{"data":[{"created":1787817384,"id":"qwen/qwen3.8-flash","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":8000,"output_token_price_per_m":27000,"pricing":{"prompt":{"origin_price_per_m":8000,"price_per_m":8000,"origin_price_per_m_decimal":"0.8","price_per_m_decimal":"0.8"},"completion":{"origin_price_per_m":27000,"price_per_m":27000,"origin_price_per_m_decimal":"2.7","price_per_m_decimal":"2.7"},"input_cache_read":{"origin_price_per_m":1000,"price_per_m":1000,"origin_price_per_m_decimal":"0.1","price_per_m_decimal":"0.1"}},"is_tiered_billing":false,"title":"qwen/qwen3.8-flash","description":"Qwen3.8-Flash 是通义千问的多模态 MoE 模型,也是 Qwen4 架构的先行版本:总参数 125B、每 token 仅激活 6B,配 51B N-gram Embedding 与 GDN + QSA 混合注意力,在保持效果的同时把推理成本压到同级模型的一个零头。支持文本 / 图片 / 视频输入,百万级上下文、单次最长输出 131K token,默认开启深度思考且可一键关闭。适合编程助手、Agent 编排、图文与超长文档理解、长视频分析等对上下文与单价同时敏感的场景。","tags":[],"context_size":1000000,"status":1,"display_name":"Qwen3.8 Flash","model_type":"chat","max_output_tokens":131072,"features":["serverless","function-calling","structured-outputs","reasoning"],"endpoints":["chat/completions","anthropic","responses"],"input_modalities":["text","image","video"],"output_modalities":["text"]},{"created":1787754770,"id":"zai-org/glm-5.3-flash","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":8000,"output_token_price_per_m":28000,"pricing":{"prompt":{"origin_price_per_m":8000,"price_per_m":8000,"origin_price_per_m_decimal":"0.8","price_per_m_decimal":"0.8"},"completion":{"origin_price_per_m":28000,"price_per_m":28000,"origin_price_per_m_decimal":"2.8","price_per_m_decimal":"2.8"},"input_cache_read":{"origin_price_per_m":2300,"price_per_m":2300,"origin_price_per_m_decimal":"0.23","price_per_m_decimal":"0.23"}},"is_tiered_billing":false,"title":"zai-org/glm-5.3-flash","description":"GLM-5.3-Flash 是 GLM-5 系列首个原生多模态模型,以极致低成本架构实现超越GLM-5.2 的更强智能。采用稀疏注意力与线性注意力混合架构,相较 GLM-5.3 将注意力计算量降低 3 倍、KV 缓存降低 4 倍以上,同时在 100 万 token 上下文下保持稳定的长文本表现。原生支持文本、图片、视频与文件输入。深度思考能力常驻开启以保证推理质量,并支持上下文缓存,重复前缀场景下可显著降低调用成本(上一代不支持缓存)。","tags":[],"context_size":1048576,"status":1,"display_name":"GLM 5.3 Flash","model_type":"chat","max_output_tokens":131072,"features":["serverless","function-calling","structured-outputs","reasoning"],"endpoints":["chat/completions","anthropic","responses"],"input_modalities":["text","image","video"],"output_modalities":["text"]},{"created":1791625314,"id":"tencent/hy4-preview","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":60000,"output_token_price_per_m":180000,"pricing":{"prompt":{"origin_price_per_m":60000,"price_per_m":60000,"origin_price_per_m_decimal":"6","price_per_m_decimal":"6"},"completion":{"origin_price_per_m":180000,"price_per_m":180000,"origin_price_per_m_decimal":"18","price_per_m_decimal":"18"},"input_cache_read":{"origin_price_per_m":3000,"price_per_m":3000,"origin_price_per_m_decimal":"0.3","price_per_m_decimal":"0.3"}},"is_tiered_billing":false,"title":"tencent/hy4-preview","description":"Hy4 Preview是腾讯推出的混合专家模型，总参数规模达 7700 亿，其中激活参数为 490 亿。该模型专为编码智能体、复杂工具调用工作流，以及需要规划能力、上下文连贯性和持续多步执行的生产力任务而设计。","tags":[],"context_size":1000000,"status":1,"display_name":"Hy4 Preview","model_type":"chat","max_output_tokens":64000,"features":["serverless","function-calling","structured-outputs","reasoning"],"endpoints":["chat/completions","anthropic","responses"],"input_modalities":["text"],"output_modalities":["text"]},{"created":1790470678,"id":"deepseek/deepseek-v4-flash-0731-p","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":30000,"output_token_price_per_m":90000,"pricing":{"prompt":{"origin_price_per_m":30000,"price_per_m":30000,"origin_price_per_m_decimal":"3","price_per_m_decimal":"3"},"completion":{"origin_price_per_m":90000,"price_per_m":90000,"origin_price_per_m_decimal":"9","price_per_m_decimal":"9"},"input_cache_read":{"origin_price_per_m":10000,"price_per_m":10000,"origin_price_per_m_decimal":"1","price_per_m_decimal":"1"}},"is_tiered_billing":false,"title":"deepseek/deepseek-v4-flash-0731-p","description":"DeepSeek V4 Flash 0731 是 DeepSeek 推出的一款稀疏混合专家（Mixture-of-Experts, MoE）模型，激活参数为 130 亿，总参数量为 2840 亿。  这个经过重新后训练的版本适用于编程、推理和智能体工作流。","tags":[],"context_size":1048576,"status":1,"display_name":"deepseek/deepseek-v4-flash-0731-p","model_type":"chat","max_output_tokens":393216,"features":["serverless","reasoning","function-calling","structured-outputs"],"endpoints":["chat/completions","anthropic","responses"],"input_modalities":["text"],"output_modalities":["text"]},{"created":1790470428,"id":"deepseek/deepseek-v4-pro-0813-p","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":90000,"output_token_price_per_m":270000,"pricing":{"prompt":{"origin_price_per_m":90000,"price_per_m":90000,"origin_price_per_m_decimal":"9","price_per_m_decimal":"9"},"completion":{"origin_price_per_m":270000,"price_per_m":270000,"origin_price_per_m_decimal":"27","price_per_m_decimal":"27"},"input_cache_read":{"origin_price_per_m":30000,"price_per_m":30000,"origin_price_per_m_decimal":"3","price_per_m_decimal":"3"}},"is_tiered_billing":false,"title":"deepseek/deepseek-v4-pro-0813-p","description":"Deepseek v4 pro正式版。","tags":[],"context_size":1048576,"status":1,"display_name":"deepseek v4 pro 0813 p","model_type":"chat","max_output_tokens":393216,"features":["serverless","reasoning","function-calling","structured-outputs"],"endpoints":["chat/completions","anthropic","responses"],"input_modalities":["text"],"output_modalities":["text"]},{"created":1789713239,"id":"deepseek/deepseek-v4.1-flash-z","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":20000,"output_token_price_per_m":80000,"pricing":{"prompt":{"origin_price_per_m":20000,"price_per_m":20000,"origin_price_per_m_decimal":"2","price_per_m_decimal":"2"},"completion":{"origin_price_per_m":80000,"price_per_m":80000,"origin_price_per_m_decimal":"8","price_per_m_decimal":"8"},"input_cache_read":{"origin_price_per_m":400,"price_per_m":400,"origin_price_per_m_decimal":"0.04","price_per_m_decimal":"0.04"}},"is_tiered_billing":false,"title":"deepseek/deepseek-v4.1-flash-z","description":"DeepSeek V4.1 Flash 的中间版本内测，采用了新的模型结构，原生多模态支持、能力更强、速度更快、且成本更低。","tags":[],"context_size":1048576,"status":1,"display_name":"DeepseekFlash","model_type":"chat","max_output_tokens":393216,"features":["serverless","function-calling","structured-outputs","reasoning"],"endpoints":["chat/completions","anthropic","responses"],"input_modalities":["text","image"],"output_modalities":["text"]},{"created":1789094936,"id":"zai-org/glm-5.3-p","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":80000,"output_token_price_per_m":280000,"pricing":{"prompt":{"origin_price_per_m":80000,"price_per_m":80000,"origin_price_per_m_decimal":"8","price_per_m_decimal":"8"},"completion":{"origin_price_per_m":280000,"price_per_m":280000,"origin_price_per_m_decimal":"28","price_per_m_decimal":"28"},"input_cache_read":{"origin_price_per_m":20000,"price_per_m":20000,"origin_price_per_m_decimal":"2","price_per_m_decimal":"2"}},"is_tiered_billing":false,"title":"zai-org/glm-5.3-p","description":"GLM-5.3 是智谱最新旗舰模型，基于与 GLM-5.2 相同的基础模型，通过大规模后训练在复杂软件工程、Agent 长程任务与网络安全能力上实现全面进阶。相比 GLM-5.2，GLM-5.3 在智谱内部 Z.ai Code Bench 编程评测中提升约 50%，并在 Terminal Bench 3.0、Agents’ Last Exam（CLI）等公开基准中达到开源模型 SOTA 水平。同时，随着后训练规模扩大，模型在漏洞发现与利用链推理方面提升显著，在 CyberGym 漏洞发现基准上取得当前最佳成绩，漏洞利用类测试得分达到 GLM-5.2 的两倍以上。","tags":[],"context_size":1048576,"status":1,"display_name":"zai-org/glm-5.3-p","model_type":"chat","min_output_tokens":0,"max_output_tokens":131072,"features":["serverless","function-calling","structured-outputs","reasoning"],"endpoints":["chat/completions","anthropic","responses"],"input_modalities":["text"],"output_modalities":["text"]},{"created":1789025827,"id":"deepseek/deepseek-v4.1-flash","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":20000,"output_token_price_per_m":80000,"pricing":{"prompt":{"origin_price_per_m":20000,"price_per_m":20000,"origin_price_per_m_decimal":"2","price_per_m_decimal":"2"},"completion":{"origin_price_per_m":80000,"price_per_m":80000,"origin_price_per_m_decimal":"8","price_per_m_decimal":"8"},"input_cache_read":{"origin_price_per_m":400,"price_per_m":400,"origin_price_per_m_decimal":"0.04","price_per_m_decimal":"0.04"}},"is_tiered_billing":false,"title":"deepseek/deepseek-v4.1-flash","description":"DeepSeek V4.1 Flash 的中间版本内测，采用了新的模型结构，原生多模态支持、能力更强、速度更快、且成本更低。","tags":[],"context_size":1048576,"status":1,"display_name":"DeepSeek V4.1 Flash","model_type":"chat","max_output_tokens":393216,"features":["serverless","function-calling","structured-outputs","reasoning"],"endpoints":["chat/completions","anthropic","responses"],"input_modalities":["text","image"],"output_modalities":["text"]},{"created":1787553834,"id":"deepseek/deepseek-v4-flash-vision-exp","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":30000,"output_token_price_per_m":90000,"pricing":{"prompt":{"origin_price_per_m":30000,"price_per_m":30000,"origin_price_per_m_decimal":"3","price_per_m_decimal":"3"},"completion":{"origin_price_per_m":90000,"price_per_m":90000,"origin_price_per_m_decimal":"9","price_per_m_decimal":"9"},"input_cache_read":{"origin_price_per_m":10000,"price_per_m":10000,"origin_price_per_m_decimal":"1","price_per_m_decimal":"1"}},"is_tiered_billing":false,"title":"deepseek/deepseek-v4-flash-vision-exp","description":"DeepSeek-V4-Flash-Vision-Exp 是 DeepSeek 推出的实验性多模态模型,在 V4-Flash 基础上加入原生视觉理解能力,并保留 100 万 token 上下文。