Ali

Qwen3-Reranker-8B

ali/qwen3-reranker-8b
/v1/rerank

Qwen3-Reranker-8B是阿里巴巴通义实验室于2025年6月开源的80亿参数重排序模型,支持119种语言和32K超长文本处理。在中文检索(CMTEB-R 77.45分)、多语言检索(MTEB-R 69.02分)和代码检索(MTEB-Code 81.22分)任务中均刷新行业纪录,性能超越BGE等主流模型30%以上‌。 其创新单塔交叉编码器架构和指令感知能力,可显著提升检索增强生成(RAG)系统的精度与效率‌。

Input / output modalities
Not provided to Not provided
Reference input / output price
Input¥0.5Output¥0per 1M tokens
Context window
1M
Added to catalog
Aug 3, 2026

Providers and pricing

ProviderInput /MOutput /MCached /MContextMax outputDetails
Other-A-Ali¥0.5¥0¥01M64K

Other-A-Ali

Latency
0s
Throughput
0 tokens/s
Context
1M

Pricing

Input
¥0.5/M tokens
Output
¥0/M tokens
Cached
¥0/M tokens

Specifications

Context
1M
Max output
64K
Supported APIs
/v1/rerank

Qwen3-Reranker-8B 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.

No public applications are currently listed for this model.

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