# Qwen3 Reranker 8B

> Scores how well each document answers a query, so a retriever's top 50 can be cut to the 5 worth sending to a model. Sits between search and synthesis: embeddings decide what to fetch, this decides what survives. A 40K window means whole documents can be judged without chunking.

Human version: https://kymaapi.com/models/qwen3-reranker-8b
Live JSON: `GET https://kymaapi.com/v1/models` (no auth required)

## Facts

- **Model ID**: `qwen3-reranker-8b` — pass this as `model` in the request body
- **Creator**: Alibaba
- **Released**: 2025-06-05
- **Context window**: 41K tokens
- **Price**: $0.135 in / $0.00 out per 1M, cached input 10%
- **Capabilities**: tools, caching

## Call it

```bash
curl https://kymaapi.com/v1/chat/completions \
  -H "Authorization: Bearer $KYMA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "qwen3-reranker-8b", "messages": [{"role": "user", "content": "Hello"}]}'
```

## See also

- All models: https://kymaapi.com/models.md
- Pricing: https://kymaapi.com/pricing.md
- Other models by Alibaba: https://kymaapi.com/models?q=Alibaba