# Gemini 3.6 Flash vs GPT-6 Sol

> Gemini 3.6 Flash is the stronger model overall, scoring 54.1 to 49.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-3-6-flash-vs-gpt-6-sol
- Last updated: 2026-10-10
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. Gemini 3.6 Flash scores higher in 6 categories and GPT-6 Sol in 4 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemini 3.6 Flash leads 67.8 to 43.0.
- The biggest single-benchmark swing is Furniture Assembly: 23.3% for Gemini 3.6 Flash and 58.3% for GPT-6 Sol.
- Gemini 3.6 Flash is cheaper at $0.75 / $3.75 per million input/output tokens, against $2 / $10 for GPT-6 Sol.
- GPT-6 Sol accepts more context: 1.05M tokens versus 1.05M.

## Snapshot

| | Gemini 3.6 Flash | GPT-6 Sol |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 54.1 | 49.2 |
| Rank | 30 | 46 |
| Context | 1.05M | 1.05M |
| Input $/M | $0.75 | $2 |
| Output $/M | $3.75 | $10 |
| Weights | Proprietary | Proprietary |

## Coding

- Gemini 3.6 Flash: 49.6 (#45)
- GPT-6 Sol: 59.6 (#11)

| Benchmark | Gemini 3.6 Flash | GPT-6 Sol |
|---|---|---|
| DeepSWE | 46.7% | 68.8% |
| FrontierCode | 34.4% | 49.3% |
| LMArena WebDev | 1536 | 1692 |
| LMArena Coding | 1492 | 1453 |
| SciCode | 52.7% | — |
| WeirdML | 56.1% | — |
| ALE-Bench | 715.52 | — |

## Agentic & Tool Use

- Gemini 3.6 Flash: 32.4 (#56)
- GPT-6 Sol: 33.5 (#49)

| Benchmark | Gemini 3.6 Flash | GPT-6 Sol |
|---|---|---|
| GDP.pdf | 14% | 28% |
| APEX-Agents | 46.9% | — |

## Reasoning

- Gemini 3.6 Flash: 58.9 (#20)
- GPT-6 Sol: 49.3 (#34)

| Benchmark | Gemini 3.6 Flash | GPT-6 Sol |
|---|---|---|
| NYT Connections (extended) | 89% | 90.1% |
| LMArena Hard Prompts | 1486 | 1420 |
| ARC-AGI-2 | 60.4% | — |
| ARC-AGI-1 | 91.2% | — |
| CritPt | 10.6% | — |
| Chess Puzzles | 43% | — |
| EBR-Bench | — | 53.3% |
| Mystery Game Puzzles | 30% | — |
| DTBench | 95.5% | — |
| LMCA | 44.9% | — |
| Epoch Capabilities Index | 154.36 | — |

## Math

- Gemini 3.6 Flash: 57.0 (#33)
- GPT-6 Sol: 35.8 (#135)

| Benchmark | Gemini 3.6 Flash | GPT-6 Sol |
|---|---|---|
| LMArena Math | 1504 | 1404 |
| FrontierMath (Tiers 1-3) | 58.9% | — |
| FrontierMath Tier 4 | 22% | — |
| MathArena Final-Answer Competitions | 70.8% | — |
| OTIS Mock AIME 2024-2025 | 94.2% | — |
| ProofBench | 36% | — |

## Knowledge

- Gemini 3.6 Flash: 67.8 (#7)
- GPT-6 Sol: 43.0 (#87)

| Benchmark | Gemini 3.6 Flash | GPT-6 Sol |
|---|---|---|
| LMArena Expert | 1489 | 1449 |
| GPQA Diamond | 94.1% | — |
| SimpleQA Verified | 66.2% | — |
| Vectara Hallucination Rate | — | 6.5% |

## Multimodal

- Gemini 3.6 Flash: 38.7 (#55)
- GPT-6 Sol: 47.6 (#9)

| Benchmark | Gemini 3.6 Flash | GPT-6 Sol |
|---|---|---|
| Furniture Assembly | 23.3% | 58.3% |
| LMArena Vision | 1297 | — |
| Blueprint-Bench 2 | 31.2% | — |
| LMArena Document | 1456 | — |

## Multilingual

- Gemini 3.6 Flash: 56.8 (#17)
- GPT-6 Sol: 51.0 (#113)

| Benchmark | Gemini 3.6 Flash | GPT-6 Sol |
|---|---|---|
| LMArena Non-English | 1470 | 1389 |
| LMArena Chinese | 1530 | 1416 |
| LMArena Russian | 1490 | 1407 |
| LMArena Spanish | 1477 | 1377 |
| LMArena French | 1501 | — |
| LMArena German | 1478 | — |
| LMArena Japanese | 1477 | — |
| LMArena Korean | 1435 | — |

## Instruction Following

- Gemini 3.6 Flash: 77.2 (#27)
- GPT-6 Sol: 74.4 (#97)

| Benchmark | Gemini 3.6 Flash | GPT-6 Sol |
|---|---|---|
| LMArena Instruction Following | 1467 | 1406 |

## Long Context

- Gemini 3.6 Flash: 45.1 (#47)
- GPT-6 Sol: 43.2 (#100)

| Benchmark | Gemini 3.6 Flash | GPT-6 Sol |
|---|---|---|
| LMArena Longer Query | 1475 | 1415 |

## Writing & Preference

- Gemini 3.6 Flash: 68.3 (#26)
- GPT-6 Sol: 72.3 (#15)

| Benchmark | Gemini 3.6 Flash | GPT-6 Sol |
|---|---|---|
| LMArena Text | 1478 | 1396 |
| LMArena Creative Writing | 1464 | 1392 |
| EQ-Bench Creative Writing | 1604 | 2125 |
| LMArena Multi-Turn | 1481 | 1405 |

## FAQ

### Is Gemini 3.6 Flash better than GPT-6 Sol?

Gemini 3.6 Flash is the stronger model overall, scoring 54.1 to 49.2 on the Noometry Index.

### Which is cheaper, Gemini 3.6 Flash or GPT-6 Sol?

Gemini 3.6 Flash is cheaper. It lists at $0.75 per million input tokens and $3.75 per million output tokens; GPT-6 Sol lists at $2 and $10.

### Is Gemini 3.6 Flash or GPT-6 Sol better for coding?

GPT-6 Sol scores higher on coding benchmarks: 59.6 versus 49.6 in the Noometry coding category.

### Which has the bigger context window?

GPT-6 Sol does, with 1.05M tokens against 1.05M.

### How many benchmarks do Gemini 3.6 Flash and GPT-6 Sol share?

20 benchmarks have published results for both models. Gemini 3.6 Flash has 46 scored results on Noometry and GPT-6 Sol has 22.