Qwen: Qwen3 VL 32B Instruct: Qwen3-VL-32B-Instruct is a large-scale multimodal vision-language model designed for high-precision understanding and reasoning across text, images, and video. With 32 billion parameters, it combines deep visual perception with advanced text...
Pillar = mean of 1 scaled value = 28.1.
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-32b-instruct)
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| Benchmark | Score | Max | Captured |
|---|---|---|---|
| aa-intelligence-index | 8.40 | 100.00 | Sep 24, 2026 |
| aa-math-index | 68.30 | 100.00 | Sep 24, 2026 |
| aime-2025 | 68.33 | 100.00 | Sep 24, 2026 |
| gpqa-diamond | 67.10 | 100.00 | Sep 24, 2026 |
| hle | 6.80 | 100.00 | Sep 24, 2026 |
| ifbench | 39.18 | 100.00 | Sep 24, 2026 |
| livecodebench | 51.40 | 100.00 | Sep 24, 2026 |
| mmlu-pro |
| 79.10 |
| 100.00 |
| Sep 24, 2026 |
| tau2-bench-telecom | 29.24 | 100.00 | Sep 24, 2026 |
| terminal-bench-hard | 8.33 | 100.00 | Sep 24, 2026 |