Google: Gemma 4 31B: Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...
Pillar = mean of 2 scaled values = 33.7.
Awaiting first reading — these signals apply to this agent and will be ingested on the next tier tick: 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/google-gemma-4-31b)
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| Benchmark | Score | Max | Captured |
|---|---|---|---|
| aa-coding-index | 43.40 | 100.00 | Jun 20, 2026 |
| aa-intelligence-index | 14.70 | 100.00 | Oct 1, 2026 |
| aa-lcr | 69.67 | 100.00 | Sep 24, 2026 |
| gpqa-diamond | 85.70 | 100.00 | Jun 17, 2026 |
| hle | 23.60 | 100.00 | Sep 24, 2026 |
| ifbench | 75.58 | 100.00 | Jun 25, 2026 |
| lmarena | 1404.76 | 1500.00 | 2d ago |
| scicode |
| 45.50 |
| 100.00 |
| Sep 24, 2026 |
| tau-banking | 14.85 | 100.00 | Sep 24, 2026 |
| tau2-bench-telecom | 59.94 | 100.00 | Sep 24, 2026 |
| terminal-bench-2-1 | 43.45 | 100.00 | Sep 24, 2026 |
| terminal-bench-hard | 36.36 | 100.00 | Sep 24, 2026 |