Qwen3.5: Difference between revisions
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'''Qwen3.5''' is an open-weight and native vision-language model series developed by Alibaba and released on February 15, 2026.<ref name="qwen3.5-blog">[https://qwen.ai/blog?id=qwen3.5 Qwen3.5: Towards Native Multimodal Agents]. Qwen Team, February 2026.</ref> | '''Qwen3.5''' is an open-weight and native vision-language model series developed by Alibaba and released on February 15, 2026.<ref name="qwen3.5-blog">[https://qwen.ai/blog?id=qwen3.5 Qwen3.5: Towards Native Multimodal Agents]. Qwen Team, February 2026.</ref> It is build on a hybrid architecture using linear attention with [[Gated Delta Networks]] as well as sparse [[Mixture of Experts]]. | ||
== References == | == References == | ||
<references /> | <references /> | ||
Revision as of 08:14, 7 April 2026
| Qwen 3.5 | |
|---|---|
| Developer | Alibaba Cloud |
| Release Date | February 15, 2026 |
| Model Sizes | 0.8B, 2B, 4B, 9B, 27B (dense), 35B-A3B (MoE), 122B-A10B (MoE), 397B-A17B (MoE) |
| Architecture | Decoder-only Transformer |
| Modality | Image-Text-to-Text |
| Thinking | Yes (toggleable) |
| Context Length | 262,144 (up to 1M via API) |
| License | Apache 2.0 |
| Languages | 201 languages and dialects |
| Hugging Face | Qwen 3.5 |
| Paper | Link |
Qwen3.5 is an open-weight and native vision-language model series developed by Alibaba and released on February 15, 2026.[1] It is build on a hybrid architecture using linear attention with Gated Delta Networks as well as sparse Mixture of Experts.
References
- ↑ Qwen3.5: Towards Native Multimodal Agents. Qwen Team, February 2026.