Ali
Qwen3-Reranker-0.6B
ali/qwen3-reranker-0.6b/v1/rerankQwen3-Reranker-0.6B 是一款来自 Qwen3 系列的文本重排模型。 它专为优化初始检索系统的结果而设计，其核心功能是根据给定查询对文档的相关性进行重新排序。 该模型拥有 6 亿参数和 32k 的上下文长度，并继承了其 Qwen3 基础模型强大的多语言（支持超过 100 种语言）、长文本理解及推理能力。评测结果显示，Qwen3-Reranker-0.6B 在 MTEB-R、CMTEB-R 和 MLDR 等多个文本检索基准测试中均取得了优异的性能
- Input / output modalities
- Not provided to Not provided
- Reference input / output price
- Input¥0.07Output¥0per 1M tokens
- Context window
- 1M
- Added to catalog
- Aug 3, 2026
Providers and pricing
| Provider | Input /M | Output /M | Cached /M | Context | Max output | Details |
|---|---|---|---|---|---|---|
| siliconflow | ¥0.07 | ¥0 | ¥0 | 1M | 64K |
Qwen3-Reranker-0.6B code examples and API guide
The upstream response does not declare a public API protocol that can be represented safely. Unknown protocols are not guessed.
Public model applications
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