Model comparison
Gemini 2.5 Pro vs GPT-4o
Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 28.6 on the Noometry Index.
Last verified . 63 shared benchmarks.
Summary
- They share 63 benchmarks with published results for both. Gemini 2.5 Pro scores higher in 10 categories and GPT-4o in 0 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemini 2.5 Pro leads 56.0 to 28.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 84.7% for Gemini 2.5 Pro and 6.4% for GPT-4o.
- Gemini 2.5 Pro is cheaper at $1.25 / $10 per million input/output tokens, against $2.50 / $10 for GPT-4o.
- Gemini 2.5 Pro accepts more context: 1.05M tokens versus 128K.
Side by side
| Gemini 2.5 Pro | GPT-4o | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 45.0 | 28.6 |
| Released | 2025-03-25 | 2024-05-13 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 128K |
| Max output | 66K | 16K |
| Input $ / M tokens | $1.25 | $2.50 |
| Output $ / M tokens | $10 | $10 |
| Results tracked | 78 | 72 |
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Category by category
Coding Gemini 2.5 Pro leads
Gemini 2.5 Pro: 42.4 (#101), GPT-4o: 24.8 (#328)
| Benchmark | Gemini 2.5 Pro | GPT-4o |
|---|---|---|
| SWE-bench Verified | 57.6% | 31% |
| SWE-bench Verified (bash only) | 53.6% | 21.6% |
| Aider Polyglot | 83.1% | 45.3% |
| GSO | 3.9% | 0% |
| WeirdML | 54% | 25.1% |
| LiveBench Coding | 85.9% | 51.4% |
| LMArena Coding | 1452 | 1297 |
| CadEval | 64% | 26% |
| LMArena WebDev | 1227 | — |
| SciCode | 42.8% | — |
| BigCodeBench Instruct | — | 51.1% |
| BigCodeBench Complete | — | 61.1% |
| ALE-Bench | 785.52 | — |
| AlgoTune | 1.51 | — |
| HumanEval+ | — | 87.2% |
| MBPP+ | — | 72.2% |
Agentic & Tool Use Gemini 2.5 Pro leads
Gemini 2.5 Pro: 29.2 (#88), GPT-4o: 21.0 (#141)
| Benchmark | Gemini 2.5 Pro | GPT-4o |
|---|---|---|
| GDPval | 23.3% | 9.9% |
| TheAgentCompany | 30.3% | 8.6% |
| BALROG | 43.3% | 32.3% |
| LMArena Search | 1142 | 1006 |
| METR Time Horizons | 55.4% | 40.8% |
| Terminal-Bench | 32.6% | — |
| Remote Labor Index | 0.8% | — |
| τ²-bench Banking | 13.7% | — |
| Cybench | — | 12.5% |
| DeepResearch Bench | 42.8% | — |
| Vending-Bench 2 | 573.64 | — |
Reasoning Gemini 2.5 Pro leads
Gemini 2.5 Pro: 28.8 (#99), GPT-4o: 9.4 (#343)
| Benchmark | Gemini 2.5 Pro | GPT-4o |
|---|---|---|
| ARC-AGI-2 | 4.9% | 0% |
| SimpleBench | 62.4% | 17.8% |
| ARC-AGI-1 | 41% | 4.5% |
| CritPt | 2% | 0% |
| Chess Puzzles | 20% | 13% |
| EnigmaEval | 5.6% | 0.8% |
| LiveBench Reasoning | 89.8% | 55.8% |
| LMArena Hard Prompts | 1455 | 1281 |
| DTBench | 82.4% | 64.5% |
| LiveBench Data Analysis | 79.9% | 60.9% |
| LMCA | 34.8% | 16.6% |
| Epoch Capabilities Index | 145.32 | 128.97 |
| ForecastBench | 61.3 | 57.7 |
| LiveBench | 82.3% | 55.3% |
| Kagi LLM Benchmark | 70.3% | — |
Math Gemini 2.5 Pro leads
Gemini 2.5 Pro: 32.5 (#213), GPT-4o: 10.6 (#312)
| Benchmark | Gemini 2.5 Pro | GPT-4o |
|---|---|---|
| FrontierMath (Tiers 1-3) | 24.6% | 0.4% |
| OTIS Mock AIME 2024-2025 | 84.7% | 6.4% |
