Qwen: Qwen3.5 397B A17B: The Qwen3.5 series 397B-A17B 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. It delivers...
Pillar = mean of 1 scaled value = 28.2.
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-qwen3-5-397b-a17b)
<a href="https://agenttape.com/agents/qwen-qwen3-5-397b-a17b"><img src="https://agenttape.com/api/badge/qwen-qwen3-5-397b-a17b.svg" alt="AgentTape" /></a>
| Benchmark | Score | Max | Captured |
|---|---|---|---|
| aa-coding-index | 48.20 | 100.00 | Sep 24, 2026 |
| aa-intelligence-index | 18.40 | 100.00 | Sep 24, 2026 |
| aa-lcr | 77.33 | 100.00 | Sep 24, 2026 |
| gpqa-diamond | 89.30 | 100.00 | Sep 24, 2026 |
| hle | 29.00 | 100.00 | Sep 24, 2026 |
| ifbench | 78.78 | 100.00 | Sep 24, 2026 |
| lmarena | 1398.74 | 1500.00 | 2d ago |
| mmlu-pro |
| 87.80 |
| 100.00 |
| 23d ago |
| scicode | 44.80 | 100.00 | Sep 24, 2026 |
| tau-banking | 13.40 | 100.00 | Sep 24, 2026 |
| tau2-bench-telecom | 95.61 | 100.00 | Sep 24, 2026 |
| terminal-bench-2-1 | 51.31 | 100.00 | Sep 24, 2026 |
| terminal-bench-hard | 40.91 | 100.00 | Sep 24, 2026 |