# Gemini 3.7 Flash vs GPT-6.1 Sol

> Gemini 3.7 Flash has enough public results to be ranked (#11); GPT-6.1 Sol does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/gemini-3-7-flash-vs-gpt-6-1-sol
- Last updated: 2026-10-10
- Shared benchmarks: 2

## Summary

- They share 2 benchmarks with published results for both. Gemini 3.7 Flash scores higher in 2 categories and GPT-6.1 Sol in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in agentic & tool use, where Gemini 3.7 Flash leads 42.2 to 34.3.
- The biggest single-benchmark swing is DeepSWE: 65.5% for Gemini 3.7 Flash and 75.2% for GPT-6.1 Sol.
- Gemini 3.7 Flash is cheaper at $0.75 / $3.75 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
- GPT-6.1 Sol accepts more context: 1.05M tokens versus 1.05M.

## Snapshot

| | Gemini 3.7 Flash | GPT-6.1 Sol |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 59.8 | 42.1 |
| Rank | 11 | — |
| Context | 1.05M | 1.05M |
| Input $/M | $0.75 | $2 |
| Output $/M | $3.75 | $10 |
| Weights | Proprietary | Proprietary |

## Coding

- Gemini 3.7 Flash: 55.7 (#19)
- GPT-6.1 Sol: 51.4

| Benchmark | Gemini 3.7 Flash | GPT-6.1 Sol |
|---|---|---|
| DeepSWE | 65.5% | 75.2% |
| FrontierCode | 43.6% | — |
| LMArena WebDev | 1593 | — |
| FrontierSWE | 20.3% | — |
| SciCode | 59.8% | — |
| LMArena Coding | 1499 | — |
| ALE-Bench | 904.3 | — |

## Agentic & Tool Use

- Gemini 3.7 Flash: 42.2 (#18)
- GPT-6.1 Sol: 34.3

| Benchmark | Gemini 3.7 Flash | GPT-6.1 Sol |
|---|---|---|
| GDP.pdf | 23.8% | 32% |
| APEX-Agents | 67.8% | — |
| Remote Labor Index | 5% | — |

## Reasoning

- Gemini 3.7 Flash: 70.1 (#12)
- GPT-6.1 Sol: —

| Benchmark | Gemini 3.7 Flash | GPT-6.1 Sol |
|---|---|---|
| ARC-AGI-2 | 84.6% | — |
| NYT Connections (extended) | 94% | — |
| ARC-AGI-1 | 95.5% | — |
| CritPt | 14.3% | — |
| Chess Puzzles | 47% | — |
| LMArena Hard Prompts | 1497 | — |
| Mystery Game Puzzles | 37% | — |
| DTBench | 96.8% | — |
| LMCA | 50.4% | — |
| Epoch Capabilities Index | 157.72 | — |

## Math

- Gemini 3.7 Flash: 69.5 (#18)
- GPT-6.1 Sol: —

| Benchmark | Gemini 3.7 Flash | GPT-6.1 Sol |
|---|---|---|
| FrontierMath (Tiers 1-3) | 71.6% | — |
| FrontierMath Tier 4 | 36.6% | — |
| OTIS Mock AIME 2024-2025 | 97.2% | — |
| ProofBench | 58% | — |
| LMArena Math | 1511 | — |

## Knowledge

- Gemini 3.7 Flash: 69.8 (#4)
- GPT-6.1 Sol: —

| Benchmark | Gemini 3.7 Flash | GPT-6.1 Sol |
|---|---|---|
| GPQA Diamond | 94.8% | — |
| SimpleQA Verified | 69.2% | — |
| LMArena Expert | 1508 | — |

## Multimodal

- Gemini 3.7 Flash: 36.9 (#69)
- GPT-6.1 Sol: —

| Benchmark | Gemini 3.7 Flash | GPT-6.1 Sol |
|---|---|---|
| LMArena Vision | 1314 | — |
| Furniture Assembly | 26.7% | — |

## Multilingual

- Gemini 3.7 Flash: 57.8 (#7)
- GPT-6.1 Sol: —

| Benchmark | Gemini 3.7 Flash | GPT-6.1 Sol |
|---|---|---|
| LMArena Non-English | 1485 | — |
| LMArena Chinese | 1553 | — |
| LMArena French | 1512 | — |
| LMArena German | 1485 | — |
| LMArena Japanese | 1506 | — |
| LMArena Korean | 1486 | — |
| LMArena Russian | 1519 | — |
| LMArena Spanish | 1507 | — |

## Instruction Following

- Gemini 3.7 Flash: 78.0 (#12)
- GPT-6.1 Sol: —

| Benchmark | Gemini 3.7 Flash | GPT-6.1 Sol |
|---|---|---|
| LMArena Instruction Following | 1486 | — |

## Long Context

- Gemini 3.7 Flash: 45.8 (#28)
- GPT-6.1 Sol: —

| Benchmark | Gemini 3.7 Flash | GPT-6.1 Sol |
|---|---|---|
| LMArena Longer Query | 1493 | — |

## Writing & Preference

- Gemini 3.7 Flash: 71.4 (#19)
- GPT-6.1 Sol: —

| Benchmark | Gemini 3.7 Flash | GPT-6.1 Sol |
|---|---|---|
| LMArena Text | 1487 | — |
| LMArena Creative Writing | 1490 | — |
| EQ-Bench Creative Writing | 1723 | — |
| LMArena Multi-Turn | 1495 | — |

## FAQ

### Is Gemini 3.7 Flash better than GPT-6.1 Sol?

Gemini 3.7 Flash has enough public results to be ranked (#11); GPT-6.1 Sol does not yet, so treat this comparison as directional.

### Which is cheaper, Gemini 3.7 Flash or GPT-6.1 Sol?

Gemini 3.7 Flash is cheaper. It lists at $0.75 per million input tokens and $3.75 per million output tokens; GPT-6.1 Sol lists at $2 and $10.

### Is Gemini 3.7 Flash or GPT-6.1 Sol better for coding?

Gemini 3.7 Flash scores higher on coding benchmarks: 55.7 versus 51.4 in the Noometry coding category.

### Which has the bigger context window?

GPT-6.1 Sol does, with 1.05M tokens against 1.05M.

### How many benchmarks do Gemini 3.7 Flash and GPT-6.1 Sol share?

2 benchmarks have published results for both models. Gemini 3.7 Flash has 44 scored results on Noometry and GPT-6.1 Sol has 2.