# Gemini 2.5 Flash vs GPT-4o

> Gemini 2.5 Flash is the stronger model overall, scoring 39.3 to 28.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-2-5-flash-vs-gpt-4o
- Last updated: 2026-10-10
- Shared benchmarks: 46

## Summary

- They share 46 benchmarks with published results for both. Gemini 2.5 Flash scores higher in 10 categories and GPT-4o in 0 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 2.5 Flash leads 39.9 to 10.6.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 73.1% for Gemini 2.5 Flash and 6.4% for GPT-4o.
- Gemini 2.5 Flash is cheaper at $0.30 / $2.50 per million input/output tokens, against $2.50 / $10 for GPT-4o.
- Gemini 2.5 Flash accepts more context: 1.05M tokens versus 128K.

## Snapshot

| | Gemini 2.5 Flash | GPT-4o |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 39.3 | 28.6 |
| Rank | 170 | 324 |
| Context | 1.05M | 128K |
| Input $/M | $0.30 | $2.50 |
| Output $/M | $2.50 | $10 |
| Weights | Proprietary | Proprietary |

## Coding

- Gemini 2.5 Flash: 35.8 (#220)
- GPT-4o: 24.8 (#328)

| Benchmark | Gemini 2.5 Flash | GPT-4o |
|---|---|---|
| SWE-bench Verified (bash only) | 28.7% | 21.6% |
| Aider Polyglot | 55.1% | 45.3% |
| WeirdML | 41.9% | 25.1% |
| LMArena Coding | 1424 | 1297 |
| SWE-bench Verified | — | 31% |
| GSO | — | 0% |
| BigCodeBench Instruct | — | 51.1% |
| LiveBench Coding | — | 51.4% |
| BigCodeBench Complete | — | 61.1% |
| CadEval | — | 26% |
| ALE-Bench | 661.88 | — |
| HumanEval+ | — | 87.2% |
| MBPP+ | — | 72.2% |

## Agentic & Tool Use

- Gemini 2.5 Flash: 30.8 (#74)
- GPT-4o: 21.0 (#141)

| Benchmark | Gemini 2.5 Flash | GPT-4o |
|---|---|---|
| TheAgentCompany | 41.1% | 8.6% |
| BALROG | 33.5% | 32.3% |
| Terminal-Bench | 17.1% | — |
| Berkeley Function Calling Leaderboard | 56.2% | — |
| GDPval | — | 9.9% |
| Cybench | — | 12.5% |
| LMArena Search | — | 1006 |
| METR Time Horizons | — | 40.8% |
| Vending-Bench 2 | 548.84 | — |

## Reasoning

- Gemini 2.5 Flash: 18.1 (#286)
- GPT-4o: 9.4 (#343)

| Benchmark | Gemini 2.5 Flash | GPT-4o |
|---|---|---|
| ARC-AGI-2 | 2.5% | 0% |
| SimpleBench | 41.2% | 17.8% |
| ARC-AGI-1 | 33.3% | 4.5% |
| CritPt | 1.1% | 0% |
| EnigmaEval | 2.7% | 0.8% |
| LMArena Hard Prompts | 1422 | 1281 |
| DTBench | 76.5% | 64.5% |
| LMCA | 27.5% | 16.6% |
| Epoch Capabilities Index | 143.03 | 128.97 |
| ForecastBench | 60.6 | 57.7 |
| Kagi LLM Benchmark | 56.8% | — |
| Chess Puzzles | — | 13% |
| LiveBench Reasoning | — | 55.8% |
| LiveBench Data Analysis | — | 60.9% |
| LiveBench | — | 55.3% |

## Math

- Gemini 2.5 Flash: 39.9 (#98)
- GPT-4o: 10.6 (#312)

| Benchmark | Gemini 2.5 Flash | GPT-4o |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 73.1% | 6.4% |
| Omni-MATH | 38.5% | 29.3% |
| LMArena Math | 1415 | 1285 |
| FrontierMath (Feb 2025 set) | 4.8% | 0.3% |
| FrontierMath (Tiers 1-3) | — | 0.4% |
| LiveBench Math | — | 49.5% |
| MATH Level 5 | — | 53.3% |
| FrontierMath Tier 4 (v1) | 4.2% | — |