单次请求中文本与图片可自由穿插,适用于文档与图表解析、界面理解,以及依赖视觉的 Agent 工作流。纯文本能力(Agent、推理、世界知识)与 V4-Flash 正式版持平;在需要视觉理解的 Agent 基准上,相比纯文本模型有大幅提升。","tags":[],"context_size":1048576,"status":1,"display_name":"DeepSeek V4 Flash Vision Exp","model_type":"chat","max_output_tokens":393216,"features":["serverless","reasoning","function-calling","structured-outputs"],"endpoints":["chat/completions","anthropic","responses"],"input_modalities":["text","image"],"output_modalities":["text"]},{"created":1787107460,"id":"zai-org/glm-5.3","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":80000,"output_token_price_per_m":280000,"pricing":{"prompt":{"origin_price_per_m":80000,"price_per_m":80000,"origin_price_per_m_decimal":"8","price_per_m_decimal":"8"},"completion":{"origin_price_per_m":280000,"price_per_m":280000,"origin_price_per_m_decimal":"28","price_per_m_decimal":"28"},"input_cache_read":{"origin_price_per_m":20000,"price_per_m":20000,"origin_price_per_m_decimal":"2","price_per_m_decimal":"2"}},"is_tiered_billing":false,"title":"zai-org/glm-5.3","description":"GLM-5.3 是智谱最新旗舰模型，基于与 GLM-5.2 相同的基础模型，通过大规模后训练在复杂软件工程、Agent 长程任务与网络安全能力上实现全面进阶。相比 GLM-5.2，GLM-5.3 在智谱内部 Z.ai Code Bench 编程评测中提升约 50%，并在 Terminal Bench 3.0、Agents’ Last Exam（CLI）等公开基准中达到开源模型 SOTA 水平。同时，随着后训练规模扩大，模型在漏洞发现与利用链推理方面提升显著，在 CyberGym 漏洞发现基准上取得当前最佳成绩，漏洞利用类测试得分达到 GLM-5.2 的两倍以上。","tags":[],"context_size":1048576,"status":1,"display_name":"GLM 5.3","model_type":"chat","max_output_tokens":131072,"features":["serverless","function-calling","structured-outputs","reasoning"],"endpoints":["chat/completions","anthropic","responses"],"input_modalities":["text"],"output_modalities":["text"]},{"created":1786589174,"id":"deepseek/deepseek-v4-pro-0813","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":90000,"output_token_price_per_m":270000,"pricing":{"prompt":{"origin_price_per_m":90000,"price_per_m":90000,"origin_price_per_m_decimal":"9","price_per_m_decimal":"9"},"completion":{"origin_price_per_m":270000,"price_per_m":270000,"origin_price_per_m_decimal":"27","price_per_m_decimal":"27"},"input_cache_read":{"origin_price_per_m":30000,"price_per_m":30000,"origin_price_per_m_decimal":"3","price_per_m_decimal":"3"}},"is_tiered_billing":false,"title":"deepseek/deepseek-v4-pro-0813","description":"Deepseek v4 pro正式版。","tags":[],"context_size":1048576,"status":1,"display_name":"DeepSeek V4 Pro 0813","model_type":"chat","max_output_tokens":393216,"features":["serverless","reasoning","function-calling","structured-outputs"],"endpoints":["chat/completions","anthropic","responses"],"input_modalities":["text"],"output_modalities":["text"]},{"created":1785547338,"id":"deepseek/deepseek-v4-flash-0731","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":30000,"output_token_price_per_m":90000,"pricing":{"prompt":{"origin_price_per_m":30000,"price_per_m":30000,"origin_price_per_m_decimal":"3","price_per_m_decimal":"3"},"completion":{"origin_price_per_m":90000,"price_per_m":90000,"origin_price_per_m_decimal":"9","price_per_m_decimal":"9"},"input_cache_read":{"origin_price_per_m":10000,"price_per_m":10000,"origin_price_per_m_decimal":"1","price_per_m_decimal":"1"}},"is_tiered_billing":false,"title":"deepseek/deepseek-v4-flash-0731","description":"DeepSeek V4 Flash 0731 是 DeepSeek 推出的一款稀疏混合专家（Mixture-of-Experts, MoE）模型，激活参数为 130 亿，总参数量为 2840 亿。  这个经过重新后训练的版本适用于编程、推理和智能体工作流。","tags":[],"context_size":1048576,"status":1,"display_name":"DeepSeek V4 Flash 0731","model_type":"chat","max_output_tokens":393216,"features":["serverless","reasoning","function-calling","structured-outputs"],"endpoints":["chat/completions","anthropic","responses"],"input_modalities":["text"],"output_modalities":["text"]},{"created":1784217407,"id":"moonshotai/kimi-k3","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":200000,"output_token_price_per_m":1000000,"pricing":{"prompt":{"origin_price_per_m":200000,"price_per_m":200000,"origin_price_per_m_decimal":"20","price_per_m_decimal":"20"},"completion":{"origin_price_per_m":1000000,"price_per_m":1000000,"origin_price_per_m_decimal":"100","price_per_m_decimal":"100"},"input_cache_read":{"origin_price_per_m":20000,"price_per_m":20000,"origin_price_per_m_decimal":"2","price_per_m_decimal":"2"}},"is_tiered_billing":false,"title":"moonshotai/kimi-k3","description":"Kimi K3 是 Kimi 迄今能力最强的模型，拥有 2.8 万亿参数。它基于 Kimi 混合线性注意力机制（Kimi Delta Attention）和注意力残差（Attention Residuals）技术构建，原生支持视觉理解，并拥有 100 万 token 上下文窗口，面向软件工程、知识工作和深度推理等前沿智能场景而设计。","tags":[],"context_size":1048576,"status":1,"display_name":"Kimi K3","model_type":"chat","max_output_tokens":1048576,"features":["serverless","function-calling","structured-outputs","reasoning"],"endpoints":["chat/completions","anthropic","responses"],"input_modalities":["text","image","video"],"output_modalities":["text"]},{"created":1781611668,"id":"zai-org/glm-5.2","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":80000,"output_token_price_per_m":280000,"pricing":{"prompt":{"origin_price_per_m":80000,"price_per_m":80000,"origin_price_per_m_decimal":"8","price_per_m_decimal":"8"},"completion":{"origin_price_per_m":280000,"price_per_m":280000,"origin_price_per_m_decimal":"28","price_per_m_decimal":"28"},"input_cache_read":{"origin_price_per_m":20000,"price_per_m":20000,"origin_price_per_m_decimal":"2","price_per_m_decimal":"2"}},"is_tiered_billing":false,"title":"zai-org/glm-5.2","description":"GLM-5.2 是智谱(Z.AI)最新一代旗舰大模型,面向长程自主任务设计,可在单个任务上持续工作长达 8小时——从初始规划、执行,到迭代优化与生产级成果交付,自主完成端到端工作流。其编码与 agentic 能力比肩国际一线闭源旗舰,在持续执行、复杂工程优化与真实开发场景中表现尤为突出;上下文窗口由上一代的 200K 扩展至 1M。是驱动高级智能体(Agent)与长程编码助手的理想基座模型。","tags":[],"context_size":1048576,"status":1,"display_name":"GLM 5.2","model_type":"chat","max_output_tokens":131072,"features":["serverless","function-calling","structured-outputs","reasoning"],"endpoints":["chat/completions","anthropic"],"input_modalities":["text"],"output_modalities":["text"]},{"created":1781260252,"id":"moonshotai/kimi-k2.7-code","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":65000,"output_token_price_per_m":270000,"pricing":{"prompt":{"origin_price_per_m":65000,"price_per_m":65000,"origin_price_per_m_decimal":"6.5","price_per_m_decimal":"6.5"},"completion":{"origin_price_per_m":270000,"price_per_m":270000,"origin_price_per_m_decimal":"27","price_per_m_decimal":"27"},"input_cache_read":{"origin_price_per_m":13000,"price_per_m":13000,"origin_price_per_m_decimal":"1.3","price_per_m_decimal":"1.3"}},"is_tiered_billing":false,"title":"moonshotai/kimi-k2.7-code","description":"Kimi K2.7 Code 是 MoonshotAI 推出的最强编程与智能体（Agent）模型——采用 1 万亿参数混合专家架构，支持 256K 上下文，并具备交错式思维与多步工具调用能力。它在长周期编程任务上取得了显著提升，同时相比 K2.6 将思考 token 的使用量减少了约 30%，并支持文本、图像和视频输入，可用于视觉驱动的开发工作流。","tags":[],"context_size":262144,"status":1,"display_name":"Kimi K2.7 Code","model_type":"chat","max_output_tokens":262144,"features":["serverless","function-calling","structured-outputs","reasoning"],"endpoints":["chat/completions","anthropic"],"input_modalities":["text","image","video"],"output_modalities":["text"]},{"created":1780282953,"id":"minimax/minimax-m3","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":42000,"output_token_price_per_m":168000,"pricing":{"prompt":{"origin_price_per_m":42000,"price_per_m":42000,"origin_price_per_m_decimal":"4.2","price_per_m_decimal":"4.2"},"completion":{"origin_price_per_m":168000,"price_per_m":168000,"origin_price_per_m_decimal":"16.8","price_per_m_decimal":"16.8"},"input_cache_read":{"origin_price_per_m":8400,"price_per_m":8400,"origin_price_per_m_decimal":"0.84","price_per_m_decimal":"0.84"}},"is_tiered_billing":true,"tiered_billing_configs":[{"min_tokens":1,"max_tokens":524288,"pricing":{"prompt":{"origin_price_per_m":21000,"price_per_m":21000,"origin_price_per_m_decimal":"2.1","price_per_m_decimal":"2.1"},"completion":{"origin_price_per_m":84000,"price_per_m":84000,"origin_price_per_m_decimal":"8.4","price_per_m_decimal":"8.4"},"input_cache_read":{"origin_price_per_m":4200,"price_per_m":4200,"origin_price_per_m_decimal":"0.42","price_per_m_decimal":"0.42"}}},{"min_tokens":524288,"max_tokens":1000000,"pricing":{"prompt":{"origin_price_per_m":42000,"price_per_m":42000,"origin_price_per_m_decimal":"4.2","price_per_m_decimal":"4.2"},"completion":{"origin_price_per_m":168000,"price_per_m":168000,"origin_price_per_m_decimal":"16.8","price_per_m_decimal":"16.8"},"input_cache_read":{"origin_price_per_m":8400,"price_per_m":8400,"origin_price_per_m_decimal":"0.84","price_per_m_decimal":"0.84"}}}],"title":"minimax/minimax-m3","description":"MiniMax-M3 是 MiniMax 推出的一款多模态基础模型。它支持文本、图像和视频输入以及文本输出，具备 100 万 token 的上下文窗口，非常适合长周期的智能体（Agent）任务、编程和工具使用。\n该模型基于 MiniMax 稀疏注意力机制（MSA）构建，通过 KV 块选择替代全注意力机制，从而大幅降低长上下文环境下的单 token 计算量——在处理 100 万 token 时，计算成本仅约为上一代的 1/20。在绝大多数任务中保持模型质量的同时，其预填充（prefill）和解码（decode）速度均得到了显著提升。\n作为一个原生多模态模型，MiniMax-M3 在交错数据上进行了训练，并通过交互式用户模拟器框架针对多轮、生产级协作进行了微调。因此，该模型主要面向持续的多步任务，而非单轮执行。","tags":[],"context_size":1000000,"status":1,"display_name":"MiniMax-M3","model_type":"chat","max_output_tokens":131072,"features":["serverless","function-calling","structured-outputs","reasoning"],"endpoints":["chat/completions","anthropic"],"input_modalities":["text","image","video"],"output_modalities":["text"]},{"created":1777000348,"id":"deepseek/deepseek-v4-pro","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":90000,"output_token_price_per_m":270000,"pricing":{"prompt":{"origin_price_per_m":90000,"price_per_m":90000,"origin_price_per_m_decimal":"9","price_per_m_decimal":"9"},"completion":{"origin_price_per_m":270000,"price_per_m":270000,"origin_price_per_m_decimal":"27","price_per_m_decimal":"27"},"input_cache_read":{"origin_price_per_m":30000,"price_per_m":30000,"origin_price_per_m_decimal":"3","price_per_m_decimal":"3"}},"is_tiered_billing":false,"title":"deepseek/deepseek-v4-pro","description":"DeepSeek-V4-Pro是DeepSeek打造的新一代旗舰级开源大模型，其综合效能已全面跃升至比肩世界顶尖闭源模型的水准。