{
  "model_code": "qwen3-rerank",
  "model_intro": "基于 Qwen LLM 底座训练的文本排序模型，对输入的 Query 和候选 Docs 进行相关性排序，支持 100+ 语种和长文本输入，适用于文本检索、RAG 等场景，效果对齐开源 Qwen3-Rerank 系列模型。",
  "model_tags": ["向量模型"],
  "model_capabilities": {
    "input_modalities": ["text"],
    "output_modalities": ["text"],
    "features": {
      "model_experience": false,
      "function_calling": false,
      "structured_output": false,
      "web_search": false,
      "prefix_continuation": false,
      "cache": false,
      "batch_inference": false,
      "model_tuning": false
    }
  },
  "model_pricing": {
    "unit": "元/千tokens",
    "input": 0.0005
  },
  "model_limits": {
    "max_input_length": "30K",
    "max_output_length": null,
    "rpm": 5400,
    "tpm": 5000000000,
    "context_length": "30K"
  },
  "api_examples": {
    "curl": [
      "curl --location 'https://dashscope.aliyuncs.com/api/v1/services/rerank/text-rerank/text-rerank' \\\n--header \"Authorization: Bearer $DASHSCOPE_API_KEY\" \\\n--header 'Content-Type: application/json' \\\n--data '{\n    \"model\": \"qwen3-rerank\",\n    \"input\":{\n         \"query\": \"什么是文本排序模型\",\n         \"documents\": [\n         \"文本排序模型广泛用于搜索引擎和推荐系统中，它们根据文本相关性对候选文本进行排序\",\n         \"量子计算是计算科学的一个前沿领域\",\n         \"预训练语言模型的发展给文本排序模型带来了新的进展\"\n         ]\n    },\n    \"parameters\": {\n        \"return_documents\": true,\n        \"top_n\": 5\n    }\n}'"
    ]
  }
}