# Gemini 3.6 Flash vs GPT-4o

> Gemini 3.6 Flash is the stronger model overall, scoring 54.1 to 28.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-3-6-flash-vs-gpt-4o
- Last updated: 2026-10-10
- Shared benchmarks: 30

## Summary

- They share 30 benchmarks with published results for both. Gemini 3.6 Flash scores higher in 10 categories and GPT-4o in 0 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.6 Flash leads 58.8 to 9.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 94.2% for Gemini 3.6 Flash and 6.4% for GPT-4o.
- Gemini 3.6 Flash is cheaper at $0.75 / $3.75 per million input/output tokens, against $2.50 / $10 for GPT-4o.
- Gemini 3.6 Flash accepts more context: 1.05M tokens versus 128K.

## Snapshot

| | Gemini 3.6 Flash | GPT-4o |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 54.1 | 28.6 |
| Rank | 33 | 324 |
| Context | 1.05M | 128K |
| Input $/M | $0.75 | $2.50 |
| Output $/M | $3.75 | $10 |
| Weights | Proprietary | Proprietary |

## Coding

- Gemini 3.6 Flash: 50.0 (#48)
- GPT-4o: 24.8 (#328)

| Benchmark | Gemini 3.6 Flash | GPT-4o |
|---|---|---|
| WeirdML | 56.1% | 25.1% |
| LMArena Coding | 1491 | 1297 |
| SWE-bench Verified | — | 31% |
| DeepSWE | 46.7% | — |
| FrontierCode | 34.4% | — |
| SWE-bench Verified (bash only) | — | 21.6% |
| Aider Polyglot | — | 45.3% |
| LMArena WebDev | 1538 | — |
| SciCode | 52.7% | — |
| GSO | — | 0% |
| BigCodeBench Instruct | — | 51.1% |
| LiveBench Coding | — | 51.4% |
| BigCodeBench Complete | — | 61.1% |
| CadEval | — | 26% |
| ALE-Bench | 715.52 | — |
| HumanEval+ | — | 87.2% |
| MBPP+ | — | 72.2% |

## Agentic & Tool Use

- Gemini 3.6 Flash: 32.3 (#65)
- GPT-4o: 21.0 (#141)

| Benchmark | Gemini 3.6 Flash | GPT-4o |
|---|---|---|
| APEX-Agents | 46.9% | — |
| GDPval | — | 9.9% |
| TheAgentCompany | — | 8.6% |
| Cybench | — | 12.5% |
| BALROG | — | 32.3% |
| GDP.pdf | 14% | — |
| LMArena Search | — | 1006 |
| METR Time Horizons | — | 40.8% |

## Reasoning

- Gemini 3.6 Flash: 58.8 (#22)
- GPT-4o: 9.4 (#343)

| Benchmark | Gemini 3.6 Flash | GPT-4o |
|---|---|---|
| ARC-AGI-2 | 60.4% | 0% |
| ARC-AGI-1 | 91.2% | 4.5% |
| CritPt | 10.6% | 0% |
| Chess Puzzles | 43% | 13% |
| LMArena Hard Prompts | 1485 | 1281 |
| DTBench | 95.5% | 64.5% |
| LMCA | 44.9% | 16.6% |
| Epoch Capabilities Index | 154.25 | 128.97 |
| SimpleBench | — | 17.8% |
| NYT Connections (extended) | 89% | — |
| EnigmaEval | — | 0.8% |
| LiveBench Reasoning | — | 55.8% |
| Mystery Game Puzzles | 30% | — |
| LiveBench Data Analysis | — | 60.9% |
| ForecastBench | — | 57.7 |
| LiveBench | — | 55.3% |

## Math

- Gemini 3.6 Flash: 57.3 (#40)
- GPT-4o: 10.6 (#312)

| Benchmark | Gemini 3.6 Flash | GPT-4o |
|---|---|---|
| FrontierMath (Tiers 1-3) | 58.9% | 0.4% |
| OTIS Mock AIME 2024-2025 | 94.2% | 6.4% |
| LMArena Math | 1505 | 1285 |
| FrontierMath Tier 4 | 22% | — |
| MathArena Final-Answer Competitions | 70.8% | — |
| ProofBench | 36% | — |
| Omni-MATH | — | 29.3% |
| LiveBench Math | — | 49.5% |
| MATH Level 5 | — | 53.3% |
| FrontierMath (Feb 2025 set) | — | 0.3% |