相比前代，V4-Pro的智能体（Agent）能力实现了突破性进化，在Agentic Coding领域稳居当前开源阵营榜首，能够提供超越业界主流基准（如 Sonnet 4.5）的高质量端到端代码交付体验。此外，该模型不仅具备领跑开源社区的海量世界知识储备，更在数学、STEM 及竞赛级编程等高难度推理测评中，展现出超越所有已公开开源模型、媲美全球顶级闭源巨头的极致逻辑推理实力。作为构建复杂智能体工作流、专业级代码开发与高阶前沿 AI 应用的理想基座，DeepSeek-V4-Pro 将为企业与开发者提供无与伦比的生产力赋能。","tags":[],"context_size":1048576,"status":1,"display_name":"DeepSeek V4 Pro","model_type":"chat","max_output_tokens":393216,"features":["serverless","reasoning","function-calling","structured-outputs"],"endpoints":["chat/completions","anthropic","responses"],"input_modalities":["text"],"output_modalities":["text"]},{"created":1790751708,"id":"stepfun/step-5-preview","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":70000,"output_token_price_per_m":200000,"pricing":{"prompt":{"origin_price_per_m":70000,"price_per_m":70000,"origin_price_per_m_decimal":"7","price_per_m_decimal":"7"},"completion":{"origin_price_per_m":200000,"price_per_m":200000,"origin_price_per_m_decimal":"20","price_per_m_decimal":"20"},"input_cache_read":{"origin_price_per_m":7000,"price_per_m":7000,"origin_price_per_m_decimal":"0.7","price_per_m_decimal":"0.7"}},"is_tiered_billing":false,"title":"stepfun/step-5-preview","description":"Step 5 Preview 是阶跃星辰面向编程、软件工程与专业知识工作的旗舰模型，采用总参数 600B、单 token 激活 27B 的稀疏 MoE 架构，支持 100 万 token 上下文与最高 6.4 万 token 输出。模型可处理文本、图片和视频输入，并支持工具调用、结构化 JSON 输出、三档推理强度、流式输出与提示缓存。","tags":[],"context_size":1000000,"status":1,"display_name":"Step 5 Preview","model_type":"chat","max_output_tokens":64000,"features":["serverless","function-calling","structured-outputs","reasoning"],"endpoints":["chat/completions","anthropic"],"input_modalities":["text","image","video"],"output_modalities":["text"]},{"created":1790234977,"id":"xiaomimimo/mimo-v2.6-flash","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":10000,"output_token_price_per_m":20000,"pricing":{"prompt":{"origin_price_per_m":10000,"price_per_m":10000,"origin_price_per_m_decimal":"1","price_per_m_decimal":"1"},"completion":{"origin_price_per_m":20000,"price_per_m":20000,"origin_price_per_m_decimal":"2","price_per_m_decimal":"2"},"input_cache_read":{"origin_price_per_m":200,"price_per_m":200,"origin_price_per_m_decimal":"0.02","price_per_m_decimal":"0.02"}},"is_tiered_billing":false,"title":"xiaomimimo/mimo-v2.6-flash","description":"MiMo V2.6 Flash 是小米面向高频调用、大规模任务和专业工作流的高性价比开源推理模型，由 PPIO 基于官方 FP8 开源权重自部署。模型原生理解文本、图片、视频和音频，支持 100 万 token 上下文与最高 12.8 万 token 输出，并具备可开关深度思考、工具调用、JSON 模式、流式输出和提示词缓存能力。","tags":[],"context_size":1048576,"status":1,"display_name":"MiMo V2.6 Flash","model_type":"chat","max_output_tokens":131072,"features":["serverless","function-calling","structured-outputs","reasoning"],"endpoints":["chat/completions","anthropic","responses"],"input_modalities":["text","image","video","audio"],"output_modalities":["text"]},{"created":1790234913,"id":"xiaomimimo/mimo-v2.6-pro","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":30000,"output_token_price_per_m":60000,"pricing":{"prompt":{"origin_price_per_m":30000,"price_per_m":30000,"origin_price_per_m_decimal":"3","price_per_m_decimal":"3"},"completion":{"origin_price_per_m":60000,"price_per_m":60000,"origin_price_per_m_decimal":"6","price_per_m_decimal":"6"},"input_cache_read":{"origin_price_per_m":250,"price_per_m":250,"origin_price_per_m_decimal":"0.025","price_per_m_decimal":"0.025"}},"is_tiered_billing":false,"title":"xiaomimimo/mimo-v2.6-pro","description":"MiMo V2.6 Pro 是小米面向复杂项目、长周期 Agent 任务、网络安全、科研与高价值专业工作的旗舰开源推理模型，由 PPIO 基于官方 FP8 开源权重自部署。模型原生理解文本、图片、视频和音频，支持 100 万 token 上下文与最高 12.8 万 token 输出，并具备可开关深度思考、工具调用、JSON 模式、流式输出和提示词缓存能力。","tags":[],"context_size":1048576,"status":1,"display_name":"MiMo V2.6 Pro","model_type":"chat","max_output_tokens":131072,"features":["serverless","function-calling","structured-outputs","reasoning"],"endpoints":["chat/completions","anthropic","responses"],"input_modalities":["text","image","video","audio"],"output_modalities":["text"]},{"created":1789730350,"id":"qwen/qwen3.7-plus","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":20000,"output_token_price_per_m":80000,"pricing":{"prompt":{"origin_price_per_m":20000,"price_per_m":20000,"origin_price_per_m_decimal":"2","price_per_m_decimal":"2"},"completion":{"origin_price_per_m":80000,"price_per_m":80000,"origin_price_per_m_decimal":"8","price_per_m_decimal":"8"},"input_cache_read":{"origin_price_per_m":4000,"price_per_m":4000,"origin_price_per_m_decimal":"0.4","price_per_m_decimal":"0.4"}},"is_tiered_billing":false,"title":"qwen/qwen3.7-plus","description":"Qwen3.7系列中高性价比Plus模型，在强大文本能力的基础上全面升级了视觉-语言能力，同时保持了在编码、工具使用和生产力工作流方面的完整智能体能力。其核心特色为多模态交互混合智能体能力，能够感知真实世界场景、读取屏幕并操作 GUI、基于视觉参考生成代码、端到端导航移动应用。","tags":[],"context_size":991000,"status":1,"display_name":"Qwen3.7 Plus","model_type":"chat","max_output_tokens":131000,"features":["serverless","function-calling","structured-outputs","reasoning"],"endpoints":["chat/completions","anthropic","responses"],"input_modalities":["text","image","video"],"output_modalities":["text"]},{"created":1787738398,"id":"qwen/qwen3.8-27b","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":30000,"output_token_price_per_m":120000,"pricing":{"prompt":{"origin_price_per_m":30000,"price_per_m":30000,"origin_price_per_m_decimal":"3","price_per_m_decimal":"3"},"completion":{"origin_price_per_m":120000,"price_per_m":120000,"origin_price_per_m_decimal":"12","price_per_m_decimal":"12"},"input_cache_read":{"origin_price_per_m":6000,"price_per_m":6000,"origin_price_per_m_decimal":"0.6","price_per_m_decimal":"0.6"}},"is_tiered_billing":false,"title":"qwen/qwen3.8-27b","description":"","tags":[],"context_size":1000000,"status":1,"display_name":"Qwen3.8 27B","model_type":"chat","max_output_tokens":131072,"features":["serverless","function-calling","structured-outputs","reasoning"],"endpoints":["chat/completions","anthropic","responses"],"input_modalities":["text","image","video"],"output_modalities":["text"]},{"created":1787638804,"id":"qwen/qwen3.8-2.4t-a95b","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":120000,"output_token_price_per_m":360000,"pricing":{"prompt":{"origin_price_per_m":120000,"price_per_m":120000,"origin_price_per_m_decimal":"12","price_per_m_decimal":"12"},"completion":{"origin_price_per_m":360000,"price_per_m":360000,"origin_price_per_m_decimal":"36","price_per_m_decimal":"36"},"input_cache_read":{"origin_price_per_m":15000,"price_per_m":15000,"origin_price_per_m_decimal":"1.5","price_per_m_decimal":"1.5"}},"is_tiered_billing":false,"title":"qwen/qwen3.8-2.4t-a95b","description":"Qwen3.8 Max 的开源权重版本。2.4 万亿参数 MoE 架构，单 token 激活 950 亿参数，编程与办公能力全面跃升，可自主编程十数天交付完整项目。胜任法律、金融、设计等数百种专业任务，一次对话端到端交付生产级成果。支持超长文档的深度语义解析，长程任务中自主规划与闭环迭代，持续进化。纯文本模型。","tags":[],"context_size":1000000,"status":1,"display_name":"Qwen3.8 2.4T A95B","model_type":"chat","max_output_tokens":131072,"features":["serverless","function-calling","structured-outputs","reasoning"],"endpoints":["chat/completions","responses"],"input_modalities":["text"],"output_modalities":["text"]},{"created":1785725798,"id":"qwen/qwen3.8-max","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":120000,"output_token_price_per_m":360000,"pricing":{"prompt":{"origin_price_per_m":120000,"price_per_m":120000,"origin_price_per_m_decimal":"12","price_per_m_decimal":"12"},"completion":{"origin_price_per_m":360000,"price_per_m":360000,"origin_price_per_m_decimal":"36","price_per_m_decimal":"36"},"input_cache_read":{"origin_price_per_m":15000,"price_per_m":15000,"origin_price_per_m_decimal":"1.5","price_per_m_decimal":"1.5"}},"is_tiered_billing":false,"title":"qwen/qwen3.8-max","description":"2.4万亿参数MoE旗舰，编程与办公能力全面跃升，可自主编程十数天交付完整项目。胜任法律、金融、设计等数百种专业任务，一次对话端到端交付生产级成果。原生视觉理解贯穿规划、执行与验证全流程，支持超长文档与长视频的深度语义解析。长程任务中自主规划与闭环迭代，持续进化。","tags":[],"context_size":1000000,"status":1,"display_name":"Qwen3.8 Max","model_type":"chat","max_output_tokens":131072,"features":["serverless","function-calling","structured-outputs","reasoning"],"endpoints":["chat/completions","anthropic","responses"],"input_modalities":["text","image","video"],"output_modalities":["text"]},{"created":1780038921,"id":"xiaomimimo/mimo-v2.5","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":10000,"output_token_price_per_m":20000,"pricing":{"prompt":{"origin_price_per_m":10000,"price_per_m":10000,"origin_price_per_m_decimal":"1","price_per_m_decimal":"1"},"completion":{"origin_price_per_m":20000,"price_per_m":20000,"origin_price_per_m_decimal":"2","price_per_m_decimal":"2"},"input_cache_read":{"origin_price_per_m":200,"price_per_m":200,"origin_price_per_m_decimal":"0.02","price_per_m_decimal":"0.02"}},"is_tiered_billing":false,"title":"xiaomimimo/mimo-v2.5","description":"mimo-v2.5， 原生全模态模型，支持文本、图像、视频和音频理解，具备强大的 Agent 能力","tags":[],"context_size":1048576,"status":1,"display_name":"Xiaomi MiMo V2.5","model_type":"chat","max_output_tokens":131072,"features":["serverless","function-calling","structured-outputs","reasoning"],"endpoints":["completions","chat/completions","anthropic"],"input_modalities":["text","image","video"],"output_modalities":["text"]},{"created":1779367764,"id":"qwen/qwen3.7-max","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":60000,"output_token_price_per_m":180000,"pricing":{"prompt":{"origin_price_per_m":60000,"price_per_m":60000,"origin_price_per_m_decimal":"6","price_per_m_decimal":"6"},"completion":{"origin_price_per_m":180000,"price_per_m":180000,"origin_price_per_m_decimal":"18","price_per_m_decimal":"18"},"input_cache_read":{"origin_price_per_m":12000,"price_per_m":12000,"origin_price_per_m_decimal":"1.2","price_per_m_decimal":"1.2"}},"is_tiered_billing":false,"title":"qwen/qwen3.7-max","description":"Qwen3.7系列中规模最大、综合能力最强的Max模型，当前开放纯文本模型能力供体验。