Model comparison
Gemma 7B vs GPT-5 Nano
GPT-5 Nano is the stronger model overall, scoring 33.4 to 29.5 on the Noometry Index.
Last verified . 13 shared benchmarks.
GoogleSummary
- They share 13 benchmarks with published results for both. Gemma 7B scores higher in 1 category and GPT-5 Nano in 7 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where GPT-5 Nano leads 75.2 to 51.7.
- Gemma 7B has downloadable open weights; the other is API-only.
Side by side
| Gemma 7B | GPT-5 Nano | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 29.5 | 33.4 |
| Released | 2024-02-21 | 2025-08-07 |
| Weights | Open | Proprietary |
| Context window | — | 400K |
| Max output | — | 128K |
| Input $ / M tokens | — | $0.05 |
| Output $ / M tokens | — | $0.40 |
| Results tracked | 27 | 48 |
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Category by category
Coding GPT-5 Nano leads
Gemma 7B: 29.9 (#290), GPT-5 Nano: 33.3 (#248)
| Benchmark | Gemma 7B | GPT-5 Nano |
|---|---|---|
| LMArena Coding | 1048 | 1351 |
| SWE-bench Verified (bash only) | — | 34.8% |
| WeirdML | — | 38.1% |
| ALE-Bench | — | 718.67 |
| HumanEval+ | 28.7% | — |
| MBPP+ | 43.4% | — |
Agentic & Tool Use Not comparable
Gemma 7B: —, GPT-5 Nano: 25.6 (#99)
| Benchmark | Gemma 7B | GPT-5 Nano |
|---|---|---|
| Terminal-Bench | — | 21.8% |
| Berkeley Function Calling Leaderboard | — | 51.5% |
Reasoning Gemma 7B leads
Gemma 7B: 19.0 (#247), GPT-5 Nano: 16.4 (#291)
| Benchmark | Gemma 7B | GPT-5 Nano |
|---|---|---|
| LMArena Hard Prompts | 1042 | 1329 |
| Epoch Capabilities Index | 111.74 | 139.39 |
| ARC-AGI-2 | — | 2.6% |
| Kagi LLM Benchmark | — | 62.2% |
| ARC-AGI-1 | — | 20.7% |
| Chess Puzzles | — | 27% |
| Mystery Game Puzzles | — | 9% |
| DTBench | — | 62.7% |
| LMCA | — | 7.9% |
| Adversarial NLI | 48.7% | — |
| BIG-Bench Hard | 55.1% | — |
| ForecastBench | — | 59.1 |
| HellaSwag | 82.2% | — |
| PIQA | 81.2% | — |
| WinoGrande | 79% | — |
Math Too close to call
Gemma 7B: 28.7 (#225), GPT-5 Nano: 29.1 (#221)
| Benchmark | Gemma 7B | GPT-5 Nano |
|---|---|---|
| LMArena Math | 1066 | 1318 |
| FrontierMath (Tiers 1-3) | — | 20% |
| FrontierMath Tier 4 | — | 2.4% |
| OTIS Mock AIME 2024-2025 | — | 81.1% |
| ProofBench | — | 12% |
| Omni-MATH | — | 54.6% |
| MATH Level 5 | — | 95.2% |
| FrontierMath (Feb 2025 set) | — | 8.3% |
| FrontierMath Tier 4 (v1) | — | 2.1% |
| GSM8K | 46.4% | — |
Knowledge GPT-5 Nano leads
Gemma 7B: 26.8 (#248), GPT-5 Nano: 35.8 (#166)
| Benchmark | Gemma 7B | GPT-5 Nano |
|---|---|---|
| LMArena Expert | 1002 | 1321 |
| GPQA Diamond | — | 69.4% |
| SimpleQA Verified | — | 11.7% |
| MMLU-Pro | — | 77.8% |
| Vectara Hallucination Rate | — | 10.5% |
| GPQA (HELM) | — | 67.9% |
| ARC (AI2) Challenge | 78.3% | — |
| BoolQ | 83.2% | — |
| MMLU | 66.1% | — |
| OpenBookQA | 78.6% | — |
| TriviaQA | 72.3% | — |
Multimodal Not comparable
Gemma 7B: —, GPT-5 Nano: 30.7 (#102)
| Benchmark | Gemma 7B | GPT-5 Nano |
|---|---|---|
| LMArena Vision | — | 1159 |
| VPCT | — | 37.2% |
Multilingual GPT-5 Nano leads
Gemma 7B: 25.3 (#282), GPT-5 Nano: 45.5 (#167)
| Benchmark | Gemma 7B | GPT-5 Nano |
|---|---|---|
| LMArena Non-English | 999 | 1313 |
| LMArena Chinese | 1035 | 1355 |
| LMArena Russian | 993 | 1296 |
| LMArena French | 1024 | — |
| LMArena German | — | 1329 |
| LMArena Korean | — | 1269 |
| LMArena Spanish | — | 1360 |
Instruction Following GPT-5 Nano leads
Gemma 7B: 51.7 (#290), GPT-5 Nano: 75.2 (#72)
| Benchmark | Gemma 7B | GPT-5 Nano |
|---|---|---|
| LMArena Instruction Following | 1017 | 1306 |
| IFEval | — | 93.2% |
Long Context Too close to call
Gemma 7B: 31.1 (#277), GPT-5 Nano: 31.3 (#275)
| Benchmark | Gemma 7B | GPT-5 Nano |
|---|---|---|
| LMArena Longer Query | 1022 | 1313 |
| Fiction.LiveBench | — | 44.4% |
Writing & Preference GPT-5 Nano leads
Gemma 7B: 27.2 (#297), GPT-5 Nano: 39.4 (#244)
| Benchmark | Gemma 7B | GPT-5 Nano |
|---|---|---|
| LMArena Text | 1056 | 1320 |
| LMArena Creative Writing | 1024 | 1250 |
| LMArena Multi-Turn | 963 | 1311 |
| EQ-Bench Creative Writing | — | 705 |
| WildBench | — | 80.6% |
Frequently asked questions
Is Gemma 7B better than GPT-5 Nano?
GPT-5 Nano is the stronger model overall, scoring 33.4 to 29.5 on the Noometry Index.
Is Gemma 7B or GPT-5 Nano better for coding?
GPT-5 Nano scores higher on coding benchmarks: 33.3 versus 29.9 in the Noometry coding category.
How many benchmarks do Gemma 7B and GPT-5 Nano share?
13 benchmarks have published results for both models. Gemma 7B has 27 scored results on Noometry and GPT-5 Nano has 48.