Model comparison
Gemma 4 31B IT vs GPT-4o mini
Gemma 4 31B IT is the stronger model overall, scoring 43.5 to 25.5 on the Noometry Index.
Last verified . 25 shared benchmarks.
GoogleSummary
- They share 25 benchmarks with published results for both. Gemma 4 31B IT scores higher in 9 categories and GPT-4o mini in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemma 4 31B IT leads 43.2 to 10.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 73.3% for Gemma 4 31B IT and 6.9% for GPT-4o mini.
- Gemma 4 31B IT is cheaper at $0.09 / $0.34 per million input/output tokens, against $0.15 / $0.60 for GPT-4o mini.
- Gemma 4 31B IT accepts more context: 262K tokens versus 128K.
- Gemma 4 31B IT has downloadable open weights; the other is API-only.
Side by side
| Gemma 4 31B IT | GPT-4o mini | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 43.5 | 25.5 |
| Released | 2026-04-02 | 2024-07-18 |
| Weights | Open | Proprietary |
| Context window | 262K | 128K |
| Max output | 33K | 16K |
| Input $ / M tokens | $0.09 | $0.15 |
| Output $ / M tokens | $0.34 | $0.60 |
| Results tracked | 35 | 60 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Gemma 4 31B IT leads
Gemma 4 31B IT: 42.3 (#108), GPT-4o mini: 22.0 (#335)
| Benchmark | Gemma 4 31B IT | GPT-4o mini |
|---|---|---|
| WeirdML | 52.3% | 11.8% |
| LMArena Coding | 1459 | 1290 |
| Aider Polyglot | — | 3.6% |
| LMArena WebDev | 1366 | — |
| SciCode | 43.4% | — |
| BigCodeBench Instruct | — | 46.1% |
| LiveBench Coding | — | 43.1% |
| BigCodeBench Complete | — | 57.4% |
| ALE-Bench | 925.5 | — |
| HumanEval+ | — | 83.5% |
| MBPP+ | — | 72.2% |
Agentic & Tool Use Not comparable
Gemma 4 31B IT: —, GPT-4o mini: 27.5 (#101)
| Benchmark | Gemma 4 31B IT | GPT-4o mini |
|---|---|---|
| BALROG | — | 17.4% |
Reasoning Gemma 4 31B IT leads
Gemma 4 31B IT: 27.2 (#122), GPT-4o mini: 8.7 (#347)
| Benchmark | Gemma 4 31B IT | GPT-4o mini |
|---|---|---|
| Kagi LLM Benchmark | 63.5% | 28.8% |
| Chess Puzzles | 5% | 0% |
| LMArena Hard Prompts | 1448 | 1267 |
| DTBench | 82.7% | 54.4% |
| LMCA | 39.3% | 10.4% |
| Epoch Capabilities Index | 142.74 | 126.56 |
| ARC-AGI-2 | — | 0% |
| SimpleBench | — | 10.7% |
| NYT Connections (extended) | 70.6% | — |
| CritPt | 1.4% | — |
| Thematic Generalization | 53% | — |
| LiveBench Reasoning | — | 32.8% |
| Mystery Game Puzzles | — | 12% |
| LiveBench Data Analysis | — | 50% |
| Surface Evolver Bench | 30.6% | — |
| LiveBench | — | 41.3% |
| PIQA | — | 88.7% |
Math Gemma 4 31B IT leads
Gemma 4 31B IT: 43.2 (#81), GPT-4o mini: 10.4 (#314)
| Benchmark | Gemma 4 31B IT | GPT-4o mini |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 73.3% | 6.9% |
| LMArena Math | 1465 | 1267 |
| FrontierMath (Tiers 1-3) | — | 0.7% |
| Omni-MATH | — | 28% |
| LiveBench Math | — | 36.3% |
| MATH Level 5 | — | 52.6% |