Qwen3.7是面向智能体时代的新一代旗舰模型，核心优势在于智能体能力的广度与深度：在编程、办公与生产力、长周期自主执行方面均能出色胜任各项任务。","tags":[],"context_size":1000000,"status":1,"display_name":"Qwen3.7 Max","model_type":"chat","max_output_tokens":65536,"features":["serverless","function-calling","structured-outputs","reasoning"],"endpoints":["chat/completions"],"input_modalities":["text"],"output_modalities":["text"]},{"created":1778060201,"id":"xiaomimimo/mimo-v2.5-pro","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":30000,"output_token_price_per_m":60000,"pricing":{"prompt":{"origin_price_per_m":30000,"price_per_m":30000,"origin_price_per_m_decimal":"3","price_per_m_decimal":"3"},"completion":{"origin_price_per_m":60000,"price_per_m":60000,"origin_price_per_m_decimal":"6","price_per_m_decimal":"6"},"input_cache_read":{"origin_price_per_m":250,"price_per_m":250,"origin_price_per_m_decimal":"0.025","price_per_m_decimal":"0.025"}},"is_tiered_billing":false,"title":"xiaomimimo/mimo-v2.5-pro","description":"MiMo-V2.5-Pro专为突破复杂软件工程与极致长程任务的边界而生。相较于上一代产品，它在通用智能体能力上实现了全方位跃升，将人机协作范式推向了真正的“自主交付”。它能够在无人工干预的情况下，稳定驾驭单次高达近千轮工具调用的超大跨度工作流，不仅能精准捕捉超长上下文中的隐性要求，更展现出卓越的全局架构规划与自我纠错纪律。在核心的 Agent 场景与长程复杂任务维度上，MiMo-V2.5-Pro 已具备与 Claude Opus 4.6、GPT-5.4 等全球第一梯队模型正面较量的硬核实力。凭借这种极高的执行置信度与长周期逻辑一致性，它已完全能够摆脱“辅助”标签，在真实业务中承担起真正严肃的专业级工作。","tags":[],"context_size":1048576,"status":1,"display_name":"Xiaomi MiMo V2.5 Pro","model_type":"chat","max_output_tokens":131072,"features":["serverless","function-calling","structured-outputs","reasoning"],"endpoints":["completions","chat/completions","anthropic"],"input_modalities":["text"],"output_modalities":["text"]},{"created":1776936016,"id":"qwen/qwen3.6-27b","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":30000,"output_token_price_per_m":180000,"pricing":{"prompt":{"origin_price_per_m":30000,"price_per_m":30000,"origin_price_per_m_decimal":"3","price_per_m_decimal":"3"},"completion":{"origin_price_per_m":180000,"price_per_m":180000,"origin_price_per_m_decimal":"18","price_per_m_decimal":"18"}},"is_tiered_billing":false,"title":"qwen/qwen3.6-27b","description":"Qwen3.6系列27B原生视觉语言Dense模型，模型效果相较3.5-27B重点提升了Agentic coding能力、模型STEM与推理能力进一步增强；视觉模态方面在空间智能、物体定位与检测能力上显著增强，视频理解、文档OCR及视觉Agent能力稳步提升。","tags":[],"context_size":262144,"status":1,"display_name":"Qwen3.6 27B","model_type":"chat","max_output_tokens":65536,"features":["serverless","function-calling","structured-outputs","reasoning"],"endpoints":["chat/completions"],"input_modalities":["text","image","video"],"output_modalities":["text"]},{"created":1776650775,"id":"moonshotai/kimi-k2.6","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":65000,"output_token_price_per_m":270000,"pricing":{"prompt":{"origin_price_per_m":65000,"price_per_m":65000,"origin_price_per_m_decimal":"6.5","price_per_m_decimal":"6.5"},"completion":{"origin_price_per_m":270000,"price_per_m":270000,"origin_price_per_m_decimal":"27","price_per_m_decimal":"27"},"input_cache_read":{"origin_price_per_m":11000,"price_per_m":11000,"origin_price_per_m_decimal":"1.1","price_per_m_decimal":"1.1"}},"is_tiered_billing":false,"title":"moonshotai/kimi-k2.6","description":"Kimi K2.6是一款开源的原生多模态智能体大模型，在长周期代码开发、代码驱动设计、主动式自主执行以及智能体集群编排等核心能力上实现了全面跃升。该模型不仅能跨语言、跨领域胜任复杂的端到端开发任务，还能将简单的自然语言与视觉输入直接转化为具备审美精度的生产级界面与全栈工作流。更具突破性的是，K2.6 支持横向扩展至300个子智能体、协同执行高达 4000 步的复杂操作，能够动态拆解任务并一次性完成从文档、报表到网站的端到端交付。同时，凭借强大的主动式编排能力，K2.6能够完美支撑7x24小时全天候无人工干预的后台自主运行，全面接管日程管理、代码执行与跨平台操作，是构建下一代复杂自主智能体系统的理想底座。","tags":[],"context_size":262144,"status":1,"display_name":"Kimi K2.6","model_type":"chat","max_output_tokens":262144,"features":["serverless","function-calling","structured-outputs","reasoning"],"endpoints":["chat/completions","anthropic"],"input_modalities":["text","image","video"],"output_modalities":["text"]},{"created":1775554068,"id":"zai-org/glm-5.1","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":80000,"output_token_price_per_m":280000,"pricing":{"prompt":{"origin_price_per_m":80000,"price_per_m":80000,"origin_price_per_m_decimal":"8","price_per_m_decimal":"8"},"completion":{"origin_price_per_m":280000,"price_per_m":280000,"origin_price_per_m_decimal":"28","price_per_m_decimal":"28"},"input_cache_read":{"origin_price_per_m":20000,"price_per_m":20000,"origin_price_per_m_decimal":"2","price_per_m_decimal":"2"}},"is_tiered_billing":true,"tiered_billing_configs":[{"min_tokens":1,"max_tokens":32768,"pricing":{"prompt":{"origin_price_per_m":60000,"price_per_m":60000,"origin_price_per_m_decimal":"6","price_per_m_decimal":"6"},"completion":{"origin_price_per_m":240000,"price_per_m":240000,"origin_price_per_m_decimal":"24","price_per_m_decimal":"24"},"input_cache_read":{"origin_price_per_m":13000,"price_per_m":13000,"origin_price_per_m_decimal":"1.3","price_per_m_decimal":"1.3"}}},{"min_tokens":32768,"max_tokens":204800,"pricing":{"prompt":{"origin_price_per_m":80000,"price_per_m":80000,"origin_price_per_m_decimal":"8","price_per_m_decimal":"8"},"completion":{"origin_price_per_m":280000,"price_per_m":280000,"origin_price_per_m_decimal":"28","price_per_m_decimal":"28"},"input_cache_read":{"origin_price_per_m":20000,"price_per_m":20000,"origin_price_per_m_decimal":"2","price_per_m_decimal":"2"}}}],"title":"zai-org/glm-5.1","description":"GLM-5.1 是专为复杂系统工程与长程 Agent 任务设计的开源基座模型，旨在为顶尖程序员提供可靠生产力。区别于仅关注代码片段生成的传统模型，GLM-5.1突破了“能写代码”到“能构建系统”的界限，具备资深架构师级的长程规划与执行能力。它摒弃了“重前端、轻逻辑”的路径，在后端重构、复杂算法实现及深度调试上展现出卓越的推理与自愈能力，能自主分析日志并迭代修复顽固 Bug 直至系统跑通。作为开源界首个具备类 Opus 风格及系统工程能力的模型，GLM-5.1不仅赋予开发者极致的逻辑密度，更提供了本地部署的自由与高性价比，是大型后端开发与自动化 Agent 构建的理想选择。","tags":[],"context_size":204800,"status":1,"display_name":"GLM 5.1","model_type":"chat","max_output_tokens":131072,"features":["function-calling","structured-outputs","reasoning","serverless"],"endpoints":["chat/completions","anthropic"],"input_modalities":["text"],"output_modalities":["text"]},{"created":1775119888,"id":"minimax/minimax-m2.7-highspeed","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":42000,"output_token_price_per_m":168000,"pricing":{"prompt":{"origin_price_per_m":42000,"price_per_m":42000,"origin_price_per_m_decimal":"4.2","price_per_m_decimal":"4.2"},"completion":{"origin_price_per_m":168000,"price_per_m":168000,"origin_price_per_m_decimal":"16.8","price_per_m_decimal":"16.8"},"input_cache_read":{"origin_price_per_m":4200,"price_per_m":4200,"origin_price_per_m_decimal":"0.42","price_per_m_decimal":"0.42"},"input_cache_write":{"origin_price_per_m":26250,"price_per_m":26250,"origin_price_per_m_decimal":"2.625","price_per_m_decimal":"2.625"}},"is_tiered_billing":false,"title":"minimax/minimax-m2.7-highspeed","description":"MiniMax M2.7-highspeed 是MiniMax M2.7的高速版，完美融合了硬核的工程生产力与高情商的拟人交互能力。在真实的软件工程场景中，M2.7 展现出卓越的极客素养，不仅能独立承担端到端的完整项目交付，还能高效处理日志排查、代码安全及机器学习等高难度任务。在专业办公领域，它凭借开源最高的 GDPval-AA 得分（1495 ELO），实现了对 Office 三件套的高保真复杂编辑与多轮修改，任务交付能力跃升至行业顶尖水平。作为复杂环境交互的利器，M2.7 在处理长上下文及复杂工具调用时保持着高达 97% 的技能遵循率，其在 MMClaw 的评测表现已直逼最新的 Sonnet 4.6。更为难得的是，M2.7 打破了传统生产力模型“冷冰冰”的工具属性，具备极佳的身份保持能力与高情商，在赋能企业级自动化的同时，也为互动娱乐场景的创新释放了巨大的想象空间。","tags":[],"context_size":204800,"status":1,"display_name":"MiniMax M2.7-highspeed","model_type":"chat","max_output_tokens":131072,"features":["serverless","function-calling","structured-outputs","reasoning"],"endpoints":["chat/completions","anthropic"],"input_modalities":["text"],"output_modalities":["text"]},{"created":1773738976,"id":"minimax/minimax-m2.7","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":21000,"output_token_price_per_m":84000,"pricing":{"prompt":{"origin_price_per_m":21000,"price_per_m":21000,"origin_price_per_m_decimal":"2.1","price_per_m_decimal":"2.1"},"completion":{"origin_price_per_m":84000,"price_per_m":84000,"origin_price_per_m_decimal":"8.4","price_per_m_decimal":"8.4"},"input_cache_read":{"origin_price_per_m":4200,"price_per_m":4200,"origin_price_per_m_decimal":"0.42","price_per_m_decimal":"0.42"},"input_cache_write":{"origin_price_per_m":26250,"price_per_m":26250,"origin_price_per_m_decimal":"2.625","price_per_m_decimal":"2.625"}},"is_tiered_billing":false,"title":"minimax/minimax-m2.7","description":"MiniMax M2.7 是一款全方位进化的全能型开源大语言模型，完美融合了硬核的工程生产力与高情商的拟人交互能力。在真实的软件工程场景中，M2.7 展现出卓越的极客素养，不仅能独立承担端到端的完整项目交付，还能高效处理日志排查、代码安全及机器学习等高难度任务。在专业办公领域，它凭借开源最高的 GDPval-AA 得分（1495 ELO），实现了对 Office 三件套的高保真复杂编辑与多轮修改，任务交付能力跃升至行业顶尖水平。作为复杂环境交互的利器，M2.7 在处理长上下文及复杂工具调用时保持着高达 97% 的技能遵循率，其在 MMClaw 的评测表现已直逼最新的 Sonnet 4.6。