Qwen: Qwen3.5-122B-A10B: The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. In terms of...
Pillar = mean of 1 scaled value = 27.6.
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-qwen3-5-122b-a10b)
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| Benchmark | Score | Max | Captured |
|---|---|---|---|
| aa-coding-index | 45.70 | 100.00 | Sep 24, 2026 |
| aa-intelligence-index | 15.60 | 100.00 | Sep 24, 2026 |
| aa-lcr | 76.33 | 100.00 | Sep 24, 2026 |
| gpqa-diamond | 85.70 | 100.00 | Sep 24, 2026 |
| hle | 25.20 | 100.00 | Sep 24, 2026 |
| ifbench | 75.71 | 100.00 | Sep 24, 2026 |
| lmarena | 1366.17 | 1500.00 | 2d ago |
| mmlu-pro |
| 86.70 |
| 100.00 |
| 23d ago |
| mmmu | 29.00 | 100.00 | 3h ago |
| scicode | 39.70 | 100.00 | Sep 24, 2026 |
| tau-banking | 15.26 | 100.00 | Sep 24, 2026 |
| tau2-bench-telecom | 93.57 | 100.00 | Sep 24, 2026 |
| terminal-bench-2-1 | 47.57 | 100.00 | Sep 24, 2026 |
| terminal-bench-hard | 31.06 | 100.00 | Sep 24, 2026 |