Ali
Qwen3-Reranker-4B
ali/qwen3-reranker-4b/v1/rerankQwen3-Reranker-4B 是一款功能强大的文本重排模型，源自 Qwen3 系列，拥有 40 亿参数。 该模型旨在通过根据查询对初始文档列表进行重新排序，从而显著提升搜索结果的相关性。 它继承了其 Qwen3 基础模型的核心优势，包括对长文本（上下文长度高达 32k）的卓越理解能力以及对超过 100 种语言的强大支持。 基准测试结果表明，Qwen3-Reranker-4B 模型在各种文本和代码检索评测中表现出色
- Input / output modalities
- 文本 to 文本
- Reference input / output price
- Input¥0.14Output¥0per 1M tokens
- Context window
- 256K
- Added to catalog
- Aug 4, 2026
Providers and pricing
| Provider | Input /M | Output /M | Cached /M | Context | Max output | Details |
|---|---|---|---|---|---|---|
| siliconflow | ¥0.14 | ¥0 | ¥0 | 256K | 64K |
Qwen3-Reranker-4B 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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