Model comparison
Gemini 2.5 Pro vs o3-mini
Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 36.7 on the Noometry Index. o3-mini costs 1.8× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.
Last verified . 48 shared benchmarks.
Summary
- They share 48 benchmarks with published results for both. Gemini 2.5 Pro scores higher in 7 categories and o3-mini in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in long context, where Gemini 2.5 Pro leads 59.8 to 33.8.
- The biggest single-benchmark swing is Fiction.LiveBench: 91.7% for Gemini 2.5 Pro and 50% for o3-mini.
- o3-mini is cheaper at $1.10 / $4.40 per million input/output tokens, against $1.25 / $10 for Gemini 2.5 Pro.
- Gemini 2.5 Pro accepts more context: 1.05M tokens versus 200K.
Side by side
| Gemini 2.5 Pro | o3-mini | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 45.0 | 36.7 |
| Released | 2025-03-25 | 2024-12-20 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 200K |
| Max output | 66K | 100K |
| Input $ / M tokens | $1.25 | $1.10 |
| Output $ / M tokens | $10 | $4.40 |
| Results tracked | 78 | 51 |
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Category by category
Coding Gemini 2.5 Pro leads
Gemini 2.5 Pro: 42.4 (#101), o3-mini: 40.8 (#132)
| Benchmark | Gemini 2.5 Pro | o3-mini |
|---|---|---|
| Aider Polyglot | 83.1% | 60.4% |
| SciCode | 42.8% | 39.8% |
| GSO | 3.9% | 1.3% |
| WeirdML | 54% | 43.7% |
| LiveBench Coding | 85.9% | 82.7% |
| LMArena Coding | 1452 | 1378 |
| CadEval | 64% | 54% |
| SWE-bench Verified | 57.6% | — |
| SWE-bench Verified (bash only) | 53.6% | — |
| LMArena WebDev | 1227 | — |
| ALE-Bench | 785.52 | — |
| AlgoTune | 1.51 | — |
Agentic & Tool Use Too close to call
Gemini 2.5 Pro: 29.2 (#88), o3-mini: 29.6 (#84)
| Benchmark | Gemini 2.5 Pro | o3-mini |
|---|---|---|
| Terminal-Bench | 32.6% | — |
| GDPval | 23.3% | — |
| Remote Labor Index | 0.8% | — |
| TheAgentCompany | 30.3% | — |
| τ²-bench Banking | 13.7% | — |
| Cybench | — | 22.5% |
| 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-mini: 16.3 (#305)
| Benchmark | Gemini 2.5 Pro | o3-mini |
|---|---|---|
| ARC-AGI-2 | 4.9% | 3% |
| SimpleBench | 62.4% | 22.8% |
| ARC-AGI-1 | 41% | 34.5% |
| CritPt | 2% | 0.3% |
| Chess Puzzles | 20% | 17% |
| LiveBench Reasoning | 89.8% | 89.6% |
| LMArena Hard Prompts | 1455 | 1366 |
| DTBench | 82.4% | 68.8% |
| LiveBench Data Analysis | 79.9% | 70.6% |
| LMCA | 34.8% | 19% |
| Epoch Capabilities Index | 145.32 | 140.34 |
| ForecastBench | 61.3 | 59.6 |
| LiveBench | 82.3% | 75.9% |
| Kagi LLM Benchmark | 70.3% | — |
| EnigmaEval | 5.6% | — |
| Mystery Game Puzzles | — | 7% |
Math Gemini 2.5 Pro leads
Gemini 2.5 Pro: 32.5 (#213), o3-mini: 28.1 (#244)
| Benchmark | Gemini 2.5 Pro | o3-mini |
|---|---|---|
| FrontierMath (Tiers 1-3) | 24.6% | 18.6% |
| FrontierMath Tier 4 | 0% | 0% |