更为难得的是，M2.7 打破了传统生产力模型“冷冰冰”的工具属性，具备极佳的身份保持能力与高情商，在赋能企业级自动化的同时，也为互动娱乐场景的创新释放了巨大的想象空间。","tags":[],"context_size":204800,"status":1,"display_name":"MiniMax M2.7","model_type":"chat","max_output_tokens":131072,"features":["serverless","function-calling","structured-outputs","reasoning"],"endpoints":["chat/completions","anthropic"],"input_modalities":["text"],"output_modalities":["text"]},{"created":1772075632,"id":"qwen/qwen3.5-27b","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":18000,"output_token_price_per_m":144000,"pricing":{"prompt":{"origin_price_per_m":18000,"price_per_m":18000,"origin_price_per_m_decimal":"1.8","price_per_m_decimal":"1.8"},"completion":{"origin_price_per_m":144000,"price_per_m":144000,"origin_price_per_m_decimal":"14.4","price_per_m_decimal":"14.4"}},"is_tiered_billing":true,"tiered_billing_configs":[{"min_tokens":1,"max_tokens":128000,"pricing":{"prompt":{"origin_price_per_m":6000,"price_per_m":6000,"origin_price_per_m_decimal":"0.6","price_per_m_decimal":"0.6"},"completion":{"origin_price_per_m":48000,"price_per_m":48000,"origin_price_per_m_decimal":"4.8","price_per_m_decimal":"4.8"}}},{"min_tokens":128000,"max_tokens":262144,"pricing":{"prompt":{"origin_price_per_m":18000,"price_per_m":18000,"origin_price_per_m_decimal":"1.8","price_per_m_decimal":"1.8"},"completion":{"origin_price_per_m":144000,"price_per_m":144000,"origin_price_per_m_decimal":"14.4","price_per_m_decimal":"14.4"}}}],"title":"qwen/qwen3.5-27b","description":"Qwen3.5系列27B原生视觉语言Dense模型，融合了线性注意力机制；响应速度快，兼具推理速度和性能。该模型的综合能力接近于Qwen3.5-122B-A10B。","tags":[],"context_size":262144,"status":1,"display_name":"Qwen3.5 27B","model_type":"chat","max_output_tokens":65536,"features":["serverless","function-calling","structured-outputs","reasoning"],"endpoints":["chat/completions"],"input_modalities":["text","image","video"],"output_modalities":["text"]},{"created":1772074124,"id":"qwen/qwen3.5-122b-a10b","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":20000,"output_token_price_per_m":160000,"pricing":{"prompt":{"origin_price_per_m":20000,"price_per_m":20000,"origin_price_per_m_decimal":"2","price_per_m_decimal":"2"},"completion":{"origin_price_per_m":160000,"price_per_m":160000,"origin_price_per_m_decimal":"16","price_per_m_decimal":"16"}},"is_tiered_billing":true,"tiered_billing_configs":[{"min_tokens":1,"max_tokens":128000,"pricing":{"prompt":{"origin_price_per_m":8000,"price_per_m":8000,"origin_price_per_m_decimal":"0.8","price_per_m_decimal":"0.8"},"completion":{"origin_price_per_m":64000,"price_per_m":64000,"origin_price_per_m_decimal":"6.4","price_per_m_decimal":"6.4"}}},{"min_tokens":128000,"max_tokens":262144,"pricing":{"prompt":{"origin_price_per_m":20000,"price_per_m":20000,"origin_price_per_m_decimal":"2","price_per_m_decimal":"2"},"completion":{"origin_price_per_m":160000,"price_per_m":160000,"origin_price_per_m_decimal":"16","price_per_m_decimal":"16"}}}],"title":"qwen/qwen3.5-122b-a10b","description":"Qwen3.5系列122B-A10B原生视觉语言模型，基于混合架构设计，融合了线性注意力机制与稀疏混合专家模型，实现了更高的推理效率。该模型的综合表现仅次于Qwen3.5-397B-A17B，文本能力显著优于Qwen3-235B-2507，视觉能力优于Qwen3-VL-235B。","tags":[],"context_size":262144,"status":1,"display_name":"Qwen3.5 122B A10B","model_type":"chat","max_output_tokens":65536,"features":["serverless","function-calling","structured-outputs","reasoning"],"endpoints":["chat/completions"],"input_modalities":["text","image","video"],"output_modalities":["text"]},{"created":1772071544,"id":"qwen/qwen3.5-35b-a3b","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":16000,"output_token_price_per_m":128000,"pricing":{"prompt":{"origin_price_per_m":16000,"price_per_m":16000,"origin_price_per_m_decimal":"1.6","price_per_m_decimal":"1.6"},"completion":{"origin_price_per_m":128000,"price_per_m":128000,"origin_price_per_m_decimal":"12.8","price_per_m_decimal":"12.8"}},"is_tiered_billing":true,"tiered_billing_configs":[{"min_tokens":1,"max_tokens":128000,"pricing":{"prompt":{"origin_price_per_m":4000,"price_per_m":4000,"origin_price_per_m_decimal":"0.4","price_per_m_decimal":"0.4"},"completion":{"origin_price_per_m":32000,"price_per_m":32000,"origin_price_per_m_decimal":"3.2","price_per_m_decimal":"3.2"}}},{"min_tokens":128000,"max_tokens":262144,"pricing":{"prompt":{"origin_price_per_m":16000,"price_per_m":16000,"origin_price_per_m_decimal":"1.6","price_per_m_decimal":"1.6"},"completion":{"origin_price_per_m":128000,"price_per_m":128000,"origin_price_per_m_decimal":"12.8","price_per_m_decimal":"12.8"}}}],"title":"qwen/qwen3.5-35b-a3b","description":"Qwen3.5系列35B-A3B原生视觉语言模型，基于混合架构设计，融合了线性注意力机制与稀疏混合专家模型，实现了更高的推理效率。该模型的综合表现接近于Qwen3.5-27B。","tags":[],"context_size":262144,"status":1,"display_name":"Qwen3.5 35B A3B","model_type":"chat","max_output_tokens":65536,"features":["serverless","function-calling","structured-outputs","reasoning"],"endpoints":["chat/completions"],"input_modalities":["text","image","video"],"output_modalities":["text"]},{"created":1771235830,"id":"qwen/qwen3.5-397b-a17b","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":30000,"output_token_price_per_m":180000,"pricing":{"prompt":{"origin_price_per_m":30000,"price_per_m":30000,"origin_price_per_m_decimal":"3","price_per_m_decimal":"3"},"completion":{"origin_price_per_m":180000,"price_per_m":180000,"origin_price_per_m_decimal":"18","price_per_m_decimal":"18"}},"is_tiered_billing":true,"tiered_billing_configs":[{"min_tokens":1,"max_tokens":128000,"pricing":{"prompt":{"origin_price_per_m":12000,"price_per_m":12000,"origin_price_per_m_decimal":"1.2","price_per_m_decimal":"1.2"},"completion":{"origin_price_per_m":72000,"price_per_m":72000,"origin_price_per_m_decimal":"7.2","price_per_m_decimal":"7.2"}}},{"min_tokens":128000,"max_tokens":262144,"pricing":{"prompt":{"origin_price_per_m":30000,"price_per_m":30000,"origin_price_per_m_decimal":"3","price_per_m_decimal":"3"},"completion":{"origin_price_per_m":180000,"price_per_m":180000,"origin_price_per_m_decimal":"18","price_per_m_decimal":"18"}}}],"title":"qwen/qwen3.5-397b-a17b","description":"Qwen3.5系列397B-A17B原生视觉语言模型，基于混合架构设计，融合了线性注意力机制与稀疏混合专家模型，实现了更高的推理效率。在语言理解、逻辑推理、代码生成、智能体任务、图像理解、视频理解、图形用户界面（GUI）等多种任务中，均展现出与当前顶尖前沿模型相媲美的卓越性能。具备强大的代码生成与智能体能力，对于各类智能体场景具有良好的泛化性。","tags":[],"context_size":262144,"status":1,"display_name":"Qwen3.5 397B A17B","model_type":"chat","max_output_tokens":65536,"features":["serverless","function-calling","structured-outputs","reasoning"],"endpoints":["chat/completions"],"input_modalities":["text","image","video"],"output_modalities":["text"]},{"created":1770874607,"id":"minimax/minimax-m2.5","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":21000,"output_token_price_per_m":84000,"pricing":{"prompt":{"origin_price_per_m":21000,"price_per_m":21000,"origin_price_per_m_decimal":"2.1","price_per_m_decimal":"2.1"},"completion":{"origin_price_per_m":84000,"price_per_m":84000,"origin_price_per_m_decimal":"8.4","price_per_m_decimal":"8.4"},"input_cache_read":{"origin_price_per_m":2100,"price_per_m":2100,"origin_price_per_m_decimal":"0.21","price_per_m_decimal":"0.21"},"input_cache_write":{"origin_price_per_m":26250,"price_per_m":26250,"origin_price_per_m_decimal":"2.625","price_per_m_decimal":"2.625"}},"is_tiered_billing":false,"title":"minimax/minimax-m2.5","description":"MiniMax-M2.5 是一款专为生产力打造的 SOTA大语言模型。经过在各种复杂且真实的数字化工作环境中的训练，M2.5 建立在 M2.1 的编程专长之上，将能力扩展到了通用办公领域。它能够流畅地生成和操作 Word、Excel 和 PowerPoint 文件，在不同的软件环境之间灵活切换，并能跨越不同的人机团队进行协作。M2.5 在 SWE-Bench Verified 上取得了 80.2% 的得分，在 Multi-SWE-Bench 上得分为 51.3%，在 BrowseComp 上得分为 76.3%。此外，M2.5 比上一代产品具有更高的 token 效率，因为它经过专门训练，能够通过规划来优化自身的行动和输出。","tags":[],"context_size":204800,"status":1,"display_name":"MiniMax M2.5","model_type":"chat","max_output_tokens":131072,"features":["serverless","function-calling","structured-outputs","reasoning"],"endpoints":["chat/completions","anthropic"],"input_modalities":["text"],"output_modalities":["text"]},{"created":1770628413,"id":"minimax/minimax-m2.1-h","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":0,"output_token_price_per_m":0,"is_tiered_billing":false,"title":"minimax/minimax-m2.1-h","description":"MiniMax M2.1模型的发布标志着人工智能辅助开发进入了全新阶段。该模型在多语言编程支持方面取得重大突破，完整覆盖主流开发语言，包括Rust、Java、Golang、C++、Kotlin、Objective-C、TypeScript和JavaScript等，其性能表现位居行业前列。\n\n在技术特性方面，M2.1模型实现了显著的性能优化，响应速度提升22%，同时token消耗降低30%。模型兼容主流智能体框架，包括Claude Code、Droid Factory AI和BlackBox等，支持完整的开发流程协作。\n\n模型功能覆盖移动端开发全场景，支持Android/iOS平台开发需求，具备Web设计理解和3D可视化能力，可生成交互式原型。其代码生成质量经过严格测试，在多个技术赛道展现出色表现。\n\nMiniMax团队通过算法优化和计算架构升级，使M2.1在保持高性能的同时显著降低计算资源消耗，这是人工智能辅助开发工具向产业化应用迈出的重要一步。该模型的推出将重新定义开发者与AI协作的工作模式。","tags":[],"context_size":204800,"status":1,"display_name":"minimax/minimax-m2.1","model_type":"chat","max_output_tokens":131072,"features":["function-calling","structured-outputs","reasoning","serverless"],"endpoints":["chat/completions","anthropic"],"input_modalities":["text"],"output_modalities":["text"]},{"created":1770519812,"id":"zai-org/glm-5","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":60000,"output_token_price_per_m":220000,"pricing":{"prompt":{"origin_price_per_m":60000,"price_per_m":60000,"origin_price_per_m_decimal":"6","price_per_m_decimal":"6"},"completion":{"origin_price_per_m":220000,"price_per_m":220000,"origin_price_per_m_decimal":"22","price_per_m_decimal":"22"},"input_cache_read":{"origin_price_per_m":15000,"price_per_m":15000,"origin_price_per_m_decimal":"1.5","price_per_m_decimal":"1.5"}},"is_tiered_billing":true,"tiered_billing_configs":[{"min_tokens":1,"max_tokens":32000,"pricing":{"prompt":{"origin_price_per_m":40000,"price_per_m":40000,"origin_price_per_m_decimal":"4","price_per_m_decimal":"4"},"completion":{"origin_price_per_m":180000,"price_per_m":180000,"origin_price_per_m_decimal":"18","price_per_m_decimal":"18"},"input_cache_read":{"origin_price_per_m":10000,"price_per_m":10000,"origin_price_per_m_decimal":"1","price_per_m_decimal":"1"}}},{"min_tokens":32000,"max_tokens":204800,"pricing":{"prompt":{"origin_price_per_m":60000,"price_per_m":60000,"origin_price_per_m_decimal":"6","price_per_m_decimal":"6"},"completion":{"origin_price_per_m":220000,"price_per_m":220000,"origin_price_per_m_decimal":"22","price_per_m_decimal":"22"},"input_cache_read":{"origin_price_per_m":15000,"price_per_m":15000,"origin_price_per_m_decimal":"1.5","price_per_m_decimal":"1.5"}}}],"title":"zai-org/glm-5","description":"GLM-5 是专为复杂系统工程与长程 Agent 任务设计的开源基座模型，旨在为顶尖程序员提供可靠生产力。