Qwen: Qwen2.5 VL 72B Instruct: Qwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. It is also highly capable of analyzing texts, charts, icons, graphics, and layouts within images.
No signals on file for this pillar yet — it contributes 0 to the headline. The headline is a flat weighted sum, so a missing pillar costs its full weight (no redistribution).
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), OpenRouter tokens (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-qwen2-5-vl-72b-instruct)
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| Benchmark | Score | Max | Captured |
|---|---|---|---|
| mmmu | 70.20 | 100.00 | 14h ago |