Model card
Gemma 4 31B.
GoogleLarge language model
Added from Papers with Code MMLU-Pro refresh on 2026-05-19.
§ 02 · Benchmarks
Every benchmark Gemma 4 31B has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | MMMU-Pro | Multimodal · Visual Question Answering | accuracy | 76.9% | #7 | — | source ↗ |
| 02 | LiveCodeBench | Computer Code · Code Generation | pass-1 | 80.0% | #11 | — | source ↗ |
| 03 | HLE | Reasoning · Multi-step Reasoning | accuracy | 26.5% | #21 | — | source ↗ |
| 04 | GPQA Diamond | Reasoning · Multi-step Reasoning | accuracy | 84.3% | #23 | — | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 03 · Strengths by area
Where Gemma 4 31B actually performs.
§ 04 · Papers
1 paper with results for Gemma 4 31B.
- 2026-04-02· 4 results
Gemma 4: Byte for byte, the most capable open models
§ 05 · Related models
Other Google models scored on Codesota.
§ 06 · Sources & freshness
Where these numbers come from.
pwc-dump
4
results
0 of 4 rows marked verified.