区别于仅关注代码片段生成的传统模型，GLM-5 突破了“能写代码”到“能构建系统”的界限，具备资深架构师级的长程规划与执行能力。它摒弃了“重前端、轻逻辑”的路径，在后端重构、复杂算法实现及深度调试上展现出卓越的推理与自愈能力，能自主分析日志并迭代修复顽固 Bug 直至系统跑通。作为开源界首个具备类 Opus 风格及系统工程能力的模型，GLM-5 不仅赋予开发者极致的逻辑密度，更提供了本地部署的自由与高性价比，是大型后端开发与自动化 Agent 构建的理想选择。","tags":[],"context_size":202800,"status":1,"display_name":"GLM 5","model_type":"chat","max_output_tokens":131072,"features":["function-calling","structured-outputs","reasoning","serverless"],"endpoints":["chat/completions","anthropic"],"input_modalities":["text"],"output_modalities":["text"]},{"created":1769499610,"id":"deepseek/deepseek-ocr-2","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":2160,"output_token_price_per_m":2160,"pricing":{"prompt":{"origin_price_per_m":2160,"price_per_m":2160,"origin_price_per_m_decimal":"0.216","price_per_m_decimal":"0.216"},"completion":{"origin_price_per_m":2160,"price_per_m":2160,"origin_price_per_m_decimal":"0.216","price_per_m_decimal":"0.216"}},"is_tiered_billing":false,"title":"deepseek/deepseek-ocr-2","description":"DeepSeek-OCR 2 是 DeepSeek AI 发布的多模态文档识别模型，作为 DeepSeek-OCR 的升级版本，通过引入 DeepEncoder V2 架构，实现了视觉编码从「固定扫描」向「语义推理」的范式转变。该模型将原有 CLIP 编码器替换为轻量级语言模型（Qwen2-0.5B），并引入因果流查询机制，解码器沿用 DeepSeek-3B-MoE。模型仅需 256 至 1120 个视觉 Token 即可覆盖复杂文档页面，在 OmniDocBench v1.5 评测中综合得分达 91.09%，较前代提升 3.73%，阅读顺序识别编辑距离从 0.085 降至 0.057。","tags":[],"context_size":8192,"status":1,"display_name":"DeepSeek OCR 2","model_type":"chat","max_output_tokens":8192,"features":["serverless"],"endpoints":["chat/completions","anthropic"],"input_modalities":["text","image"],"output_modalities":["text"]},{"created":1769495830,"id":"moonshotai/kimi-k2.5","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":40000,"output_token_price_per_m":210000,"pricing":{"prompt":{"origin_price_per_m":40000,"price_per_m":40000,"origin_price_per_m_decimal":"4","price_per_m_decimal":"4"},"completion":{"origin_price_per_m":210000,"price_per_m":210000,"origin_price_per_m_decimal":"21","price_per_m_decimal":"21"},"input_cache_read":{"origin_price_per_m":7000,"price_per_m":7000,"origin_price_per_m_decimal":"0.7","price_per_m_decimal":"0.7"}},"is_tiered_billing":false,"title":"moonshotai/kimi-k2.5","description":"Kimi K2.5 是 Kimi K2 系列的最新里程碑式升级。它基于 Moonshot AI 的大规模混合专家（MoE）架构，引入了原生多模态处理能力，支持视觉与文本的统一输入及推理。Kimi K2.5 延续了 256k 的超长上下文窗口，并新增了深度思考（Long-Thinking）与快速非思考的双模式支持。此次更新彻底重塑了代码开发体验，特别是在前端领域，实现了从自然语言到复杂动态、交互式 UI 的端到端生成。作为当前最智能的 Kimi 模型，Kimi K2.5 在 Agent 代理、全栈代码开发及视觉理解等通用智能任务上均取得了开源领域的 SOTA 性能，并针对多步逻辑推理和复杂工具调用进行了深度优化。","tags":[],"context_size":262144,"status":1,"display_name":"Kimi K2.5","model_type":"chat","max_output_tokens":262144,"features":["serverless","function-calling","structured-outputs","reasoning"],"endpoints":["chat/completions","anthropic"],"input_modalities":["text","image","video"],"output_modalities":["text"]},{"created":1768823406,"id":"zai-org/glm-4.7-flash","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":5000,"output_token_price_per_m":30000,"pricing":{"prompt":{"origin_price_per_m":5000,"price_per_m":5000,"origin_price_per_m_decimal":"0.5","price_per_m_decimal":"0.5"},"completion":{"origin_price_per_m":30000,"price_per_m":30000,"origin_price_per_m_decimal":"3","price_per_m_decimal":"3"},"input_cache_read":{"origin_price_per_m":1000,"price_per_m":1000,"origin_price_per_m_decimal":"0.1","price_per_m_decimal":"0.1"}},"is_tiered_billing":false,"title":"zai-org/glm-4.7-flash","description":"GLM-4.7-Flash 作为 30B 级 SOTA 模型，提供了一个兼顾性能与效率的新选择。面向 Agentic Coding 场景强化了编码能力、长程任务规划与工具协同，并在多个公开基准的当期榜单中取得同尺寸开源模型中的领先表现。在执行复杂智能体任务，在工具调用时指令遵循更强，Artifacts 与 Agentic Coding 的前端美感和长程任务完成效率进一步提升。","tags":[],"context_size":200000,"status":1,"display_name":"GLM 4.7 Flash","model_type":"chat","max_output_tokens":128000,"features":["serverless","reasoning","structured-outputs","function-calling"],"endpoints":["chat/completions","anthropic"],"input_modalities":["text"],"output_modalities":["text"]},{"created":1766422843,"id":"zai-org/glm-4.7","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":40000,"output_token_price_per_m":160000,"pricing":{"prompt":{"origin_price_per_m":40000,"price_per_m":40000,"origin_price_per_m_decimal":"4","price_per_m_decimal":"4"},"completion":{"origin_price_per_m":160000,"price_per_m":160000,"origin_price_per_m_decimal":"16","price_per_m_decimal":"16"},"input_cache_read":{"origin_price_per_m":8000,"price_per_m":8000,"origin_price_per_m_decimal":"0.8","price_per_m_decimal":"0.8"},"input_cache_write":{"origin_price_per_m":8000,"price_per_m":8000,"origin_price_per_m_decimal":"0.8","price_per_m_decimal":"0.8"}},"is_tiered_billing":true,"tiered_billing_configs":[{"min_tokens":1,"max_tokens":32000,"output_min_tokens":1,"output_max_tokens":200,"pricing":{"prompt":{"origin_price_per_m":20000,"price_per_m":20000,"origin_price_per_m_decimal":"2","price_per_m_decimal":"2"},"completion":{"origin_price_per_m":80000,"price_per_m":80000,"origin_price_per_m_decimal":"8","price_per_m_decimal":"8"},"input_cache_read":{"origin_price_per_m":4000,"price_per_m":4000,"origin_price_per_m_decimal":"0.4","price_per_m_decimal":"0.4"}}},{"min_tokens":1,"max_tokens":32000,"output_min_tokens":200,"output_max_tokens":131072,"pricing":{"prompt":{"origin_price_per_m":30000,"price_per_m":30000,"origin_price_per_m_decimal":"3","price_per_m_decimal":"3"},"completion":{"origin_price_per_m":140000,"price_per_m":140000,"origin_price_per_m_decimal":"14","price_per_m_decimal":"14"},"input_cache_read":{"origin_price_per_m":6000,"price_per_m":6000,"origin_price_per_m_decimal":"0.6","price_per_m_decimal":"0.6"}}},{"min_tokens":32000,"max_tokens":204800,"pricing":{"prompt":{"origin_price_per_m":40000,"price_per_m":40000,"origin_price_per_m_decimal":"4","price_per_m_decimal":"4"},"completion":{"origin_price_per_m":160000,"price_per_m":160000,"origin_price_per_m_decimal":"16","price_per_m_decimal":"16"},"input_cache_read":{"origin_price_per_m":8000,"price_per_m":8000,"origin_price_per_m_decimal":"0.8","price_per_m_decimal":"0.8"}}}],"title":"zai-org/glm-4.7","description":"GLM-4.7是智谱AI最新推出的旗舰大模型，该版本聚焦三大核心升级：1）在复杂智能体任务流中展现出显著的性能提升，支持稳定可靠的多步骤推理与任务执行；2）具备更接近自然人类对话的交互体验，配合增强的前端设计感知能力；3）专为编程场景深度优化，在代码生成、调试及系统级架构设计方面实现技术突破。实际测试表明，该模型能自动处理包含56个关联步骤的CI/CD流水线编排任务，对话中断率较上代降低42%。","tags":[],"context_size":204800,"status":1,"display_name":"GLM 4.7","model_type":"chat","max_output_tokens":131072,"features":["function-calling","structured-outputs","reasoning","serverless"],"endpoints":["chat/completions","anthropic"],"input_modalities":["text"],"output_modalities":["text"]},{"created":1765370273,"id":"zai-org/autoglm-phone-9b-multilingual","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":2500,"output_token_price_per_m":10000,"pricing":{"prompt":{"origin_price_per_m":2500,"price_per_m":2500,"origin_price_per_m_decimal":"0.25","price_per_m_decimal":"0.25"},"completion":{"origin_price_per_m":10000,"price_per_m":10000,"origin_price_per_m_decimal":"1","price_per_m_decimal":"1"}},"is_tiered_billing":false,"title":"zai-org/autoglm-phone-9b-multilingual","description":"Phone Agent 手机智能助手\n\n基于AutoGLM框架开发，通过多模态感知理解手机屏幕内容，并自动执行操作完成任务。\n\n核心功能\n\n设备控制：通过ADB（安卓调试桥）操控设备\n屏幕理解：视觉语言模型实时解析界面元素\n智能规划：自动生成操作步骤并执行\n使用场景\n\n只需说出需求，例如：\"打开小红书搜索美食推荐\"，系统将自动：\n\n解析意图\n识别当前界面\n规划操作流程\n完成整个任务\n安全机制\n\n敏感操作确认提示\n遇到登录/验证码时自动转人工处理\n支持WiFi/网络远程ADB调试，方便远程控制","tags":[],"context_size":65536,"status":1,"display_name":"AutoGLM Phone 9B Multilingual","model_type":"chat","max_output_tokens":32000,"features":["serverless"],"endpoints":["chat/completions"],"input_modalities":["text","image"],"output_modalities":["text"]},{"created":1762481395,"id":"moonshotai/kimi-k2-thinking","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":40000,"output_token_price_per_m":160000,"pricing":{"prompt":{"origin_price_per_m":40000,"price_per_m":40000,"origin_price_per_m_decimal":"4","price_per_m_decimal":"4"},"completion":{"origin_price_per_m":160000,"price_per_m":160000,"origin_price_per_m_decimal":"16","price_per_m_decimal":"16"}},"is_tiered_billing":false,"title":"moonshotai/kimi-k2-thinking","description":"kimi-k2-thinking 模型是月之暗面提供的具有通用 Agentic 能力和推理能力的思考模型，它擅长深度推理，并可通过多步工具调用，帮助解决各类难题。","tags":[],"context_size":262144,"status":1,"display_name":"Kimi K2 Thinking","model_type":"chat","max_output_tokens":100352,"features":["function-calling","structured-outputs","reasoning","serverless"],"endpoints":["chat/completions","anthropic"],"input_modalities":["text"],"output_modalities":["text"]},{"created":1776757424,"id":"qwen/qwen3.6-35b-a3b","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":18000,"output_token_price_per_m":108000,"pricing":{"prompt":{"origin_price_per_m":18000,"price_per_m":18000,"origin_price_per_m_decimal":"1.8","price_per_m_decimal":"1.8"},"completion":{"origin_price_per_m":108000,"price_per_m":108000,"origin_price_per_m_decimal":"10.8","price_per_m_decimal":"10.8"}},"is_tiered_billing":false,"title":"qwen/qwen3.6-35b-a3b","description":"Qwen3.6系列35B-A3B原生视觉语言模型，基于混合架构设计，融合了线性注意力机制与稀疏混合专家模型，实现了更高的推理效率。