| OTIS Mock AIME 2024-2025 | 84.7% | 76.9% |
| LiveBench Math | 90.2% | 77.3% |
| LMArena Math | 1450 | 1396 |
| MATH Level 5 | 95.9% | 96.5% |
| FrontierMath (Feb 2025 set) | 14.1% | 12.4% |
| FrontierMath Tier 4 (v1) | 4.2% | 4.2% |
| Omni-MATH | 41.6% | — |
Knowledge Gemini 2.5 Pro leads
Gemini 2.5 Pro: 56.0 (#46), o3-mini: 38.3 (#146)
| Benchmark | Gemini 2.5 Pro | o3-mini |
|---|---|---|
| GPQA Diamond | 85.3% | 77% |
| Confabulations | 10.6% | 17.9% |
| LMArena Expert | 1452 | 1364 |
| Humanity's Last Exam | 21.6% | — |
| SimpleQA Verified | — | 15.3% |
| MMLU-Pro | 86.3% | — |
| Vectara Hallucination Rate | 7% | — |
| GPQA (HELM) | 74.9% | — |
Multimodal Not comparable
Gemini 2.5 Pro: 45.2 (#18), o3-mini: —
| Benchmark | Gemini 2.5 Pro | o3-mini |
|---|---|---|
| LMArena Vision | 1263 | — |
| GeoBench | 86% | — |
| VPCT | 48% | — |
| LMArena Document | 1421 | — |
| SpatialViz-Bench | 44.7% | — |
Multilingual Gemini 2.5 Pro leads
Gemini 2.5 Pro: 55.3 (#31), o3-mini: 45.7 (#164)
| Benchmark | Gemini 2.5 Pro | o3-mini |
|---|---|---|
| LMArena Non-English | 1451 | 1319 |
| LMArena Chinese | 1507 | 1379 |
| LMArena French | 1472 | 1334 |
| LMArena German | 1487 | 1303 |
| LMArena Japanese | 1461 | 1286 |
| LMArena Korean | 1434 | 1314 |
| LMArena Russian | 1461 | 1304 |
| LMArena Spanish | 1473 | 1321 |
Instruction Following Too close to call
Gemini 2.5 Pro: 75.0 (#75), o3-mini: 75.1 (#72)
| Benchmark | Gemini 2.5 Pro | o3-mini |
|---|---|---|
| LiveBench Instruction Following | 80.6% | 84.4% |
| LMArena Instruction Following | 1437 | 1337 |
| IFEval | 84% | — |
Long Context Gemini 2.5 Pro leads
Gemini 2.5 Pro: 59.8 (#5), o3-mini: 33.8 (#256)
| Benchmark | Gemini 2.5 Pro | o3-mini |
|---|---|---|
| Fiction.LiveBench | 91.7% | 50% |
| LMArena Longer Query | 1449 | 1343 |
Writing & Preference Gemini 2.5 Pro leads
Gemini 2.5 Pro: 63.7 (#62), o3-mini: 50.3 (#182)
| Benchmark | Gemini 2.5 Pro | o3-mini |
|---|---|---|
| LMArena Text | 1458 | 1337 |
| LMArena Creative Writing | 1454 | 1286 |
| Short-Story Creative Writing | 83.8% | 61.7% |
| LMArena Multi-Turn | 1453 | 1320 |
| LiveBench Language | 67.8% | 50.7% |
| EQ-Bench Creative Writing | 1421 | — |
| WildBench | 85.7% | — |
Frequently asked questions
Is Gemini 2.5 Pro better than o3-mini?
Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 36.7 on the Noometry Index. o3-mini costs 1.8× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.
Which is cheaper, Gemini 2.5 Pro or o3-mini?
o3-mini is cheaper. It lists at $1.10 per million input tokens and $4.40 per million output tokens; Gemini 2.5 Pro lists at $1.25 and $10.
Is Gemini 2.5 Pro or o3-mini better for coding?
Gemini 2.5 Pro scores higher on coding benchmarks: 42.4 versus 40.8 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-mini share?
48 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and o3-mini has 51.