Model comparison
Gemma 2 9B vs GPT-4.1 nano
GPT-4.1 nano is the stronger model overall, scoring 27.9 to 25.9 on the Noometry Index.
Last verified . 19 shared benchmarks.
Summary
- They share 19 benchmarks with published results for both. Gemma 2 9B scores higher in 3 categories and GPT-4.1 nano in 5 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-4.1 nano leads 26.9 to 9.9.
- The biggest single-benchmark swing is MATH Level 5: 21% for Gemma 2 9B and 70% for GPT-4.1 nano.
- Gemma 2 9B has downloadable open weights; the other is API-only.
Side by side
| Gemma 2 9B | GPT-4.1 nano | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 25.9 | 27.9 |
| Released | 2024-06-24 | 2025-04-14 |
| Weights | Open | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.40 |
| Results tracked | 35 | 38 |
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Category by category
Coding Gemma 2 9B leads
Gemma 2 9B: 29.4 (#304), GPT-4.1 nano: 24.1 (#330)
| Benchmark | Gemma 2 9B | GPT-4.1 nano |
|---|---|---|
| LMArena Coding | 1173 | 1306 |
| Aider Polyglot | — | 8.9% |
| SciCode | — | 25.9% |
| WeirdML | — | 19% |
| BigCodeBench Instruct | 34.7% | — |
| LiveBench Coding | 22.5% | — |
| BigCodeBench Complete | 40.6% | — |
Agentic & Tool Use Not comparable
Gemma 2 9B: —, GPT-4.1 nano: 26.5 (#104)
| Benchmark | Gemma 2 9B | GPT-4.1 nano |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 33% |
Reasoning Gemma 2 9B leads
Gemma 2 9B: 15.9 (#309), GPT-4.1 nano: 8.5 (#349)
| Benchmark | Gemma 2 9B | GPT-4.1 nano |
|---|---|---|
| LMArena Hard Prompts | 1171 | 1286 |
| Epoch Capabilities Index | 119.83 | 129.62 |
| ARC-AGI-2 | — | 0% |
| Kagi LLM Benchmark | — | 33.3% |
| ARC-AGI-1 | — | 0% |
| CritPt | — | 0% |
| LiveBench Reasoning | 15.2% | — |
| DTBench | — | 52.5% |
| LiveBench Data Analysis | 36.4% | — |
| LMCA | — | 5.5% |
| LiveBench | 28.7% | — |
| PIQA | 83.7% | — |
Math GPT-4.1 nano leads
Gemma 2 9B: 9.9 (#318), GPT-4.1 nano: 26.9 (#252)
| Benchmark | Gemma 2 9B | GPT-4.1 nano |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.6% | 28.9% |
| LMArena Math | 1183 | 1274 |
| MATH Level 5 | 21% | 70% |
| Omni-MATH | — | 36.7% |
| LiveBench Math | 19.8% | — |
| FrontierMath (Feb 2025 set) | — | 1% |
| GSM8K | 84.9% | — |
Knowledge GPT-4.1 nano leads
Gemma 2 9B: 9.7 (#305), GPT-4.1 nano: 21.8 (#273)
| Benchmark | Gemma 2 9B | GPT-4.1 nano |
|---|---|---|
| GPQA Diamond | 27.5% | 48.9% |
| LMArena Expert | 1147 | 1272 |
| SimpleQA Verified | — | 6% |
| MMLU-Pro | — | 55% |
| GPQA (HELM) | — | 50.7% |
| BoolQ | 85.7% | — |
| MMLU | 72.1% | — |
Multimodal Not comparable
Gemma 2 9B: —, GPT-4.1 nano: 29.2 (#113)
| Benchmark | Gemma 2 9B | GPT-4.1 nano |
|---|---|---|
| LMArena Vision | — | 1063 |
Multilingual GPT-4.1 nano leads
Gemma 2 9B: 36.6 (#238), GPT-4.1 nano: 41.6 (#205)
| Benchmark | Gemma 2 9B | GPT-4.1 nano |
|---|---|---|
| LMArena Non-English | 1188 | 1260 |
| LMArena Chinese | 1185 | 1270 |
| LMArena German | 1186 | 1288 |
| LMArena Japanese | 1144 | 1198 |
| LMArena Russian | 1200 | 1261 |
| LMArena French | 1190 | — |
| LMArena Korean | 1137 | — |
| LMArena Spanish | 1200 | — |
Instruction Following GPT-4.1 nano leads
Gemma 2 9B: 57.6 (#269), GPT-4.1 nano: 67.8 (#193)
| Benchmark | Gemma 2 9B | GPT-4.1 nano |
|---|---|---|
| LMArena Instruction Following | 1178 | 1267 |
| LiveBench Instruction Following | 52.6% | — |
| IFEval | — | 84.3% |
Long Context Gemma 2 9B leads
Gemma 2 9B: 36.3 (#233), GPT-4.1 nano: 23.7 (#296)
| Benchmark | Gemma 2 9B | GPT-4.1 nano |
|---|---|---|
| LMArena Longer Query | 1197 | 1283 |
| Fiction.LiveBench | — | 25% |
Writing & Preference GPT-4.1 nano leads
Gemma 2 9B: 32.1 (#281), GPT-4.1 nano: 40.5 (#243)
| Benchmark | Gemma 2 9B | GPT-4.1 nano |
|---|---|---|
| LMArena Text | 1207 | 1285 |
| LMArena Creative Writing | 1206 | 1260 |
| EQ-Bench Creative Writing | 841 | 946 |
| LMArena Multi-Turn | 1193 | 1277 |
| WildBench | — | 81.2% |
| LiveBench Language | 25.5% | — |
Frequently asked questions
Is Gemma 2 9B better than GPT-4.1 nano?
GPT-4.1 nano is the stronger model overall, scoring 27.9 to 25.9 on the Noometry Index.
Is Gemma 2 9B or GPT-4.1 nano better for coding?
Gemma 2 9B scores higher on coding benchmarks: 29.4 versus 24.1 in the Noometry coding category.
How many benchmarks do Gemma 2 9B and GPT-4.1 nano share?
19 benchmarks have published results for both models. Gemma 2 9B has 35 scored results on Noometry and GPT-4.1 nano has 38.