| GSM8K | — | 91.3% |
Knowledge Gemma 4 31B IT leads
Gemma 4 31B IT: 37.9 (#151), GPT-4o mini: 17.7 (#284)
| Benchmark | Gemma 4 31B IT | GPT-4o mini |
|---|---|---|
| GPQA Diamond | 75.8% | 37.7% |
| SimpleQA Verified | 10.4% | 8.3% |
| LMArena Expert | 1465 | 1235 |
| MMLU-Pro | — | 60.3% |
| Confabulations | — | 37.2% |
| Vectara Hallucination Rate | 7.4% | — |
| GPQA (HELM) | — | 36.8% |
| BoolQ | — | 88.7% |
| MMLU | — | 81.8% |
Multimodal Gemma 4 31B IT leads
Gemma 4 31B IT: 41.6 (#34), GPT-4o mini: 25.9 (#122)
| Benchmark | Gemma 4 31B IT | GPT-4o mini |
|---|---|---|
| LMArena Vision | 1277 | 1066 |
| Video-MME | — | 64.8% |
| GeoBench | — | 64% |
| VPCT | — | 34% |
| LMArena Document | 1425 | — |
Multilingual Gemma 4 31B IT leads
Gemma 4 31B IT: 53.8 (#57), GPT-4o mini: 42.0 (#199)
| Benchmark | Gemma 4 31B IT | GPT-4o mini |
|---|---|---|
| LMArena Non-English | 1431 | 1266 |
| LMArena Chinese | 1476 | 1265 |
| LMArena French | 1435 | 1297 |
| LMArena Russian | 1460 | 1275 |
| LMArena Spanish | 1444 | 1276 |
| LMArena German | — | 1272 |
| LMArena Japanese | — | 1216 |
| LMArena Korean | — | 1195 |
Instruction Following Gemma 4 31B IT leads
Gemma 4 31B IT: 75.5 (#61), GPT-4o mini: 61.9 (#239)
| Benchmark | Gemma 4 31B IT | GPT-4o mini |
|---|---|---|
| LMArena Instruction Following | 1433 | 1258 |
| LiveBench Instruction Following | — | 56.8% |
| IFEval | — | 78.2% |
Long Context Gemma 4 31B IT leads
Gemma 4 31B IT: 44.2 (#71), GPT-4o mini: 39.1 (#186)
| Benchmark | Gemma 4 31B IT | GPT-4o mini |
|---|---|---|
| LMArena Longer Query | 1446 | 1289 |
Writing & Preference Gemma 4 31B IT leads
Gemma 4 31B IT: 60.5 (#96), GPT-4o mini: 39.5 (#248)
| Benchmark | Gemma 4 31B IT | GPT-4o mini |
|---|---|---|
| LMArena Text | 1443 | 1286 |
| LMArena Creative Writing | 1415 | 1268 |
| EQ-Bench Creative Writing | 1368 | 873 |
| LMArena Multi-Turn | 1452 | 1285 |
| Short-Story Creative Writing | — | 67.2% |
| WildBench | — | 79.1% |
| EQ-Bench 4 | 1120 | — |
| LiveBench Language | — | 28.6% |
Frequently asked questions
Is Gemma 4 31B IT better than GPT-4o mini?
Gemma 4 31B IT is the stronger model overall, scoring 43.5 to 25.5 on the Noometry Index.
Which is cheaper, Gemma 4 31B IT or GPT-4o mini?
Gemma 4 31B IT is cheaper. It lists at $0.09 per million input tokens and $0.34 per million output tokens; GPT-4o mini lists at $0.15 and $0.60.
Is Gemma 4 31B IT or GPT-4o mini better for coding?
Gemma 4 31B IT scores higher on coding benchmarks: 42.3 versus 22.0 in the Noometry coding category.
Which has the bigger context window?
Gemma 4 31B IT does, with 262K tokens against 128K.
How many benchmarks do Gemma 4 31B IT and GPT-4o mini share?
25 benchmarks have published results for both models. Gemma 4 31B IT has 35 scored results on Noometry and GPT-4o mini has 60.