| Omni-MATH | 41.6% | 29.3% |
| LiveBench Math | 90.2% | 49.5% |
| LMArena Math | 1450 | 1285 |
| MATH Level 5 | 95.9% | 53.3% |
| FrontierMath (Feb 2025 set) | 14.1% | 0.3% |
| FrontierMath Tier 4 | 0% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Gemini 2.5 Pro leads
Gemini 2.5 Pro: 56.0 (#46), GPT-4o: 28.8 (#242)
| Benchmark | Gemini 2.5 Pro | GPT-4o |
|---|---|---|
| GPQA Diamond | 85.3% | 49.2% |
| Humanity's Last Exam | 21.6% | 2.7% |
| MMLU-Pro | 86.3% | 71.3% |
| Confabulations | 10.6% | 15.3% |
| Vectara Hallucination Rate | 7% | 9.6% |
| GPQA (HELM) | 74.9% | 52% |
| LMArena Expert | 1452 | 1250 |
| SimpleQA Verified | — | 26% |
| MMLU | — | 88.1% |
Multimodal Gemini 2.5 Pro leads
Gemini 2.5 Pro: 45.2 (#18), GPT-4o: 34.5 (#91)
| Benchmark | Gemini 2.5 Pro | GPT-4o |
|---|---|---|
| LMArena Vision | 1263 | 1137 |
| GeoBench | 86% | 71% |
| VPCT | 48% | 40% |
| Video-MME | — | 71.9% |
| LMArena Document | 1421 | — |
| ScienceQA | — | 88.5% |
| SpatialViz-Bench | 44.7% | — |
Multilingual Gemini 2.5 Pro leads
Gemini 2.5 Pro: 55.3 (#31), GPT-4o: 43.2 (#186)
| Benchmark | Gemini 2.5 Pro | GPT-4o |
|---|---|---|
| LMArena Non-English | 1451 | 1283 |
| LMArena Chinese | 1507 | 1277 |
| LMArena French | 1472 | 1304 |
| LMArena German | 1487 | 1282 |
| LMArena Japanese | 1461 | 1257 |
| LMArena Korean | 1434 | 1234 |
| LMArena Russian | 1461 | 1286 |
| LMArena Spanish | 1473 | 1292 |
Instruction Following Gemini 2.5 Pro leads
Gemini 2.5 Pro: 75.0 (#75), GPT-4o: 66.6 (#207)
| Benchmark | Gemini 2.5 Pro | GPT-4o |
|---|---|---|
| LiveBench Instruction Following | 80.6% | 68.6% |
| IFEval | 84% | 81.7% |
| LMArena Instruction Following | 1437 | 1278 |
Long Context Gemini 2.5 Pro leads
Gemini 2.5 Pro: 59.8 (#5), GPT-4o: 39.4 (#179)
| Benchmark | Gemini 2.5 Pro | GPT-4o |
|---|---|---|
| Fiction.LiveBench | 91.7% | 66.7% |
| LMArena Longer Query | 1449 | 1289 |
Writing & Preference Gemini 2.5 Pro leads
Gemini 2.5 Pro: 63.7 (#62), GPT-4o: 52.6 (#166)
| Benchmark | Gemini 2.5 Pro | GPT-4o |
|---|---|---|
| LMArena Text | 1458 | 1300 |
| LMArena Creative Writing | 1454 | 1292 |
| Short-Story Creative Writing | 83.8% | 81.8% |
| WildBench | 85.7% | 82.8% |
| LMArena Multi-Turn | 1453 | 1302 |
| LiveBench Language | 67.8% | 47.6% |
| EQ-Bench Creative Writing | 1421 | — |
Frequently asked questions
Is Gemini 2.5 Pro better than GPT-4o?
Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 28.6 on the Noometry Index.
Which is cheaper, Gemini 2.5 Pro or GPT-4o?
Gemini 2.5 Pro is cheaper. It lists at $1.25 per million input tokens and $10 per million output tokens; GPT-4o lists at $2.50 and $10.
Is Gemini 2.5 Pro or GPT-4o better for coding?
Gemini 2.5 Pro scores higher on coding benchmarks: 42.4 versus 24.8 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Pro does, with 1.05M tokens against 128K.
How many benchmarks do Gemini 2.5 Pro and GPT-4o share?
63 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and GPT-4o has 72.