Model comparison
Gemini 2.5 Pro vs o3-pro
Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 42.9 on the Noometry Index.
Last verified . 12 shared benchmarks.
GoogleSummary
- They share 12 benchmarks with published results for both. Gemini 2.5 Pro scores higher in 3 categories and o3-pro in 2 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemini 2.5 Pro leads 56.0 to 29.5.
- The biggest single-benchmark swing is ARC-AGI-1: 41% for Gemini 2.5 Pro and 59.3% for o3-pro.
- Gemini 2.5 Pro is cheaper at $1.25 / $10 per million input/output tokens, against $20 / $80 for o3-pro.
- Gemini 2.5 Pro accepts more context: 1.05M tokens versus 200K.
Side by side
| Gemini 2.5 Pro | o3-pro | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 45.0 | 42.9 |
| Released | 2025-03-25 | 2025-06-10 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 200K |
| Max output | 66K | 100K |
| Input $ / M tokens | $1.25 | $20 |
| Output $ / M tokens | $10 | $80 |
| Results tracked | 78 | 12 |
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Category by category
Coding o3-pro leads
Gemini 2.5 Pro: 42.4 (#101), o3-pro: 55.5 (#24)
| Benchmark | Gemini 2.5 Pro | o3-pro |
|---|---|---|
| Aider Polyglot | 83.1% | 84.9% |
| WeirdML | 54% | 58.2% |
| SWE-bench Verified | 57.6% | — |
| SWE-bench Verified (bash only) | 53.6% | — |
| LMArena WebDev | 1227 | — |
| SciCode | 42.8% | — |
| GSO | 3.9% | — |
| LiveBench Coding | 85.9% | — |
| LMArena Coding | 1452 | — |
| CadEval | 64% | — |
| ALE-Bench | 785.52 | — |
| AlgoTune | 1.51 | — |
Agentic & Tool Use Not comparable
Gemini 2.5 Pro: 29.2 (#88), o3-pro: —
| Benchmark | Gemini 2.5 Pro | o3-pro |
|---|---|---|
| Terminal-Bench | 32.6% | — |
| GDPval | 23.3% | — |
| Remote Labor Index | 0.8% | — |
| TheAgentCompany | 30.3% | — |
| τ²-bench Banking | 13.7% | — |
| DeepResearch Bench | 42.8% | — |
| BALROG | 43.3% | — |
| LMArena Search | 1142 | — |
| METR Time Horizons | 55.4% | — |
| Vending-Bench 2 | 573.64 | — |
Reasoning Gemini 2.5 Pro leads
Gemini 2.5 Pro: 28.8 (#99), o3-pro: 23.8 (#171)
| Benchmark | Gemini 2.5 Pro | o3-pro |
|---|---|---|
| ARC-AGI-2 | 4.9% | 4.9% |
| Kagi LLM Benchmark | 70.3% | 72.1% |
| ARC-AGI-1 | 41% | 59.3% |
| DTBench | 82.4% | 86.9% |
| LMCA | 34.8% | 38.5% |
| Epoch Capabilities Index | 145.32 | 147.42 |
| SimpleBench | 62.4% | — |
| CritPt | 2% | — |
| Chess Puzzles | 20% | — |
| EnigmaEval | 5.6% | — |
| LiveBench Reasoning | 89.8% | — |
| LMArena Hard Prompts | 1455 | — |
| LiveBench Data Analysis | 79.9% | — |
| ForecastBench | 61.3 | — |
| LiveBench | 82.3% | — |
Math Not comparable
Gemini 2.5 Pro: 32.5 (#213), o3-pro: —
| Benchmark | Gemini 2.5 Pro | o3-pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | 24.6% | — |
| FrontierMath Tier 4 | 0% | — |
| OTIS Mock AIME 2024-2025 | 84.7% | — |
| Omni-MATH | 41.6% | — |
| LiveBench Math | 90.2% | — |
| LMArena Math | 1450 | — |
| MATH Level 5 | 95.9% | — |
| FrontierMath (Feb 2025 set) | 14.1% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Gemini 2.5 Pro leads
Gemini 2.5 Pro: 56.0 (#46), o3-pro: 29.5 (#238)
| Benchmark | Gemini 2.5 Pro | o3-pro |
|---|---|---|
| Confabulations | 10.6% | 14.2% |
| Vectara Hallucination Rate | 7% | 23.3% |
| GPQA Diamond | 85.3% | — |
| Humanity's Last Exam | 21.6% | — |
| MMLU-Pro | 86.3% | — |
| GPQA (HELM) | 74.9% | — |
| LMArena Expert | 1452 | — |
Multimodal Not comparable
Gemini 2.5 Pro: 45.2 (#18), o3-pro: —
| Benchmark | Gemini 2.5 Pro | o3-pro |
|---|---|---|
| LMArena Vision | 1263 | — |
| GeoBench | 86% | — |
| VPCT | 48% | — |
| LMArena Document | 1421 | — |
| SpatialViz-Bench | 44.7% | — |
Multilingual Not comparable
Gemini 2.5 Pro: 55.3 (#31), o3-pro: —
| Benchmark | Gemini 2.5 Pro | o3-pro |
|---|---|---|
| LMArena Non-English | 1451 | — |
| LMArena Chinese | 1507 | — |
| LMArena French | 1472 | — |
| LMArena German | 1487 | — |
| LMArena Japanese | 1461 | — |
| LMArena Korean | 1434 | — |
| LMArena Russian | 1461 | — |
| LMArena Spanish | 1473 | — |
Instruction Following Not comparable
Gemini 2.5 Pro: 75.0 (#75), o3-pro: —
| Benchmark | Gemini 2.5 Pro | o3-pro |
|---|---|---|
| LiveBench Instruction Following | 80.6% | — |
| IFEval | 84% | — |
| LMArena Instruction Following | 1437 | — |
Long Context o3-pro leads
Gemini 2.5 Pro: 59.8 (#5), o3-pro: 72.2 (#1)
| Benchmark | Gemini 2.5 Pro | o3-pro |
|---|---|---|
| Fiction.LiveBench | 91.7% | 97.2% |
| LMArena Longer Query | 1449 | — |
Writing & Preference Gemini 2.5 Pro leads
Gemini 2.5 Pro: 63.7 (#62), o3-pro: 57.1 (#133)
| Benchmark | Gemini 2.5 Pro | o3-pro |
|---|---|---|
| Short-Story Creative Writing | 83.8% | 84.4% |
| LMArena Text | 1458 | — |
| LMArena Creative Writing | 1454 | — |
| EQ-Bench Creative Writing | 1421 | — |
| WildBench | 85.7% | — |
| LMArena Multi-Turn | 1453 | — |
| LiveBench Language | 67.8% | — |
Frequently asked questions
Is Gemini 2.5 Pro better than o3-pro?
Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 42.9 on the Noometry Index.
Which is cheaper, Gemini 2.5 Pro or o3-pro?
Gemini 2.5 Pro is cheaper. It lists at $1.25 per million input tokens and $10 per million output tokens; o3-pro lists at $20 and $80.
Is Gemini 2.5 Pro or o3-pro better for coding?
o3-pro scores higher on coding benchmarks: 55.5 versus 42.4 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Pro does, with 1.05M tokens against 200K.
How many benchmarks do Gemini 2.5 Pro and o3-pro share?
12 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and o3-pro has 12.