## Knowledge

- Gemini 3.6 Flash: 67.8 (#8)
- GPT-4o: 28.8 (#242)

| Benchmark | Gemini 3.6 Flash | GPT-4o |
|---|---|---|
| GPQA Diamond | 94.1% | 49.2% |
| SimpleQA Verified | 66.2% | 26% |
| LMArena Expert | 1488 | 1250 |
| Humanity's Last Exam | — | 2.7% |
| MMLU-Pro | — | 71.3% |
| Confabulations | — | 15.3% |
| Vectara Hallucination Rate | — | 9.6% |
| GPQA (HELM) | — | 52% |
| MMLU | — | 88.1% |

## Multimodal

- Gemini 3.6 Flash: 38.5 (#64)
- GPT-4o: 34.5 (#91)

| Benchmark | Gemini 3.6 Flash | GPT-4o |
|---|---|---|
| LMArena Vision | 1298 | 1137 |
| Video-MME | — | 71.9% |
| GeoBench | — | 71% |
| VPCT | — | 40% |
| Blueprint-Bench 2 | 31.2% | — |
| Furniture Assembly | 23.3% | — |
| LMArena Document | 1456 | — |
| ScienceQA | — | 88.5% |

## Multilingual

- Gemini 3.6 Flash: 56.5 (#19)
- GPT-4o: 43.2 (#186)

| Benchmark | Gemini 3.6 Flash | GPT-4o |
|---|---|---|
| LMArena Non-English | 1469 | 1283 |
| LMArena Chinese | 1531 | 1277 |
| LMArena French | 1504 | 1304 |
| LMArena German | 1478 | 1282 |
| LMArena Japanese | 1476 | 1257 |
| LMArena Korean | 1431 | 1234 |
| LMArena Russian | 1487 | 1286 |
| LMArena Spanish | 1475 | 1292 |

## Instruction Following

- Gemini 3.6 Flash: 77.0 (#33)
- GPT-4o: 66.6 (#207)

| Benchmark | Gemini 3.6 Flash | GPT-4o |
|---|---|---|
| LMArena Instruction Following | 1466 | 1278 |
| LiveBench Instruction Following | — | 68.6% |
| IFEval | — | 81.7% |

## Long Context

- Gemini 3.6 Flash: 45.1 (#50)
- GPT-4o: 39.4 (#179)

| Benchmark | Gemini 3.6 Flash | GPT-4o |
|---|---|---|
| LMArena Longer Query | 1474 | 1289 |
| Fiction.LiveBench | — | 66.7% |

## Writing & Preference

- Gemini 3.6 Flash: 68.2 (#27)
- GPT-4o: 52.6 (#166)

| Benchmark | Gemini 3.6 Flash | GPT-4o |
|---|---|---|
| LMArena Text | 1479 | 1300 |
| LMArena Creative Writing | 1465 | 1292 |
| LMArena Multi-Turn | 1481 | 1302 |
| Short-Story Creative Writing | — | 81.8% |
| EQ-Bench Creative Writing | 1604 | — |
| WildBench | — | 82.8% |
| LiveBench Language | — | 47.6% |

## FAQ

### Is Gemini 3.6 Flash better than GPT-4o?

Gemini 3.6 Flash is the stronger model overall, scoring 54.1 to 28.6 on the Noometry Index.

### Which is cheaper, Gemini 3.6 Flash or GPT-4o?

Gemini 3.6 Flash is cheaper. It lists at $0.75 per million input tokens and $3.75 per million output tokens; GPT-4o lists at $2.50 and $10.

### Is Gemini 3.6 Flash or GPT-4o better for coding?

Gemini 3.6 Flash scores higher on coding benchmarks: 50.0 versus 24.8 in the Noometry coding category.

### Which has the bigger context window?

Gemini 3.6 Flash does, with 1.05M tokens against 128K.

### How many benchmarks do Gemini 3.6 Flash and GPT-4o share?

30 benchmarks have published results for both models. Gemini 3.6 Flash has 46 scored results on Noometry and GPT-4o has 72.