Model comparison
Gemma 2B vs GPT-4.1 nano
Gemma 2B is the stronger model overall, scoring 29.1 to 27.7 on the Noometry Index.
Last verified . 12 shared benchmarks.
Summary
- They share 12 benchmarks with published results for both. Gemma 2B scores higher in 4 categories and GPT-4.1 nano in 3 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where GPT-4.1 nano leads 68.0 to 48.8.
- Gemma 2B has downloadable open weights; the other is API-only.
Side by side
| Gemma 2B | GPT-4.1 nano | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 29.1 | 27.7 |
| Released | 2024-02-21 | 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 | 23 | 38 |
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Category by category
Coding Gemma 2B leads
Gemma 2B: 28.9 (#300), GPT-4.1 nano: 23.8 (#325)
| Benchmark | Gemma 2B | GPT-4.1 nano |
|---|---|---|
| LMArena Coding | 1010 | 1306 |
| Aider Polyglot | — | 8.9% |
| SciCode | — | 25.9% |
| WeirdML | — | 19% |
| HumanEval+ | 20.7% | — |
| MBPP+ | 34.1% | — |
Agentic & Tool Use Not comparable
Gemma 2B: —, GPT-4.1 nano: 26.3 (#98)
| Benchmark | Gemma 2B | GPT-4.1 nano |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 33% |
Reasoning Gemma 2B leads
Gemma 2B: 17.9 (#275), GPT-4.1 nano: 8.6 (#344)
| Benchmark | Gemma 2B | GPT-4.1 nano |
|---|---|---|
| LMArena Hard Prompts | 989 | 1286 |
| Epoch Capabilities Index | 93.57 | 129.62 |
| ARC-AGI-2 | — | 0% |
| Kagi LLM Benchmark | — | 33.3% |
| ARC-AGI-1 | — | 0% |
| CritPt | — | 0% |
| DTBench | — | 52.5% |
| LMCA | — | 5.5% |
| BIG-Bench Hard | 35.2% | — |
| HellaSwag | 71.4% | — |
| PIQA | 77.3% | — |
| WinoGrande | 65.4% | — |
Math Gemma 2B leads
Gemma 2B: 27.6 (#237), GPT-4.1 nano: 25.5 (#246)
| Benchmark | Gemma 2B | GPT-4.1 nano |
|---|---|---|
| LMArena Math | 1009 | 1274 |
| OTIS Mock AIME 2024-2025 | — | 28.9% |
| Omni-MATH | — | 36.7% |
| MATH Level 5 | — | 70% |
| FrontierMath (Feb 2025 set) | — | 1% |
| GSM8K | 17.7% | — |
Knowledge Not comparable
Gemma 2B: —, GPT-4.1 nano: 21.8 (#268)
| Benchmark | Gemma 2B | GPT-4.1 nano |
|---|---|---|
| GPQA Diamond | — | 48.9% |
| SimpleQA Verified | — | 6% |
| MMLU-Pro | — | 55% |
| GPQA (HELM) | — | 50.7% |
| LMArena Expert | — | 1272 |
| ARC (AI2) Challenge | 42.1% | — |
| BoolQ | 69.4% | — |
| MMLU | 42.3% | — |
| TriviaQA | 53.2% | — |
Multimodal Not comparable
Gemma 2B: —, GPT-4.1 nano: 28.6 (#108)
| Benchmark | Gemma 2B | GPT-4.1 nano |
|---|---|---|
| LMArena Vision | — | 1063 |
Multilingual GPT-4.1 nano leads
Gemma 2B: 23.1 (#289), GPT-4.1 nano: 41.8 (#200)
| Benchmark | Gemma 2B | GPT-4.1 nano |
|---|---|---|
| LMArena Non-English | 958 | 1260 |
| LMArena Chinese | 986 | 1270 |
| LMArena Russian | 937 | 1261 |
| LMArena German | — | 1288 |
| LMArena Japanese | — | 1199 |
Instruction Following GPT-4.1 nano leads
Gemma 2B: 48.8 (#297), GPT-4.1 nano: 68.0 (#188)
| Benchmark | Gemma 2B | GPT-4.1 nano |
|---|---|---|
| LMArena Instruction Following | 971 | 1267 |
| IFEval | — | 84.3% |
Long Context Gemma 2B leads
Gemma 2B: 29.9 (#286), GPT-4.1 nano: 23.7 (#291)
| Benchmark | Gemma 2B | GPT-4.1 nano |
|---|---|---|
| LMArena Longer Query | 981 | 1283 |
| Fiction.LiveBench | — | 25% |
Writing & Preference GPT-4.1 nano leads
Gemma 2B: 24.1 (#303), GPT-4.1 nano: 40.7 (#238)
| Benchmark | Gemma 2B | GPT-4.1 nano |
|---|---|---|
| LMArena Text | 1002 | 1285 |
| LMArena Creative Writing | 986 | 1260 |
| LMArena Multi-Turn | 945 | 1277 |
| EQ-Bench Creative Writing | — | 946 |
| WildBench | — | 81.2% |
Frequently asked questions
Is Gemma 2B better than GPT-4.1 nano?
Gemma 2B is the stronger model overall, scoring 29.1 to 27.7 on the Noometry Index.
Is Gemma 2B or GPT-4.1 nano better for coding?
Gemma 2B scores higher on coding benchmarks: 28.9 versus 23.8 in the Noometry coding category.
How many benchmarks do Gemma 2B and GPT-4.1 nano share?
12 benchmarks have published results for both models. Gemma 2B has 23 scored results on Noometry and GPT-4.1 nano has 38.