Model comparison
Gemini 3.1 Pro Preview vs o3-pro
Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 42.9 on the Noometry Index.
Last verified . 7 shared benchmarks.
GoogleSummary
- They share 7 benchmarks with published results for both. Gemini 3.1 Pro Preview scores higher in 3 categories and o3-pro in 2 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.1 Pro Preview leads 71.7 to 23.8.
- The biggest single-benchmark swing is ARC-AGI-2: 77.1% for Gemini 3.1 Pro Preview and 4.9% for o3-pro.
- Gemini 3.1 Pro Preview is cheaper at $2 / $12 per million input/output tokens, against $20 / $80 for o3-pro.
- Gemini 3.1 Pro Preview accepts more context: 1.05M tokens versus 200K.
Side by side
| Gemini 3.1 Pro Preview | o3-pro | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 56.7 | 42.9 |
| Released | 2026-02-19 | 2025-06-10 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 200K |
| Max output | 66K | 100K |
| Input $ / M tokens | $2 | $20 |
| Output $ / M tokens | $12 | $80 |
| Results tracked | 71 | 12 |
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Category by category
Coding o3-pro leads
Gemini 3.1 Pro Preview: 42.5 (#99), o3-pro: 55.5 (#24)
| Benchmark | Gemini 3.1 Pro Preview | o3-pro |
|---|---|---|
| WeirdML | 72.1% | 58.2% |
| SWE-bench Verified | 75.6% | — |
| DeepSWE | 11.7% | — |
| Aider Polyglot | — | 84.9% |
| LMArena WebDev | 1447 | — |
| SciCode | 58.9% | — |
| GSO | 22.6% | — |
| LMArena Coding | 1484 | — |
| MirrorCode | 8.9% | — |
| ALE-Bench | 1,161 | — |
| AlgoTune | 2.02 | — |
Agentic & Tool Use Not comparable
Gemini 3.1 Pro Preview: 37.7 (#34), o3-pro: —
| Benchmark | Gemini 3.1 Pro Preview | o3-pro |
|---|---|---|
| Terminal-Bench | 80.2% | — |
| APEX-Agents | 35.3% | — |
| τ²-bench Banking | 26% | — |
| DeepResearch Bench | 47.8% | — |
| PostTrainBench | 22% | — |
| BALROG | 57% | — |
| ExploitBench | 26.1% | — |
| GBAEval | 0.8% | — |
| GDP.pdf | 17% | — |
| LMArena Search | 1211 | — |
| METR Time Horizons | 77% | — |
| Vending-Bench 2 | 3,774 | — |
Reasoning Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 71.7 (#12), o3-pro: 23.8 (#171)
| Benchmark | Gemini 3.1 Pro Preview | o3-pro |
|---|---|---|
| ARC-AGI-2 | 77.1% | 4.9% |
| ARC-AGI-1 | 98% | 59.3% |
| DTBench | 97.1% | 86.9% |
| LMCA | 53.8% | 38.5% |
| Epoch Capabilities Index | 154.77 | 147.42 |
| SimpleBench | 79.6% | — |
| Kagi LLM Benchmark | — | 72.1% |
| NYT Connections (extended) | 97.4% | — |
| CritPt | 17.7% | — |
| Chess Puzzles | 55% | — |
| EnigmaEval | 36.8% | — |
| Thematic Generalization | 79.4% | — |
| EBR-Bench | 14.3% | — |
| LMArena Hard Prompts | 1485 | — |
| Mystery Game Puzzles | 34% | — |
| ForecastBench | 59 | — |
Math Not comparable
Gemini 3.1 Pro Preview: 62.1 (#34), o3-pro: —
| Benchmark | Gemini 3.1 Pro Preview | o3-pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | 59.6% | — |
| FrontierMath Tier 4 | 26.8% | — |
| MathArena Final-Answer Competitions | 86.5% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| ProofBench | 26% | — |
| LMArena Math | 1485 | — |
| FrontierMath (Feb 2025 set) | 36.9% | — |
| FrontierMath Tier 4 (v1) | 16.7% | — |
Knowledge Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 71.8 (#3), o3-pro: 29.5 (#238)
| Benchmark | Gemini 3.1 Pro Preview | o3-pro |
|---|---|---|
| Vectara Hallucination Rate | 10.4% | 23.3% |
| GPQA Diamond | 94.4% | — |
| Humanity's Last Exam | 46.4% | — |
| SimpleQA Verified | 73.5% | — |
| Confabulations | — | 14.2% |
| LMArena Expert | 1485 | — |
Multimodal Not comparable
Gemini 3.1 Pro Preview: 37.9 (#69), o3-pro: —
| Benchmark | Gemini 3.1 Pro Preview | o3-pro |
|---|---|---|
| LMArena Vision | 1296 | — |
| Blueprint-Bench 2 | 26.5% | — |
| Furniture Assembly | 26.7% | — |
| LMArena Document | 1444 | — |
Multilingual Not comparable
Gemini 3.1 Pro Preview: 57.0 (#12), o3-pro: —
| Benchmark | Gemini 3.1 Pro Preview | o3-pro |
|---|---|---|
| LMArena Non-English | 1477 | — |
| LMArena Chinese | 1529 | — |
| LMArena French | 1487 | — |
| LMArena German | 1491 | — |
| LMArena Japanese | 1493 | — |
| LMArena Korean | 1455 | — |
| LMArena Russian | 1498 | — |
| LMArena Spanish | 1479 | — |
Instruction Following Not comparable
Gemini 3.1 Pro Preview: 77.0 (#32), o3-pro: —
| Benchmark | Gemini 3.1 Pro Preview | o3-pro |
|---|---|---|
| LMArena Instruction Following | 1466 | — |
Long Context o3-pro leads
Gemini 3.1 Pro Preview: 47.4 (#18), o3-pro: 72.2 (#1)
| Benchmark | Gemini 3.1 Pro Preview | o3-pro |
|---|---|---|
| Fiction.LiveBench | — | 97.2% |
| CL-bench | 20.8% | — |
| CL-bench Life | 16.9% | — |
| LMArena Longer Query | 1483 | — |
Writing & Preference Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 66.1 (#37), o3-pro: 57.1 (#133)
| Benchmark | Gemini 3.1 Pro Preview | o3-pro |
|---|---|---|
| LMArena Text | 1481 | — |
| LMArena Creative Writing | 1482 | — |
| Short-Story Creative Writing | — | 84.4% |
| EQ-Bench Creative Writing | 1491 | — |
| EQ-Bench 4 | 1142 | — |
| LMArena Multi-Turn | 1488 | — |
Frequently asked questions
Is Gemini 3.1 Pro Preview better than o3-pro?
Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 42.9 on the Noometry Index.
Which is cheaper, Gemini 3.1 Pro Preview or o3-pro?
Gemini 3.1 Pro Preview is cheaper. It lists at $2 per million input tokens and $12 per million output tokens; o3-pro lists at $20 and $80.
Is Gemini 3.1 Pro Preview or o3-pro better for coding?
o3-pro scores higher on coding benchmarks: 55.5 versus 42.5 in the Noometry coding category.
Which has the bigger context window?
Gemini 3.1 Pro Preview does, with 1.05M tokens against 200K.
How many benchmarks do Gemini 3.1 Pro Preview and o3-pro share?
7 benchmarks have published results for both models. Gemini 3.1 Pro Preview has 71 scored results on Noometry and o3-pro has 12.