All tasks / Models
Gemma 4 (31B)
Google DeepMind's open-weights Gemma line under Apache 2.0; Gemma 4 spans small on-device sizes up to a dense 31B.
- Google DeepMind
- Open weights
- Released 2 Apr 2026
Where it ranks
- AChat & assistantsModels · Local · 1,452 on LMArena Text Arena (overall, style control)
- BWritingModels · Local · 1,419 on LMArena Text Arena: Creative Writing (style control)
- –Documents & OCRModels · Local · no result on this task’s benchmarks yet
- CCodingModels · Local · 1,368 on LMArena WebDev / Code Arena (overall)
- AImage understandingModels · Local · 1,262 on LMArena Vision Arena (overall, style control)
Facts
- Vendor
- Google DeepMind
- Family
- Gemma
- Released
- 2 Apr 2026
- Weights
- Open: download and run it yourself
- License
- Apache-2.0
- Parameters
- 30.7B
- GPU memory to run locally
- ~19 GB (31B dense: 4-bit ≈ 30.7 B × 0.57 GB + 1.5 GB ≈ 19 GB, estimate; Google publishes QAT q4_0 checkpoints. 26B-A4B MoE sibling also exists.)
- API price
- $0.14 in / $0.4 out per 1M tokens
- Access
- Free (open weights)
- Last verified
- 18 Oct 2026
Price from openrouter.ai, 18 Oct 2026.
Benchmark results
| Benchmark | Result | Entry on the leaderboard | As of | Source |
|---|---|---|---|---|
| Artificial Analysis Intelligence Index | 15 | Gemma 4 31B (Reasoning)Raw value from the page's embedded model data; the site displays it rounded to an integer. | 18 Oct 2026 | artificialanalysis.ai |
| Artificial Analysis MMMU-Pro (independent evaluation) | 73.4% | Gemma 4 31B (Reasoning)Raw fraction 0.7341 from the model data embedded in https://artificialanalysis.ai/leaderboards/models, converted to percent; rank 58 of 124 entries with an MMMU-Pro result; no last-updated date shown. | 19 Oct 2026 | artificialanalysis.ai |
| EQ-Bench Creative Writing v3 | 1,368 | google/gemma-4-31B-itElo score from the leaderboard data embedded in https://eqbench.com/creative_writing.js (file last modified 2026-09-24); rank 85 of 140; rubric score 16.01. | 24 Sep 2026 | eqbench.com |
| LMArena Text Arena (overall, style control) | 1,452 | gemma-4-31bFrom LMArena's official leaderboard-dataset (text_style_control, split latest, category overall, published 2026-10-15), which mirrors https://arena.ai/leaderboard/text (site blocks automated fetches). | 15 Oct 2026 | huggingface.co |
| LMArena Text Arena: Creative Writing (style control) | 1,419 | gemma-4-31bFrom LMArena's official leaderboard-dataset (text_style_control, split latest, category creative_writing, published 2026-10-15), which mirrors https://arena.ai/leaderboard/text/creative-writing (site blocks automated fetches). Rank 86 of 414; 974 votes; 95% CI 1400.0-1437.6. | 15 Oct 2026 | huggingface.co |
| LMArena Vision Arena (overall, style control) | 1,262 | gemma-4-31bFrom LMArena's official leaderboard-dataset (vision_style_control, split latest, category overall, published 2026-10-09), which mirrors https://arena.ai/leaderboard/vision (site blocks automated fetches). Rank 44 of 165; 39669 votes; 95% CI 1256.3-1267.9. | 9 Oct 2026 | huggingface.co |
| LMArena WebDev / Code Arena (overall) | 1,368 | Gemma 4 31BFrom LMArena's official leaderboard-dataset (webdev = Code Arena, split latest, category overall, published 2026-10-18), which mirrors https://arena.ai/leaderboard/webdev. Rank 107; 14592 votes; 95% CI 1361.7-1374.2. | 18 Oct 2026 | huggingface.co |
| ParseBench (models) | 62.4% | Gemma-4-31B-itOverall (mean of tables, charts, content faithfulness, semantic formatting, visual grounding) from leaderboard.csv in the ParseBench repo (last leaderboard commit 2026-10-09). | 9 Oct 2026 | github.com |
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Earlier versions
- Gemma 3 · 12 Mar 2025
Compare
Sources
- https://huggingface.co/google/gemma-4-31B-it
- https://ai.google.dev/gemini-api/docs/changelog
- https://huggingface.co/datasets/lmarena-ai/leaderboard-dataset
- https://artificialanalysis.ai/leaderboards/models
- https://arena.ai/leaderboard/vision
- https://arena.ai/leaderboard/text/creative-writing
- https://eqbench.com/creative_writing.html
- https://github.com/run-llama/ParseBench
- https://artificialanalysis.ai/evaluations/mmmu-pro