Model comparison
Gemma 4 31B IT vs o1-pro
Gemma 4 31B IT is the stronger model overall, scoring 43.5 to 31.5 on the Noometry Index.
Last verified . 0 shared benchmarks.
GoogleSummary
- The widest gap is in knowledge, where Gemma 4 31B IT leads 37.9 to 29.7.
- Gemma 4 31B IT is cheaper at $0.09 / $0.34 per million input/output tokens, against $150 / $600 for o1-pro.
- Gemma 4 31B IT accepts more context: 262K tokens versus 200K.
- Gemma 4 31B IT has downloadable open weights; the other is API-only.
Side by side
| Gemma 4 31B IT | o1-pro | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 43.5 | 31.5 |
| Released | 2026-04-02 | 2025-03-19 |
| Weights | Open | Proprietary |
| Context window | 262K | 200K |
| Max output | 33K | 100K |
| Input $ / M tokens | $0.09 | $150 |
| Output $ / M tokens | $0.34 | $600 |
| Results tracked | 35 | 3 |
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Category by category
Coding Not comparable
Gemma 4 31B IT: 42.3 (#108), o1-pro: —
| Benchmark | Gemma 4 31B IT | o1-pro |
|---|---|---|
| LMArena WebDev | 1366 | — |
| SciCode | 43.4% | — |
| WeirdML | 52.3% | — |
| LMArena Coding | 1459 | — |
| ALE-Bench | 925.5 | — |
Reasoning Gemma 4 31B IT leads
Gemma 4 31B IT: 27.2 (#122), o1-pro: 20.4 (#239)
| Benchmark | Gemma 4 31B IT | o1-pro |
|---|---|---|
| Kagi LLM Benchmark | 63.5% | — |
| NYT Connections (extended) | 70.6% | — |
| ARC-AGI-1 | — | 23.3% |
| CritPt | 1.4% | — |
| Chess Puzzles | 5% | — |
| EnigmaEval | — | 6.1% |
| Thematic Generalization | 53% | — |
| LMArena Hard Prompts | 1448 | — |
| DTBench | 82.7% | — |
| LMCA | 39.3% | — |
| Surface Evolver Bench | 30.6% | — |
| Epoch Capabilities Index | 142.74 | — |
Math Not comparable
Gemma 4 31B IT: 43.2 (#81), o1-pro: —
| Benchmark | Gemma 4 31B IT | o1-pro |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 73.3% | — |
| LMArena Math | 1465 | — |
Knowledge Gemma 4 31B IT leads
Gemma 4 31B IT: 37.9 (#151), o1-pro: 29.7 (#234)
| Benchmark | Gemma 4 31B IT | o1-pro |
|---|---|---|
| GPQA Diamond | 75.8% | — |
| Humanity's Last Exam | — | 8.1% |
| SimpleQA Verified | 10.4% | — |
| Vectara Hallucination Rate | 7.4% | — |
| LMArena Expert | 1465 | — |
Multimodal Not comparable
Gemma 4 31B IT: 41.6 (#34), o1-pro: —
| Benchmark | Gemma 4 31B IT | o1-pro |
|---|---|---|
| LMArena Vision | 1277 | — |
| LMArena Document | 1425 | — |
Multilingual Not comparable
Gemma 4 31B IT: 53.8 (#57), o1-pro: —
| Benchmark | Gemma 4 31B IT | o1-pro |
|---|---|---|
| LMArena Non-English | 1431 | — |
| LMArena Chinese | 1476 | — |
| LMArena French | 1435 | — |
| LMArena Russian | 1460 | — |
| LMArena Spanish | 1444 | — |
Instruction Following Not comparable
Gemma 4 31B IT: 75.5 (#61), o1-pro: —
| Benchmark | Gemma 4 31B IT | o1-pro |
|---|---|---|
| LMArena Instruction Following | 1433 | — |
Long Context Not comparable
Gemma 4 31B IT: 44.2 (#71), o1-pro: —
| Benchmark | Gemma 4 31B IT | o1-pro |
|---|---|---|
| LMArena Longer Query | 1446 | — |
Writing & Preference Not comparable
Gemma 4 31B IT: 60.5 (#96), o1-pro: —
| Benchmark | Gemma 4 31B IT | o1-pro |
|---|---|---|
| LMArena Text | 1443 | — |
| LMArena Creative Writing | 1415 | — |
| EQ-Bench Creative Writing | 1368 | — |
| EQ-Bench 4 | 1120 | — |
| LMArena Multi-Turn | 1452 | — |
Frequently asked questions
Is Gemma 4 31B IT better than o1-pro?
Gemma 4 31B IT is the stronger model overall, scoring 43.5 to 31.5 on the Noometry Index.
Which is cheaper, Gemma 4 31B IT or o1-pro?
Gemma 4 31B IT is cheaper. It lists at $0.09 per million input tokens and $0.34 per million output tokens; o1-pro lists at $150 and $600.
Which has the bigger context window?
Gemma 4 31B IT does, with 262K tokens against 200K.
How many benchmarks do Gemma 4 31B IT and o1-pro share?
0 benchmarks have published results for both models. Gemma 4 31B IT has 35 scored results on Noometry and o1-pro has 3.