# Qwen3.5 Small

> Compact multimodal language models from 0.8B to 9B parameters

Qwen3.5 Small is a series of open-weight language models (0.8B, 2B, 4B, 9B) with native multimodal capabilities and reinforcement learning improvements. The smaller variants (0.8B, 2B) target edge deployment, while the 4B and 9B models serve as lightweight agent bases competitive with larger models. Designed for developers needing efficient, deployable AI across constrained hardware environments.

## At a glance

- **Company**: Alibaba Cloud (Qwen)
- **Homepage**: https://www.producthunt.com/r/TGCQORIPHE5ZK7?utm_campaign=producthunt-api&amp;utm_medium=api-v2&amp;utm_source=Application%3A+claude+access+%28ID%3A+284460%29
- **Pricing**: free
- **API available**: Yes
- **Self-hostable**: Yes
- **Launched**: 2026-03
- **Last verified**: 2026-05-11

## Categories

- developer-platforms
- agents
- research


## Capabilities

- multimodal
- edge-deployment
- fine-tuning
- long-context
- open-weights
- rl-training


## Alternatives




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Source: https://inforelay.ai/tools/qwen3-5-small/
Index: https://inforelay.ai/llms.txt
