# Qwen3 Embedding 4B

> 2560-dimension embeddings — the middle of the Qwen3 retrieval line. Recall lands between the 0.6B and the 8B, and so does the price. Use it when the 0.6B misses too much and the 8B's 4096-dimension vectors cost too much to store.

Human version: https://kymaapi.com/models/qwen3-embedding-4b
Live JSON: `GET https://kymaapi.com/v1/models` (no auth required)

## Facts

- **Model ID**: `qwen3-embedding-4b` — pass this as `model` in the request body
- **Creator**: Alibaba
- **Released**: 2025-06-05
- **Context window**: 33K tokens
- **Price**: $0.027 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-embedding-4b", "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