Model comparison
Gemma 7B vs o3-pro
o3-pro is the stronger model overall, scoring 42.9 to 30.0 on the Noometry Index.
Last verified . 1 shared benchmarks.
GoogleSummary
- They share 1 benchmark with published results for both. Gemma 7B scores higher in 0 categories and o3-pro in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in long context, where o3-pro leads 72.2 to 31.1.
- Gemma 7B has downloadable open weights; the other is API-only.
Side by side
| Gemma 7B | o3-pro | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 30.0 | 42.9 |
| Released | 2024-02-21 | 2025-06-10 |
| Weights | Open | Proprietary |
| Context window | — | 200K |
| Max output | — | 100K |
| Input $ / M tokens | — | $20 |
| Output $ / M tokens | — | $80 |
| Results tracked | 27 | 12 |
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Category by category
Coding o3-pro leads
Gemma 7B: 30.5 (#294), o3-pro: 55.5 (#24)
| Benchmark | Gemma 7B | o3-pro |
|---|---|---|
| Aider Polyglot | — | 84.9% |
| WeirdML | — | 58.2% |
| LMArena Coding | 1048 | — |
| HumanEval+ | 28.7% | — |
| MBPP+ | 43.4% | — |
Reasoning o3-pro leads
Gemma 7B: 19.9 (#249), o3-pro: 23.8 (#171)
| Benchmark | Gemma 7B | o3-pro |
|---|---|---|
| Epoch Capabilities Index | 111.99 | 147.42 |
| ARC-AGI-2 | — | 4.9% |
| Kagi LLM Benchmark | — | 72.1% |
| ARC-AGI-1 | — | 59.3% |
| LMArena Hard Prompts | 1042 | — |
| DTBench | — | 86.9% |
| LMCA | — | 38.5% |
| Adversarial NLI | 48.7% | — |
| BIG-Bench Hard | 55.1% | — |
| HellaSwag | 82.2% | — |
| PIQA | 81.2% | — |
| WinoGrande | 79% | — |
Math Not comparable
Gemma 7B: 31.2 (#228), o3-pro: —
| Benchmark | Gemma 7B | o3-pro |
|---|---|---|
| LMArena Math | 1066 | — |
| GSM8K | 46.4% | — |
Knowledge o3-pro leads
Gemma 7B: 27.3 (#252), o3-pro: 29.5 (#238)
| Benchmark | Gemma 7B | o3-pro |
|---|---|---|
| Confabulations | — | 14.2% |
| Vectara Hallucination Rate | — | 23.3% |
| LMArena Expert | 1001 | — |
| ARC (AI2) Challenge | 78.3% | — |
| BoolQ | 83.2% | — |
| MMLU | 66.1% | — |
| OpenBookQA | 78.6% | — |
| TriviaQA | 72.3% | — |
Multilingual Not comparable
Gemma 7B: 25.1 (#287), o3-pro: —
| Benchmark | Gemma 7B | o3-pro |
|---|---|---|
| LMArena Non-English | 999 | — |
| LMArena Chinese | 1035 | — |
| LMArena French | 1025 | — |
| LMArena Russian | 993 | — |
Instruction Following Not comparable
Gemma 7B: 51.5 (#295), o3-pro: —
| Benchmark | Gemma 7B | o3-pro |
|---|---|---|
| LMArena Instruction Following | 1017 | — |
Long Context o3-pro leads
Gemma 7B: 31.1 (#282), o3-pro: 72.2 (#1)
| Benchmark | Gemma 7B | o3-pro |
|---|---|---|
| Fiction.LiveBench | — | 97.2% |
| LMArena Longer Query | 1022 | — |
Writing & Preference o3-pro leads
Gemma 7B: 27.1 (#302), o3-pro: 57.1 (#133)
| Benchmark | Gemma 7B | o3-pro |
|---|---|---|
| LMArena Text | 1056 | — |
| LMArena Creative Writing | 1024 | — |
| Short-Story Creative Writing | — | 84.4% |
| LMArena Multi-Turn | 963 | — |
Frequently asked questions
Is Gemma 7B better than o3-pro?
o3-pro is the stronger model overall, scoring 42.9 to 30.0 on the Noometry Index.
Is Gemma 7B or o3-pro better for coding?
o3-pro scores higher on coding benchmarks: 55.5 versus 30.5 in the Noometry coding category.
How many benchmarks do Gemma 7B and o3-pro share?
1 benchmark has published results for both models. Gemma 7B has 27 scored results on Noometry and o3-pro has 12.