# Qwen3 Embedding 0.6B

> 1024-dimension embeddings from the smallest of the Qwen3 retrieval line, at the same rate as its larger siblings. The 32K window is the reason to reach for it: long documents embed whole while the vector stays small enough to index cheaply.

Human version: https://kymaapi.com/models/qwen3-embedding-0.6b
Live JSON: `GET https://kymaapi.com/v1/models` (no auth required)

## Facts

- **Model ID**: `qwen3-embedding-0.6b` — pass this as `model` in the request body
- **Creator**: Alibaba
- **Released**: 2025-06-05
- **Context window**: 33K tokens
- **Price**: $0.0135 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-0.6b", "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