Model comparison
Gemini 2.5 Pro vs GPT-5 Pro
GPT-5 Pro is the stronger model overall, scoring 46.4 to 45.0 on the Noometry Index. Gemini 2.5 Pro costs 12× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.
Last verified . 12 shared benchmarks.
GoogleSummary
- They share 12 benchmarks with published results for both. Gemini 2.5 Pro scores higher in 0 categories and GPT-5 Pro in 4 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5 Pro leads 48.5 to 32.5.
- The biggest single-benchmark swing is FrontierMath (Tiers 1-3): 24.6% for Gemini 2.5 Pro and 55.8% for GPT-5 Pro.
- Gemini 2.5 Pro is cheaper at $1.25 / $10 per million input/output tokens, against $15 / $120 for GPT-5 Pro.
- Gemini 2.5 Pro accepts more context: 1.05M tokens versus 400K.
Side by side
| Gemini 2.5 Pro | GPT-5 Pro | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 45.0 | 46.4 |
| Released | 2025-03-25 | 2025-10-06 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 400K |
| Max output | 66K | 272K |
| Input $ / M tokens | $1.25 | $15 |
| Output $ / M tokens | $10 | $120 |
| Results tracked | 78 | 12 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-5 Pro leads
Gemini 2.5 Pro: 42.4 (#101), GPT-5 Pro: 44.0 (#80)
| Benchmark | Gemini 2.5 Pro | GPT-5 Pro |
|---|---|---|
| WeirdML | 54% | 60.4% |
| AlgoTune | 1.51 | 1.31 |
| SWE-bench Verified | 57.6% | — |
| SWE-bench Verified (bash only) | 53.6% | — |
| Aider Polyglot | 83.1% | — |
| LMArena WebDev | 1227 | — |
| SciCode | 42.8% | — |
| GSO | 3.9% | — |
| LiveBench Coding | 85.9% | — |
| LMArena Coding | 1452 | — |
| CadEval | 64% | — |
| ALE-Bench | 785.52 | — |
Agentic & Tool Use Not comparable
Gemini 2.5 Pro: 29.2 (#88), GPT-5 Pro: —
| Benchmark | Gemini 2.5 Pro | GPT-5 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 GPT-5 Pro leads
Gemini 2.5 Pro: 28.8 (#99), GPT-5 Pro: 38.9 (#62)
| Benchmark | Gemini 2.5 Pro | GPT-5 Pro |
|---|---|---|
| ARC-AGI-2 | 4.9% | 18.3% |
| SimpleBench | 62.4% | 61.6% |
| Kagi LLM Benchmark | 70.3% | 76.8% |
| ARC-AGI-1 | 41% | 70.2% |
| EnigmaEval | 5.6% | 18.8% |
| Epoch Capabilities Index | 145.32 | 150.28 |
| CritPt | 2% | — |
| Chess Puzzles | 20% | — |
| LiveBench Reasoning | 89.8% | — |
| LMArena Hard Prompts | 1455 | — |
| DTBench | 82.4% | — |
| LiveBench Data Analysis | 79.9% | — |
| LMCA | 34.8% | — |
| ForecastBench | 61.3 | — |
| LiveBench | 82.3% | — |
Math GPT-5 Pro leads
Gemini 2.5 Pro: 32.5 (#213), GPT-5 Pro: 48.5 (#63)
| Benchmark | Gemini 2.5 Pro | GPT-5 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | 24.6% | 55.8% |
| FrontierMath Tier 4 | 0% | 19.5% |
| FrontierMath Tier 4 (v1) | 4.2% | 14.6% |
| 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% | — |
Knowledge Too close to call
Gemini 2.5 Pro: 56.0 (#46), GPT-5 Pro: 56.7 (#42)
| Benchmark | Gemini 2.5 Pro | GPT-5 Pro |
|---|---|---|
| Humanity's Last Exam | 21.6% | 31.6% |
| GPQA Diamond | 85.3% | — |
| MMLU-Pro | 86.3% | — |
| Confabulations | 10.6% | — |
| Vectara Hallucination Rate | 7% | — |
| GPQA (HELM) | 74.9% | — |
| LMArena Expert | 1452 | — |
Multimodal Not comparable
Gemini 2.5 Pro: 45.2 (#18), GPT-5 Pro: —
| Benchmark | Gemini 2.5 Pro | GPT-5 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), GPT-5 Pro: —
| Benchmark | Gemini 2.5 Pro | GPT-5 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), GPT-5 Pro: —
| Benchmark | Gemini 2.5 Pro | GPT-5 Pro |
|---|---|---|
| LiveBench Instruction Following | 80.6% | — |
| IFEval | 84% | — |
| LMArena Instruction Following | 1437 | — |
Long Context Not comparable
Gemini 2.5 Pro: 59.8 (#5), GPT-5 Pro: —
| Benchmark | Gemini 2.5 Pro | GPT-5 Pro |
|---|---|---|
| Fiction.LiveBench | 91.7% | — |
| LMArena Longer Query | 1449 | — |
Writing & Preference Not comparable
Gemini 2.5 Pro: 63.7 (#62), GPT-5 Pro: —
| Benchmark | Gemini 2.5 Pro | GPT-5 Pro |
|---|---|---|
| LMArena Text | 1458 | — |
| LMArena Creative Writing | 1454 | — |
| Short-Story Creative Writing | 83.8% | — |
| 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 GPT-5 Pro?
GPT-5 Pro is the stronger model overall, scoring 46.4 to 45.0 on the Noometry Index. Gemini 2.5 Pro costs 12× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.
Which is cheaper, Gemini 2.5 Pro or GPT-5 Pro?
Gemini 2.5 Pro is cheaper. It lists at $1.25 per million input tokens and $10 per million output tokens; GPT-5 Pro lists at $15 and $120.
Is Gemini 2.5 Pro or GPT-5 Pro better for coding?
GPT-5 Pro scores higher on coding benchmarks: 44.0 versus 42.4 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Pro does, with 1.05M tokens against 400K.
How many benchmarks do Gemini 2.5 Pro and GPT-5 Pro share?
12 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and GPT-5 Pro has 12.