模型效果相较3.5-35B-A3B显著提升了agentic coding能力、数学推理和代码推理能力、空间智能能力、物体定位与目标检测能力。","tags":[],"context_size":262144,"status":1,"display_name":"Qwen3.6 35B A3B","model_type":"chat","max_output_tokens":65536,"features":["serverless","function-calling","structured-outputs","reasoning"],"endpoints":["chat/completions"],"input_modalities":["text","image","video"],"output_modalities":["text"]},{"created":1765205060,"id":"zai-org/glm-4.6v","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":20000,"output_token_price_per_m":60000,"pricing":{"prompt":{"origin_price_per_m":20000,"price_per_m":20000,"origin_price_per_m_decimal":"2","price_per_m_decimal":"2"},"completion":{"origin_price_per_m":60000,"price_per_m":60000,"origin_price_per_m_decimal":"6","price_per_m_decimal":"6"},"input_cache_read":{"origin_price_per_m":4000,"price_per_m":4000,"origin_price_per_m_decimal":"0.4","price_per_m_decimal":"0.4"}},"is_tiered_billing":true,"tiered_billing_configs":[{"min_tokens":1,"max_tokens":32768,"pricing":{"prompt":{"origin_price_per_m":10000,"price_per_m":10000,"origin_price_per_m_decimal":"1","price_per_m_decimal":"1"},"completion":{"origin_price_per_m":30000,"price_per_m":30000,"origin_price_per_m_decimal":"3","price_per_m_decimal":"3"}}},{"min_tokens":32768,"max_tokens":131072,"pricing":{"prompt":{"origin_price_per_m":20000,"price_per_m":20000,"origin_price_per_m_decimal":"2","price_per_m_decimal":"2"},"completion":{"origin_price_per_m":60000,"price_per_m":60000,"origin_price_per_m_decimal":"6","price_per_m_decimal":"6"}}}],"title":"zai-org/glm-4.6v","description":"Zhipu 最新的视觉推理模型，在同等规模下视觉理解准确率达到了 SOTA 水平，原生支持工具调用，能够自动完成任务，支持 128K 超长上下文，并允许灵活开启或关闭思考功能。","tags":[],"context_size":131072,"status":1,"display_name":"GLM 4.6v","model_type":"chat","max_output_tokens":32768,"features":["function-calling","structured-outputs","reasoning","serverless"],"endpoints":["chat/completions","anthropic"],"input_modalities":["text","image","video"],"output_modalities":["text"]},{"created":1759220209,"id":"zai-org/glm-4.6","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":40000,"output_token_price_per_m":160000,"pricing":{"prompt":{"origin_price_per_m":40000,"price_per_m":40000,"origin_price_per_m_decimal":"4","price_per_m_decimal":"4"},"completion":{"origin_price_per_m":160000,"price_per_m":160000,"origin_price_per_m_decimal":"16","price_per_m_decimal":"16"},"input_cache_read":{"origin_price_per_m":8000,"price_per_m":8000,"origin_price_per_m_decimal":"0.8","price_per_m_decimal":"0.8"},"input_cache_write":{"origin_price_per_m":8000,"price_per_m":8000,"origin_price_per_m_decimal":"0.8","price_per_m_decimal":"0.8"}},"is_tiered_billing":false,"title":"zai-org/glm-4.6","description":"GLM-4.6 是智谱最新的旗舰模型，其总参数量 355B，激活参数 32B，上下文提升至 200K，8 大权威基准全面提升，稳居国产模型首位。在编程、推理、搜索、写作、智能体应用等核心能力均完成对 GLM-4.5 的超越。\n","tags":[],"context_size":204800,"status":1,"display_name":"GLM 4.6","model_type":"chat","max_output_tokens":131072,"features":["function-calling","structured-outputs","reasoning","serverless"],"endpoints":["chat/completions","anthropic"],"input_modalities":["text"],"output_modalities":["text"]},{"created":1757057023,"id":"moonshotai/kimi-k2-0905","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":40000,"output_token_price_per_m":160000,"pricing":{"prompt":{"origin_price_per_m":40000,"price_per_m":40000,"origin_price_per_m_decimal":"4","price_per_m_decimal":"4"},"completion":{"origin_price_per_m":160000,"price_per_m":160000,"origin_price_per_m_decimal":"16","price_per_m_decimal":"16"}},"is_tiered_billing":false,"title":"moonshotai/kimi-k2-0905","description":"Kimi K2 0905 是 Kimi K2 0711 的九月更新版本。它是由月之暗面（Moonshot AI）开发的大规模专家混合（MoE）语言模型，拥有1万亿总参数，每次前向传播激活320亿参数。该模型支持长上下文推理，最高可达25.6万tokens，相比之前的12.8万tokens有所扩展。\n此次更新改进了智能体编程能力，在各种框架中实现了更高准确性和更好的泛化性能，并增强了前端编程能力，在网页、3D及相关任务中提供更美观和实用的输出。Kimi K2 针对智能体能力进行了优化，包括高级工具使用、推理和代码合成。该模型在编程（LiveCodeBench、SWE-bench）、推理（ZebraLogic、GPQA）和工具使用（Tau2、AceBench）等基准测试中表现优异。该模型采用创新技术栈进行训练，结合了MuonClip优化器，确保大规模MoE训练的稳定性。","tags":[],"context_size":262144,"status":1,"display_name":"Kimi K2 Instruct 0905","model_type":"chat","max_output_tokens":100352,"features":["function-calling","structured-outputs","serverless"],"endpoints":["chat/completions","anthropic"],"input_modalities":["text"],"output_modalities":["text"]},{"created":1752263379,"id":"moonshotai/kimi-k2-instruct","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":40000,"output_token_price_per_m":160000,"pricing":{"prompt":{"origin_price_per_m":40000,"price_per_m":40000,"origin_price_per_m_decimal":"4","price_per_m_decimal":"4"},"completion":{"origin_price_per_m":160000,"price_per_m":160000,"origin_price_per_m_decimal":"16","price_per_m_decimal":"16"}},"is_tiered_billing":false,"title":"moonshotai/kimi-k2-instruct","description":"Kimi K2 是一种最先进的专家混合 （MoE） 语言模型，具有 320 亿个激活参数和 1 万亿个总参数。使用 Muon 优化器进行训练，Kimi K2 在前沿知识、推理和编码任务方面实现了卓越的性能，同时针对代理功能进行了精心优化，专为工具使用、推理和自主解决问题而设计。","tags":[],"context_size":131072,"status":1,"display_name":"Kimi K2 Instruct","model_type":"chat","max_output_tokens":100352,"features":["function-calling","serverless"],"endpoints":["chat/completions","anthropic"],"input_modalities":["text"],"output_modalities":["text"]},{"created":1754915492,"id":"zai-org/glm-4.5v","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":40000,"output_token_price_per_m":120000,"pricing":{"prompt":{"origin_price_per_m":40000,"price_per_m":40000,"origin_price_per_m_decimal":"4","price_per_m_decimal":"4"},"completion":{"origin_price_per_m":120000,"price_per_m":120000,"origin_price_per_m_decimal":"12","price_per_m_decimal":"12"},"input_cache_read":{"origin_price_per_m":8000,"price_per_m":8000,"origin_price_per_m_decimal":"0.8","price_per_m_decimal":"0.8"}},"is_tiered_billing":false,"title":"zai-org/glm-4.5v","description":"Z.ai推出的GLM-4.5V视觉推理模型树立了行业新标杆，在42项基准测试中均达到同规模开源模型的最高水平。该模型不仅擅长基准测试，更通过混合训练技术在真实场景中展现出卓越性能，具备全方位的视觉理解能力——包括图像/视频分析、图形界面交互、复杂文档处理以及精准的视觉元素定位等核心功能。\n在中国GeoGuessr地理定位挑战赛中，GLM-4.5V仅用16小时就超越了99%的人类选手（共21000人参与），一周内攀升至第66名。该模型基于GLM-4.5-Air基础架构开发，继承了GLM-4.1V-Thinking的技术路线，采用1060亿参数的混合专家（MoE）架构实现高效扩展。作为连接前沿AI研究与实际应用的桥梁，GLM-4.5V正在重新定义视觉智能的行业标准","tags":[],"context_size":65536,"status":1,"display_name":"GLM 4.5V","model_type":"chat","max_output_tokens":16384,"features":["function-calling","reasoning","serverless"],"endpoints":["chat/completions","completions"],"input_modalities":["text","video","image"],"output_modalities":["text"]},{"created":1750139479,"id":"minimaxai/minimax-m1-80k","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":40000,"output_token_price_per_m":160000,"pricing":{"prompt":{"origin_price_per_m":40000,"price_per_m":40000,"origin_price_per_m_decimal":"4","price_per_m_decimal":"4"},"completion":{"origin_price_per_m":160000,"price_per_m":160000,"origin_price_per_m_decimal":"16","price_per_m_decimal":"16"}},"is_tiered_billing":false,"title":"minimaxai/minimax-m1-80k","description":"MiniMax-M1世界上第一个开放权重、大规模混合注意力推理模型。MiniMax-M1 采用混合专家 （MoE） 架构，并结合闪电注意力机制。该模型总共包含 4560 亿个参数，每个令牌激活了 459 亿个参数。M1 模型原生支持 100 万个令牌的上下文长度，是 DeepSeek R1 上下文大小的 8 倍。同时MiniMax-M1  结合 CISPO 算法与混合注意力设计的高效强化学习训练，在长输入推理与真实软件工程场景中实现了业界领先的性能。","tags":[],"context_size":128000,"status":1,"display_name":"MiniMaxAI/MiniMax-M1-80k","model_type":"chat","max_output_tokens":40000,"features":["function-calling","reasoning","serverless"],"endpoints":["chat/completions"],"input_modalities":["text"],"output_modalities":["text"]},{"created":1782806105,"id":"qwen/qwen3.5-omni-flash","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":22000,"output_token_price_per_m":133000,"pricing":{"prompt":{"origin_price_per_m":22000,"price_per_m":22000,"origin_price_per_m_decimal":"2.2","price_per_m_decimal":"2.2"},"completion":{"origin_price_per_m":133000,"price_per_m":133000,"origin_price_per_m_decimal":"13.3","price_per_m_decimal":"13.3"},"multimodal_input":[{"modals":["audio"],"input_token_base_price":180000,"input_token_discount_price":180000},{"modals":["text"],"input_token_base_price":22000,"input_token_discount_price":22000},{"modals":["image"],"input_token_base_price":22000,"input_token_discount_price":22000},{"modals":["video"],"input_token_base_price":22000,"input_token_discount_price":22000},{"modals":["text","image","video"],"input_token_base_price":22000,"input_token_discount_price":22000}],"multimodal_output":[{"modals":["text"],"output_token_base_price":133000,"output_token_discount_price":133000},{"modals":["audio"],"output_token_base_price":720000,"output_token_discount_price":720000}]},"is_tiered_billing":false,"title":"qwen/qwen3.5-omni-flash","description":"Qwen3.5-Omni是Qwen最新一代全模态大模型，支持文本，图片，音频，音视频理解与交互。作为 Qwen3-Omni 的全面进化版本， 支持超过 10 小时的音频理解及超过 400 秒的 720P（1 FPS）音视频理解与对话，并进一步拓展语言范围，支持60+种语言音频输入，30+语言语音输出，并且具备强大的结构化音视频理解能力，广泛应用于文本创作、语音助手、多媒体分析等场景，提供自然流畅的多模态理解与交互体验。","tags":[],"context_size":262144,"status":1,"display_name":"Qwen3.5 Omni Flash","model_type":"chat","max_output_tokens":65536,"features":["serverless"],"endpoints":["chat/completions"],"input_modalities":["text","image","video","audio"],"output_modalities":["text","audio"]},{"created":1752056258,"id":"thudm/glm-4.1v-9b-thinking","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":2500,"output_token_price_per_m":10000,"pricing":{"prompt":{"origin_price_per_m":2500,"price_per_m":2500,"origin_price_per_m_decimal":"0.25","price_per_m_decimal":"0.25"},"completion":{"origin_price_per_m":10000,"price_per_m":10000,"origin_price_per_m_decimal":"1","price_per_m_decimal":"1"}},"is_tiered_billing":false,"title":"thudm/glm-4.1v-9b-thinking","description":"GLM-4.1V-9B-Thinking 是由智谱 AI 与清华大学 KEG 实验室联合发布的开源视觉语言模型（VLM），专为处理复杂的多模态认知任务设计。