Qwen: Qwen3 VL 235B A22B Instruct: Qwen3-VL-235B-A22B Instruct is an open-weight multimodal model that unifies strong text generation with visual understanding across images and video. The Instruct model targets general vision-language use (VQA, document parsing, chart/table...
Pillar = mean of 1 scaled value = 26.8.
Awaiting first reading — these signals apply to this agent and will be ingested on the next tier tick: HN mentions (7d), Reddit mentions (7d), Bluesky mentions (7d), Mastodon mentions (7d), Wikipedia views (30d), GitHub repos using this model, Tech-news mentions (30d)
Not applicable — this agent doesn't have the prerequisite (no GitHub repo, no HF mirror, etc.) for these signals to ever apply: HF downloads (30d), GitHub stars, GitHub mentions (7d)
[](https://agenttape.com/agents/qwen-qwen3-vl-235b-a22b-instruct)
<a href="https://agenttape.com/agents/qwen-qwen3-vl-235b-a22b-instruct"><img src="https://agenttape.com/api/badge/qwen-qwen3-vl-235b-a22b-instruct.svg" alt="AgentTape" /></a>
| Benchmark | Score | Max | Captured |
|---|---|---|---|
| aa-intelligence-index | 9.90 | 100.00 | Sep 24, 2026 |
| aa-lcr | 32.67 | 100.00 | Sep 24, 2026 |
| aa-math-index | 70.70 | 100.00 | Sep 24, 2026 |
| aime-2025 | 70.67 | 100.00 | Sep 24, 2026 |
| gpqa-diamond | 71.20 | 100.00 | Sep 24, 2026 |
| hle | 6.60 | 100.00 | Sep 24, 2026 |
| ifbench | 42.65 | 100.00 | Sep 24, 2026 |
| livecodebench |
| 59.40 |
| 100.00 |
| Sep 24, 2026 |
| lmarena | 1368.24 | 1500.00 | 2d ago |
| mmlu-pro | 82.30 | 100.00 | Sep 24, 2026 |
| tau2-bench-telecom | 35.09 | 100.00 | Sep 24, 2026 |
| terminal-bench-hard | 6.82 | 100.00 | Sep 24, 2026 |