# Gemini 3.6 Flash vs GPT-5 Pro

> Gemini 3.6 Flash is the stronger model overall, scoring 54.1 to 46.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-3-6-flash-vs-gpt-5-pro
- Last updated: 2026-10-10
- Shared benchmarks: 6

## Summary

- They share 6 benchmarks with published results for both. Gemini 3.6 Flash scores higher in 4 categories and GPT-5 Pro in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.6 Flash leads 58.9 to 39.2.
- The biggest single-benchmark swing is ARC-AGI-2: 60.4% for Gemini 3.6 Flash and 18.3% for GPT-5 Pro.
- Gemini 3.6 Flash is cheaper at $0.75 / $3.75 per million input/output tokens, against $15 / $120 for GPT-5 Pro.
- Gemini 3.6 Flash accepts more context: 1.05M tokens versus 400K.

## Snapshot

| | Gemini 3.6 Flash | GPT-5 Pro |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 54.1 | 46.2 |
| Rank | 30 | 58 |
| Context | 1.05M | 400K |
| Input $/M | $0.75 | $15 |
| Output $/M | $3.75 | $120 |
| Weights | Proprietary | Proprietary |

## Coding

- Gemini 3.6 Flash: 49.6 (#45)
- GPT-5 Pro: 43.4 (#77)

| Benchmark | Gemini 3.6 Flash | GPT-5 Pro |
|---|---|---|
| WeirdML | 56.1% | 60.4% |
| DeepSWE | 46.7% | — |
| FrontierCode | 34.4% | — |
| LMArena WebDev | 1536 | — |
| SciCode | 52.7% | — |
| LMArena Coding | 1492 | — |
| ALE-Bench | 715.52 | — |
| AlgoTune | — | 1.31 |

## Agentic & Tool Use

- Gemini 3.6 Flash: 32.4 (#56)
- GPT-5 Pro: —

| Benchmark | Gemini 3.6 Flash | GPT-5 Pro |
|---|---|---|
| APEX-Agents | 46.9% | — |
| GDP.pdf | 14% | — |

## Reasoning

- Gemini 3.6 Flash: 58.9 (#20)
- GPT-5 Pro: 39.2 (#52)

| Benchmark | Gemini 3.6 Flash | GPT-5 Pro |
|---|---|---|
| ARC-AGI-2 | 60.4% | 18.3% |
| ARC-AGI-1 | 91.2% | 70.2% |
| Epoch Capabilities Index | 154.36 | 150.26 |
| SimpleBench | — | 61.6% |
| Kagi LLM Benchmark | — | 76.8% |
| NYT Connections (extended) | 89% | — |
| CritPt | 10.6% | — |
| Chess Puzzles | 43% | — |
| EnigmaEval | — | 18.8% |
| LMArena Hard Prompts | 1486 | — |
| Mystery Game Puzzles | 30% | — |
| DTBench | 95.5% | — |
| LMCA | 44.9% | — |

## Math

- Gemini 3.6 Flash: 57.0 (#33)
- GPT-5 Pro: 48.0 (#53)

| Benchmark | Gemini 3.6 Flash | GPT-5 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | 58.9% | 55.8% |
| FrontierMath Tier 4 | 22% | 19.5% |
| MathArena Final-Answer Competitions | 70.8% | — |
| OTIS Mock AIME 2024-2025 | 94.2% | — |
| ProofBench | 36% | — |
| LMArena Math | 1504 | — |
| FrontierMath Tier 4 (v1) | — | 14.6% |

## Knowledge

- Gemini 3.6 Flash: 67.8 (#7)
- GPT-5 Pro: 56.2 (#39)

| Benchmark | Gemini 3.6 Flash | GPT-5 Pro |
|---|---|---|
| GPQA Diamond | 94.1% | — |
| Humanity's Last Exam | — | 31.6% |
| SimpleQA Verified | 66.2% | — |
| LMArena Expert | 1489 | — |

## Multimodal

- Gemini 3.6 Flash: 38.7 (#55)
- GPT-5 Pro: —

| Benchmark | Gemini 3.6 Flash | GPT-5 Pro |
|---|---|---|
| LMArena Vision | 1297 | — |
| Blueprint-Bench 2 | 31.2% | — |
| Furniture Assembly | 23.3% | — |
| LMArena Document | 1456 | — |

## Multilingual

- Gemini 3.6 Flash: 56.8 (#17)
- GPT-5 Pro: —

| Benchmark | Gemini 3.6 Flash | GPT-5 Pro |
|---|---|---|
| LMArena Non-English | 1470 | — |
| LMArena Chinese | 1530 | — |
| LMArena French | 1501 | — |
| LMArena German | 1478 | — |
| LMArena Japanese | 1477 | — |
| LMArena Korean | 1435 | — |
| LMArena Russian | 1490 | — |
| LMArena Spanish | 1477 | — |

## Instruction Following

- Gemini 3.6 Flash: 77.2 (#27)
- GPT-5 Pro: —

| Benchmark | Gemini 3.6 Flash | GPT-5 Pro |
|---|---|---|
| LMArena Instruction Following | 1467 | — |

## Long Context

- Gemini 3.6 Flash: 45.1 (#47)
- GPT-5 Pro: —

| Benchmark | Gemini 3.6 Flash | GPT-5 Pro |
|---|---|---|
| LMArena Longer Query | 1475 | — |

## Writing & Preference

- Gemini 3.6 Flash: 68.3 (#26)
- GPT-5 Pro: —

| Benchmark | Gemini 3.6 Flash | GPT-5 Pro |
|---|---|---|
| LMArena Text | 1478 | — |
| LMArena Creative Writing | 1464 | — |
| EQ-Bench Creative Writing | 1604 | — |
| LMArena Multi-Turn | 1481 | — |

## FAQ

### Is Gemini 3.6 Flash better than GPT-5 Pro?

Gemini 3.6 Flash is the stronger model overall, scoring 54.1 to 46.2 on the Noometry Index.

### Which is cheaper, Gemini 3.6 Flash or GPT-5 Pro?

Gemini 3.6 Flash is cheaper. It lists at $0.75 per million input tokens and $3.75 per million output tokens; GPT-5 Pro lists at $15 and $120.

### Is Gemini 3.6 Flash or GPT-5 Pro better for coding?

Gemini 3.6 Flash scores higher on coding benchmarks: 49.6 versus 43.4 in the Noometry coding category.

### Which has the bigger context window?

Gemini 3.6 Flash does, with 1.05M tokens against 400K.

### How many benchmarks do Gemini 3.6 Flash and GPT-5 Pro share?

6 benchmarks have published results for both models. Gemini 3.6 Flash has 46 scored results on Noometry and GPT-5 Pro has 12.