## Knowledge

- Gemini 2.5 Flash: 36.4 (#168)
- GPT-4o: 28.8 (#242)

| Benchmark | Gemini 2.5 Flash | GPT-4o |
|---|---|---|
| Humanity's Last Exam | 12.1% | 2.7% |
| MMLU-Pro | 63.9% | 71.3% |
| Confabulations | 16.8% | 15.3% |
| Vectara Hallucination Rate | 7.8% | 9.6% |
| GPQA (HELM) | 39% | 52% |
| LMArena Expert | 1426 | 1250 |
| GPQA Diamond | — | 49.2% |
| SimpleQA Verified | — | 26% |
| MMLU | — | 88.1% |

## Multimodal

- Gemini 2.5 Flash: 41.8 (#32)
- GPT-4o: 34.5 (#91)

| Benchmark | Gemini 2.5 Flash | GPT-4o |
|---|---|---|
| LMArena Vision | 1253 | 1137 |
| GeoBench | 76% | 71% |
| VPCT | 46.2% | 40% |
| Video-MME | — | 71.9% |
| ScienceQA | — | 88.5% |
| SpatialViz-Bench | 36.9% | — |

## Multilingual

- Gemini 2.5 Flash: 52.3 (#88)
- GPT-4o: 43.2 (#186)

| Benchmark | Gemini 2.5 Flash | GPT-4o |
|---|---|---|
| LMArena Non-English | 1409 | 1283 |
| LMArena Chinese | 1450 | 1277 |
| LMArena French | 1433 | 1304 |
| LMArena German | 1418 | 1282 |
| LMArena Japanese | 1405 | 1257 |
| LMArena Korean | 1385 | 1234 |
| LMArena Russian | 1415 | 1286 |
| LMArena Spanish | 1421 | 1292 |

## Instruction Following

- Gemini 2.5 Flash: 75.7 (#54)
- GPT-4o: 66.6 (#207)

| Benchmark | Gemini 2.5 Flash | GPT-4o |
|---|---|---|
| IFEval | 89.8% | 81.7% |
| LMArena Instruction Following | 1405 | 1278 |
| LiveBench Instruction Following | — | 68.6% |

## Long Context

- Gemini 2.5 Flash: 47.5 (#17)
- GPT-4o: 39.4 (#179)

| Benchmark | Gemini 2.5 Flash | GPT-4o |
|---|---|---|
| Fiction.LiveBench | 77.8% | 66.7% |
| LMArena Longer Query | 1419 | 1289 |

## Writing & Preference

- Gemini 2.5 Flash: 53.8 (#157)
- GPT-4o: 52.6 (#166)

| Benchmark | Gemini 2.5 Flash | GPT-4o |
|---|---|---|
| LMArena Text | 1417 | 1300 |
| LMArena Creative Writing | 1400 | 1292 |
| Short-Story Creative Writing | 76.5% | 81.8% |
| WildBench | 81.7% | 82.8% |
| LMArena Multi-Turn | 1408 | 1302 |
| EQ-Bench Creative Writing | 1137 | — |
| LiveBench Language | — | 47.6% |

## FAQ

### Is Gemini 2.5 Flash better than GPT-4o?

Gemini 2.5 Flash is the stronger model overall, scoring 39.3 to 28.6 on the Noometry Index.

### Which is cheaper, Gemini 2.5 Flash or GPT-4o?

Gemini 2.5 Flash is cheaper. It lists at $0.30 per million input tokens and $2.50 per million output tokens; GPT-4o lists at $2.50 and $10.

### Is Gemini 2.5 Flash or GPT-4o better for coding?

Gemini 2.5 Flash scores higher on coding benchmarks: 35.8 versus 24.8 in the Noometry coding category.

### Which has the bigger context window?

Gemini 2.5 Flash does, with 1.05M tokens against 128K.

### How many benchmarks do Gemini 2.5 Flash and GPT-4o share?

46 benchmarks have published results for both models. Gemini 2.5 Flash has 54 scored results on Noometry and GPT-4o has 72.