QwenLM/Qwen3-VL
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
The project lists 47 contributors on GitHub.
Peaked at #5 in the weekly ranking the week of Oct 12, its best in the past year.
Use Cases & Benefits
- Delivers a powerful multimodal large language model integrating advanced vision and language understanding with extended context and video comprehension.
- Offers superior spatial, temporal, and multimodal reasoning with flexible deployment from edge to cloud using Dense and MoE architectures.
- Use for building AI agents that operate PC and mobile GUIs by recognizing elements, invoking tools, and completing tasks.
- Use for extracting and parsing complex document layouts and multilingual OCR in natural scenes with robust key information extraction.
- Use for analyzing and understanding long videos and images with fine-grained spatial grounding and 3D object localization.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
Watch-outs
- No commits in the last six months (last push Jan 2026).
- No GitHub releases; pin a commit or tag instead of a release.
General guidance from repository metadata, not legal advice. How we score
From the README
🖥️ Demo   |   💬 WeChat (微信)   |   🫨 Discord   |   📑 API   |   🖥️ PAI-DSW
Meet Qwen3-VL — the most powerful vision-language model in the Qwen series to date.
This generation delivers comprehensive upgrades across the board: superior text understanding & generation, deeper visual perception & reasoning, extended context length, enhanced spatial and video dynamics comprehension, and stronger agent interaction capabilities.
Available in Dense and MoE architectures that scale from edge to cloud, with Instruct and reasoning‑enhanced Thinking editions for flexible, on‑demand deployment.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
1.9K+51
Open issues
441+19
Compared with peers in LLM
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| thedotmack/claude-mem | 113.6K | +8.8K | 35 | today |
| NVIDIA/auto-ontology | 7.5K | +5.6K | 37 | — |
| HKUDS/DeepTutor | 55.5K | +5.5K | 65 | 5 days ago |
| affaan-m/ECC | 297.9K | +5.2K | 63 | 35 days ago |
| DietrichGebert/ponytail | 185.3K | +5.1K | 60 | 7 days ago |
| QwenLM/Qwen3-VL | 20.2K | — | 33 | — |
| Category median | 113.6K | +5.5K | 60 | — |
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