该模型是基于 GLM-4-9B-0414 基础模型，通过引入“思维链”（CoT）推理机制和采用强化学习策略，显著提升了跨模态的推理能力和稳定性。作为一个 9B 参数规模的轻量级模型，它在部署效率和性能之间取得了平衡，在 28 项权威评测基准中，有 18 项的表现持平甚至超越了 72B 参数规模的 Qwen-2.5-VL-72B。该模型不仅在图文理解、数学科学推理、视频理解等任务上表现卓越，还支持高达 4K 分辨率的图像和任意宽高比输入","tags":[],"context_size":65536,"status":1,"display_name":"GLM 4.1V 9B Thinking","model_type":"chat","max_output_tokens":32000,"features":["reasoning","serverless"],"endpoints":["chat/completions"],"input_modalities":["text","image"],"output_modalities":["text"]},{"created":1789642580,"id":"pprouter/auto","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":0,"output_token_price_per_m":0,"is_tiered_billing":false,"title":"pprouter/auto","description":"","tags":[],"context_size":1048576,"status":1,"display_name":"PPRouter Auto","model_type":"chat","max_output_tokens":393216,"features":["serverless","function-calling","structured-outputs","reasoning"],"endpoints":["chat/completions","anthropic","responses"],"input_modalities":["text","image"],"output_modalities":["text"]},{"created":1785831958,"id":"pprouter/fusion","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":0,"output_token_price_per_m":0,"is_tiered_billing":false,"title":"pprouter/fusion","description":"","tags":[],"context_size":1048576,"status":1,"display_name":"pprouter/fusion","model_type":"chat","max_output_tokens":393216,"features":["serverless","function-calling","structured-outputs","reasoning"],"endpoints":["chat/completions","anthropic","responses"],"input_modalities":["text"],"output_modalities":["text"]},{"created":1785401748,"id":"pprouter/mom","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":0,"output_token_price_per_m":0,"is_tiered_billing":false,"title":"pprouter/mom","description":"","tags":[],"context_size":1048576,"status":1,"display_name":"pprouter/mom","model_type":"chat","max_output_tokens":131072,"features":["serverless","function-calling","structured-outputs","reasoning"],"endpoints":["chat/completions"],"input_modalities":["text"],"output_modalities":["text"]},{"created":1776784876,"id":"elephant","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":0,"output_token_price_per_m":0,"is_tiered_billing":false,"title":"elephant","description":"","tags":[],"context_size":262144,"status":1,"display_name":"Ling 2.6 Flash","model_type":"chat","max_output_tokens":32768,"features":["serverless","function-calling","structured-outputs"],"endpoints":["chat/completions"],"input_modalities":["text"],"output_modalities":["text"]},{"created":1776413144,"id":"ai_infer_test_2","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":0,"output_token_price_per_m":0,"is_tiered_billing":false,"title":"ai_infer_test_2","description":"","tags":[],"context_size":200000,"status":1,"display_name":"ai_infer_test_2","model_type":"chat","max_output_tokens":200000,"features":["serverless","function-calling","structured-outputs"],"endpoints":["chat/completions"],"input_modalities":["text"],"output_modalities":["text"]},{"created":1776413120,"id":"ai_infer_test_3","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":0,"output_token_price_per_m":0,"is_tiered_billing":false,"title":"ai_infer_test_3","description":"","tags":[],"context_size":200000,"status":1,"display_name":"ai_infer_test_3","model_type":"chat","max_output_tokens":200000,"features":["serverless","function-calling","structured-outputs"],"endpoints":["chat/completions"],"input_modalities":["text"],"output_modalities":["text"]},{"created":1773821813,"id":"ppio-4b","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":2145,"output_token_price_per_m":2145,"pricing":{"prompt":{"origin_price_per_m":2145,"price_per_m":2145,"origin_price_per_m_decimal":"0.2145","price_per_m_decimal":"0.2145"},"completion":{"origin_price_per_m":2145,"price_per_m":2145,"origin_price_per_m_decimal":"0.2145","price_per_m_decimal":"0.2145"}},"is_tiered_billing":false,"title":"ppio-4b","description":"PPIO 4B 是由 PPIO 团队研发的4B级别大语言模型。\n双模式灵活切换：业内领先地实现了“思考模式”与“非思考模式”的有效融合，支持在对话中自由切换，从容应对不同复杂度的任务。\n同规模 SOTA 推理：硬核算力优化，逻辑推理能力稳居同等规模模型业界第一梯队。\n全方位能力进化：人类偏好对齐能力显著增强。在创意写作、角色扮演、多轮对话及指令遵循等核心场景中均有大幅提升，为您提供超预期的极佳用户体验。\n","tags":[],"context_size":128000,"status":1,"display_name":"PPIO 4B","model_type":"chat","max_output_tokens":8192,"features":["serverless"],"endpoints":["chat/completions"],"input_modalities":["text"],"output_modalities":["text"]},{"created":1769417258,"id":"baidu/ernie-5.0-thinking-exp","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":0,"output_token_price_per_m":0,"is_tiered_billing":true,"tiered_billing_configs":[{"min_tokens":1,"max_tokens":32000,"pricing":{"prompt":{"origin_price_per_m":60000,"price_per_m":60000,"origin_price_per_m_decimal":"6","price_per_m_decimal":"6"},"completion":{"origin_price_per_m":240000,"price_per_m":240000,"origin_price_per_m_decimal":"24","price_per_m_decimal":"24"}}},{"min_tokens":32000,"max_tokens":128000,"pricing":{"prompt":{"origin_price_per_m":100000,"price_per_m":100000,"origin_price_per_m_decimal":"10","price_per_m_decimal":"10"},"completion":{"origin_price_per_m":400000,"price_per_m":400000,"origin_price_per_m_decimal":"40","price_per_m_decimal":"40"}}}],"title":"baidu/ernie-5.0-thinking-exp","description":"文心新一代模型文心5.0是原生全模态大模型，采用原生的全模态统一建模技术，将文本、图像、音频、视频联合建模，具备综合的全模态能力。文心5.0基础能力全面升级，基准测试集表现出色，多模态理解、指令遵循、创意写作、事实性、智能体规划与工具应用等表现尤其出色。","tags":[],"context_size":183000,"status":1,"display_name":"Ernie 5.0 Thinking Exp","model_type":"chat","max_output_tokens":64000,"features":["serverless"],"endpoints":["chat/completions"],"input_modalities":["text","image"],"output_modalities":["text"]},{"created":1769416125,"id":"baidu/ernie-5.0-thinking-preview","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":0,"output_token_price_per_m":0,"is_tiered_billing":true,"tiered_billing_configs":[{"min_tokens":1,"max_tokens":32000,"pricing":{"prompt":{"origin_price_per_m":60000,"price_per_m":60000,"origin_price_per_m_decimal":"6","price_per_m_decimal":"6"},"completion":{"origin_price_per_m":240000,"price_per_m":240000,"origin_price_per_m_decimal":"24","price_per_m_decimal":"24"}}},{"min_tokens":32000,"max_tokens":128000,"pricing":{"prompt":{"origin_price_per_m":100000,"price_per_m":100000,"origin_price_per_m_decimal":"10","price_per_m_decimal":"10"},"completion":{"origin_price_per_m":400000,"price_per_m":400000,"origin_price_per_m_decimal":"40","price_per_m_decimal":"40"}}}],"title":"baidu/ernie-5.0-thinking-preview","description":"文心新一代模型文心5.0是原生全模态大模型，采用原生的全模态统一建模技术，将文本、图像、音频、视频联合建模，具备综合的全模态能力。文心5.0基础能力全面升级，基准测试集表现出色，多模态理解、指令遵循、创意写作、事实性、智能体规划与工具应用等表现尤其出色。","tags":[],"context_size":183000,"status":1,"display_name":"Ernie 5.0 Thinking Preview","model_type":"chat","max_output_tokens":64000,"features":["serverless","function-calling","reasoning"],"endpoints":["chat/completions"],"input_modalities":["text","image","video","audio"],"output_modalities":["text"]},{"created":1760428378,"id":"kwaipilot/kat-dev-72b-exp","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":0,"output_token_price_per_m":0,"is_tiered_billing":false,"title":"kwaipilot/kat-dev-72b-exp","description":"","tags":[],"context_size":131072,"status":1,"display_name":"KAT-Dev-72B-Exp","model_type":"chat","max_output_tokens":65536,"endpoints":["chat/completions"],"input_modalities":["text"],"output_modalities":["text"]},{"created":1760424157,"id":"zai-org/glm-4.5-air","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":12000,"output_token_price_per_m":20000,"pricing":{"prompt":{"origin_price_per_m":12000,"price_per_m":12000,"origin_price_per_m_decimal":"1.2","price_per_m_decimal":"1.2"},"completion":{"origin_price_per_m":20000,"price_per_m":20000,"origin_price_per_m_decimal":"2","price_per_m_decimal":"2"},"input_cache_read":{"origin_price_per_m":2400,"price_per_m":2400,"origin_price_per_m_decimal":"0.24","price_per_m_decimal":"0.24"}},"is_tiered_billing":false,"title":"zai-org/glm-4.5-air","description":"GLM-4.5-Air 是我们最新旗舰模型系列的轻量化版本，同时专为智能体（Agent）中心应用而设计。与 GLM-4.5 一样，它采用专家混合（Mixture-of-Experts，MoE）架构，但参数规模更加紧凑。\nGLM-4.5-Air 支持混合推理模式，提供两种工作模式：\n- 思考模式（Thinking Mode）：用于高级推理和工具调用；\n- 非思考模式（Non-Thinking Mode）：用于实时交互与快速响应。\n用户可以通过布尔参数 reasoning_enabled 来控制模型的推理行为","tags":[],"context_size":131072,"status":1,"display_name":"GLM 4.5 Air","model_type":"chat","max_output_tokens":98304,"features":["function-calling","structured-outputs","reasoning","serverless"],"endpoints":["chat/completions","anthropic"],"input_modalities":["text"],"output_modalities":["text"]},{"created":1758695277,"id":"qwen/qwen3-omni-30b-a3b-captioner","object":"model","owned_by":"ppio","permission":null,"root":"","parent":"","input_token_price_per_m":0,"output_token_price_per_m":0,"is_tiered_billing":false,"title":"qwen/qwen3-omni-30b-a3b-captioner","description":"","tags":[],"context_size":0,"status":1,"display_name":"qwen/qwen3-omni-30b-a3b-captioner","model_type":"chat","endpoints":["chat/completions"],"input_modalities":["text"],"output_modalities":["text"]}]}