Maas-Model-platform/backend/parsed_json/qwen3-max.json

{
  "model_code": "qwen3-max",
  "model_intro": "通义千问3系列 Max 模型，相较 preview 版本在智能体编程与工具调用方面进行了专项升级。本次发布的正式版模型达到领域 SOTA 水平，适配场景更加复杂的智能体需求。",
  "model_tags": ["Qwen3", "文本生成"],
  "model_capabilities": {
    "input_modalities": ["text"],
    "output_modalities": ["text"],
    "features": {
      "model_experience": true,
      "function_calling": true,
      "structured_output": true,
      "web_search": true,
      "prefix_continuation": true,
      "cache": true,
      "batch_inference": true,
      "model_tuning": false
    }
  },
  "model_pricing": [
    {
      "input_range": "输入<=32K",
      "unit": "元/千tokens",
      "input": 0.0025,
      "input_cache_hit": 0.0005,
      "input_batch": 0.00125,
      "output": 0.01,
      "output_batch": 0.005,
      "explicit_cache_create": 0.003125,
      "explicit_cache_hit": 0.00025
    },
    {
      "input_range": "32K<输入<=128K",
      "unit": "元/千tokens",
      "input": 0.004,
      "input_cache_hit": 0.0008,
      "input_batch": 0.002,
      "output": 0.016,
      "output_batch": 0.008,
      "explicit_cache_create": 0.005,
      "explicit_cache_hit": 0.0004
    },
    {
      "input_range": "128K<输入<=256K",
      "unit": "元/千tokens",
      "input": 0.007,
      "input_cache_hit": 0.0014,
      "input_batch": 0.0035,
      "output": 0.028,
      "output_batch": 0.014,
      "explicit_cache_create": 0.00875,
      "explicit_cache_hit": 0.0007
    }
  ],
  "tool_call_pricing": [
    {
      "tool": "search_strategy:agent",
      "unit": "元/千次调用",
      "price": 4
    }
  ],
  "model_limits": {
    "max_input_length": "252K",
    "max_output_length": "64K",
    "rpm": 600,
    "tpm": 1000000,
    "context_length": "256K"
  },
  "api_examples": {
    "curl": [
      "curl -X POST https://dashscope.aliyuncs.com/compatible-mode/v1/chat/completions \\\n-H \"Authorization: Bearer $DASHSCOPE_API_KEY\" \\\n-H \"Content-Type: application/json\" \\\n-d '{\n    \"model\": \"qwen3-max\",\n    \"messages\": [\n        {\n            \"role\": \"system\",\n            \"content\": \"You are a helpful assistant.\"\n        },\n        {\n            \"role\": \"user\",\n            \"content\": \"你是谁？\"\n        }\n    ],\n    \"stream\": true\n}'"
    ]
  }
}