Model comparison
Claude 3.7 Sonnet vs Gemma 4 31B IT
Gemma 4 31B IT is the stronger model overall, scoring 43.2 to 39.4 on the Noometry Index.
Last verified . 19 shared benchmarks.
GoogleSummary
- They share 19 benchmarks with published results for both. Claude 3.7 Sonnet scores higher in 2 categories and Gemma 4 31B IT in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Gemma 4 31B IT leads 54.0 to 44.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 57.8% for Claude 3.7 Sonnet and 73.3% for Gemma 4 31B IT.
- Gemma 4 31B IT has downloadable open weights; the other is API-only.
Side by side
| Claude 3.7 Sonnet | Gemma 4 31B IT | |
|---|---|---|
| Provider | Anthropic | |
| Noometry Index | 39.4 | 43.2 |
| Released | 2025-02-24 | 2026-04-02 |
| Weights | Proprietary | Open |
| Context window | — | 262K |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.09 |
| Output $ / M tokens | — | $0.34 |
| Results tracked | 58 | 35 |
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Category by category
Coding Too close to call
Claude 3.7 Sonnet: 41.1 (#120), Gemma 4 31B IT: 41.9 (#98)
| Benchmark | Claude 3.7 Sonnet | Gemma 4 31B IT |
|---|---|---|
| LMArena Coding | 1361 | 1459 |
| SWE-bench Verified | 61% | — |
| SWE-bench Verified (bash only) | 52.8% | — |
| Aider Polyglot | 64.9% | — |
| LMArena WebDev | — | 1364 |
| SciCode | — | 43.4% |
| GSO | 3.8% | — |
| WeirdML | — | 52.3% |
| LiveBench Coding | 74.5% | — |
| CadEval | 54% | — |
| ALE-Bench | — | 925.5 |
Agentic & Tool Use Not comparable
Claude 3.7 Sonnet: 33.9 (#46), Gemma 4 31B IT: —
| Benchmark | Claude 3.7 Sonnet | Gemma 4 31B IT |
|---|---|---|
| TheAgentCompany | 30.9% | — |
| Cybench | 20% | — |
| DeepResearch Bench | 43.6% | — |
| OSWorld | 35.8% | — |
| METR Time Horizons | 60% | — |
Reasoning Gemma 4 31B IT leads
Claude 3.7 Sonnet: 18.7 (#252), Gemma 4 31B IT: 26.4 (#119)
| Benchmark | Claude 3.7 Sonnet | Gemma 4 31B IT |
|---|---|---|
| LMArena Hard Prompts | 1333 | 1448 |
| Epoch Capabilities Index | 141.16 | 142.74 |
| ARC-AGI-2 | 0.9% | — |
| SimpleBench | 46.4% | — |
| Kagi LLM Benchmark | — | 63.5% |
| NYT Connections (extended) | — | 70.6% |
| ARC-AGI-1 | 28.6% | — |
| CritPt | — | 1.4% |
| Chess Puzzles | — | 5% |
| EnigmaEval | 4.2% | — |
| Thematic Generalization | — | 53% |
| LiveBench Reasoning | 87.8% | — |
| DTBench | — | 82.7% |
| LiveBench Data Analysis | 74% | — |
| LMCA | — | 39.3% |
| Surface Evolver Bench | — | 30.6% |
| ForecastBench | 61.8 | — |
| LiveBench | 76.1% | — |
Math Gemma 4 31B IT leads
Claude 3.7 Sonnet: 35.7 (#137), Gemma 4 31B IT: 41.3 (#72)
| Benchmark | Claude 3.7 Sonnet | Gemma 4 31B IT |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | 73.3% |
| LMArena Math | 1336 | 1464 |
| Omni-MATH | 33% | — |
| LiveBench Math | 79% | — |
| MATH Level 5 | 91.2% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |
Knowledge Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 39.7 (#117), Gemma 4 31B IT: 37.9 (#141)
| Benchmark | Claude 3.7 Sonnet | Gemma 4 31B IT |
|---|---|---|
| GPQA Diamond | 79.7% | 75.8% |
| LMArena Expert | 1321 | 1465 |
| Humanity's Last Exam | 8% | — |
| SimpleQA Verified | — | 10.4% |
| MMLU-Pro | 78.4% | — |
| Confabulations | 14.7% | — |
| Vectara Hallucination Rate | — | 7.4% |
| GPQA (HELM) | 60.8% | — |
Multimodal Gemma 4 31B IT leads
Claude 3.7 Sonnet: 33.1 (#90), Gemma 4 31B IT: 41.0 (#32)
| Benchmark | Claude 3.7 Sonnet | Gemma 4 31B IT |
|---|---|---|
| LMArena Vision | 1169 | 1278 |
| GeoBench | 68% | — |
| VPCT | 39% | — |
| LMArena Document | — | 1425 |
| SpatialViz-Bench | 33.9% | — |
Multilingual Gemma 4 31B IT leads
Claude 3.7 Sonnet: 44.3 (#174), Gemma 4 31B IT: 54.0 (#52)
| Benchmark | Claude 3.7 Sonnet | Gemma 4 31B IT |
|---|---|---|
| LMArena Non-English | 1296 | 1431 |
| LMArena Chinese | 1299 | 1478 |
| LMArena French | 1302 | 1436 |
| LMArena Russian | 1311 | 1462 |
| LMArena Spanish | 1299 | 1443 |
| LMArena German | 1301 | — |
| LMArena Japanese | 1268 | — |
| LMArena Korean | 1249 | — |
Instruction Following Gemma 4 31B IT leads
Claude 3.7 Sonnet: 73.1 (#120), Gemma 4 31B IT: 75.6 (#58)
| Benchmark | Claude 3.7 Sonnet | Gemma 4 31B IT |
|---|---|---|
| LMArena Instruction Following | 1352 | 1433 |
| LiveBench Instruction Following | 81.3% | — |
| IFEval | 83.4% | — |
Long Context Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 50.2 (#10), Gemma 4 31B IT: 44.2 (#67)
| Benchmark | Claude 3.7 Sonnet | Gemma 4 31B IT |
|---|---|---|
| LMArena Longer Query | 1373 | 1446 |
| Fiction.LiveBench | 83.3% | — |
Writing & Preference Gemma 4 31B IT leads
Claude 3.7 Sonnet: 54.6 (#145), Gemma 4 31B IT: 60.7 (#92)
| Benchmark | Claude 3.7 Sonnet | Gemma 4 31B IT |
|---|---|---|
| LMArena Text | 1314 | 1443 |
| LMArena Creative Writing | 1332 | 1416 |
| EQ-Bench Creative Writing | 1412 | 1368 |
| LMArena Multi-Turn | 1339 | 1452 |
| Short-Story Creative Writing | 81.1% | — |
| WildBench | 81.4% | — |
| EQ-Bench 4 | — | 1120 |
| LiveBench Language | 59.9% | — |
Frequently asked questions
Is Claude 3.7 Sonnet better than Gemma 4 31B IT?
Gemma 4 31B IT is the stronger model overall, scoring 43.2 to 39.4 on the Noometry Index.
Is Claude 3.7 Sonnet or Gemma 4 31B IT better for coding?
They score almost the same on coding (41.1 vs 41.9); test both on your own repository before choosing.
How many benchmarks do Claude 3.7 Sonnet and Gemma 4 31B IT share?
19 benchmarks have published results for both models. Claude 3.7 Sonnet has 58 scored results on Noometry and Gemma 4 31B IT has 35.