Model comparison
Gemma 2B vs o3-pro
o3-pro is the stronger model overall, scoring 42.7 to 29.1 on the Noometry Index.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both. Gemma 2B scores higher in 0 categories and o3-pro in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in long context, where o3-pro leads 72.1 to 29.9.
- Gemma 2B has downloadable open weights; the other is API-only.
Side by side
| Gemma 2B | o3-pro | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 29.1 | 42.7 |
| 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 | 23 | 12 |
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Category by category
Coding o3-pro leads
Gemma 2B: 28.9 (#300), o3-pro: 55.1 (#22)
| Benchmark | Gemma 2B | o3-pro |
|---|---|---|
| Aider Polyglot | — | 84.9% |
| WeirdML | — | 58.2% |
| LMArena Coding | 1010 | — |
| HumanEval+ | 20.7% | — |
| MBPP+ | 34.1% | — |
Reasoning o3-pro leads
Gemma 2B: 17.9 (#275), o3-pro: 24.1 (#152)
| Benchmark | Gemma 2B | o3-pro |
|---|---|---|
| Epoch Capabilities Index | 93.57 | 147.43 |
| ARC-AGI-2 | — | 4.9% |
| Kagi LLM Benchmark | — | 72.1% |
| ARC-AGI-1 | — | 59.3% |
| LMArena Hard Prompts | 989 | — |
| DTBench | — | 86.9% |
| LMCA | — | 38.5% |
| BIG-Bench Hard | 35.2% | — |
| HellaSwag | 71.4% | — |
| PIQA | 77.3% | — |
| WinoGrande | 65.4% | — |
Math Not comparable
Gemma 2B: 27.6 (#237), o3-pro: —
| Benchmark | Gemma 2B | o3-pro |
|---|---|---|
| LMArena Math | 1009 | — |
| GSM8K | 17.7% | — |
Knowledge Not comparable
Gemma 2B: —, o3-pro: 29.0 (#234)
| Benchmark | Gemma 2B | o3-pro |
|---|---|---|
| Confabulations | — | 14.2% |
| Vectara Hallucination Rate | — | 23.3% |
| ARC (AI2) Challenge | 42.1% | — |
| BoolQ | 69.4% | — |
| MMLU | 42.3% | — |
| TriviaQA | 53.2% | — |
Multilingual Not comparable
Gemma 2B: 23.1 (#289), o3-pro: —
| Benchmark | Gemma 2B | o3-pro |
|---|---|---|
| LMArena Non-English | 958 | — |
| LMArena Chinese | 986 | — |
| LMArena Russian | 937 | — |
Instruction Following Not comparable
Gemma 2B: 48.8 (#297), o3-pro: —
| Benchmark | Gemma 2B | o3-pro |
|---|---|---|
| LMArena Instruction Following | 971 | — |
Long Context o3-pro leads
Gemma 2B: 29.9 (#286), o3-pro: 72.1 (#1)
| Benchmark | Gemma 2B | o3-pro |
|---|---|---|
| Fiction.LiveBench | — | 97.2% |
| LMArena Longer Query | 981 | — |
Writing & Preference o3-pro leads
Gemma 2B: 24.1 (#303), o3-pro: 57.1 (#128)
| Benchmark | Gemma 2B | o3-pro |
|---|---|---|
| LMArena Text | 1002 | — |
| LMArena Creative Writing | 986 | — |
| Short-Story Creative Writing | — | 84.4% |
| LMArena Multi-Turn | 945 | — |
Frequently asked questions
Is Gemma 2B better than o3-pro?
o3-pro is the stronger model overall, scoring 42.7 to 29.1 on the Noometry Index.
Is Gemma 2B or o3-pro better for coding?
o3-pro scores higher on coding benchmarks: 55.1 versus 28.9 in the Noometry coding category.
How many benchmarks do Gemma 2B and o3-pro share?
1 benchmark has published results for both models. Gemma 2B has 23 scored results on Noometry and o3-pro has 12.