# Gemini 3.7 Flash vs Mistral Small 3.1

> Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 31.4 on the Noometry Index. Mistral Small 3.1 costs 3.7× less per token, which makes it the better buy when Gemini 3.7 Flash's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemini-3-7-flash-vs-mistral-small-3-1
- Last updated: 2026-10-10
- Shared benchmarks: 23

## Summary

- They share 23 benchmarks with published results for both. Gemini 3.7 Flash scores higher in 9 categories and Mistral Small 3.1 in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 3.7 Flash leads 69.5 to 13.7.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 97.2% for Gemini 3.7 Flash and 3.9% for Mistral Small 3.1.
- Mistral Small 3.1 is cheaper at $0.35 / $0.56 per million input/output tokens, against $0.75 / $3.75 for Gemini 3.7 Flash.
- Gemini 3.7 Flash accepts more context: 1.05M tokens versus 128K.
- Mistral Small 3.1 has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 3.7 Flash | Mistral Small 3.1 |
|---|---|---|
| Provider | Google | Mistral AI |
| Noometry Index | 59.8 | 31.4 |
| Rank | 11 | 263 |
| Context | 1.05M | 128K |
| Input $/M | $0.75 | $0.35 |
| Output $/M | $3.75 | $0.56 |
| Weights | Proprietary | Open |

## Coding

- Gemini 3.7 Flash: 55.7 (#19)
- Mistral Small 3.1: 37.7 (#175)

| Benchmark | Gemini 3.7 Flash | Mistral Small 3.1 |
|---|---|---|
| LMArena Coding | 1499 | 1309 |
| DeepSWE | 65.5% | — |
| FrontierCode | 43.6% | — |
| LMArena WebDev | 1593 | — |
| FrontierSWE | 20.3% | — |
| SciCode | 59.8% | — |
| ALE-Bench | 904.3 | — |

## Agentic & Tool Use

- Gemini 3.7 Flash: 42.2 (#18)
- Mistral Small 3.1: —

| Benchmark | Gemini 3.7 Flash | Mistral Small 3.1 |
|---|---|---|
| APEX-Agents | 67.8% | — |
| Remote Labor Index | 5% | — |
| GDP.pdf | 23.8% | — |

## Reasoning

- Gemini 3.7 Flash: 70.1 (#12)
- Mistral Small 3.1: 18.9 (#249)

| Benchmark | Gemini 3.7 Flash | Mistral Small 3.1 |
|---|---|---|
| Chess Puzzles | 47% | 1% |
| LMArena Hard Prompts | 1497 | 1278 |
| Epoch Capabilities Index | 157.72 | 127.48 |
| ARC-AGI-2 | 84.6% | — |
| NYT Connections (extended) | 94% | — |
| ARC-AGI-1 | 95.5% | — |
| CritPt | 14.3% | — |
| Mystery Game Puzzles | 37% | — |
| DTBench | 96.8% | — |
| LMCA | 50.4% | — |

## Math

- Gemini 3.7 Flash: 69.5 (#18)
- Mistral Small 3.1: 13.7 (#295)

| Benchmark | Gemini 3.7 Flash | Mistral Small 3.1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 97.2% | 3.9% |
| LMArena Math | 1511 | 1261 |
| FrontierMath (Tiers 1-3) | 71.6% | — |
| FrontierMath Tier 4 | 36.6% | — |
| ProofBench | 58% | — |
| Omni-MATH | — | 24.8% |

## Knowledge

- Gemini 3.7 Flash: 69.8 (#4)
- Mistral Small 3.1: 22.6 (#266)

| Benchmark | Gemini 3.7 Flash | Mistral Small 3.1 |
|---|---|---|
| GPQA Diamond | 94.8% | 41.9% |
| LMArena Expert | 1508 | 1258 |
| SimpleQA Verified | 69.2% | — |
| MMLU-Pro | — | 61% |
| GPQA (HELM) | — | 39.2% |

## Multimodal

- Gemini 3.7 Flash: 36.9 (#69)
- Mistral Small 3.1: 32.6 (#93)

| Benchmark | Gemini 3.7 Flash | Mistral Small 3.1 |
|---|---|---|
| LMArena Vision | 1314 | 1136 |
| Furniture Assembly | 26.7% | — |

## Multilingual

- Gemini 3.7 Flash: 57.8 (#7)
- Mistral Small 3.1: 41.4 (#204)

| Benchmark | Gemini 3.7 Flash | Mistral Small 3.1 |
|---|---|---|
| LMArena Non-English | 1485 | 1255 |
| LMArena Chinese | 1553 | 1254 |
| LMArena French | 1512 | 1270 |
| LMArena German | 1485 | 1266 |
| LMArena Japanese | 1506 | 1210 |
| LMArena Korean | 1486 | 1206 |
| LMArena Russian | 1519 | 1263 |
| LMArena Spanish | 1507 | 1283 |

## Instruction Following

- Gemini 3.7 Flash: 78.0 (#12)
- Mistral Small 3.1: 63.8 (#225)

| Benchmark | Gemini 3.7 Flash | Mistral Small 3.1 |
|---|---|---|
| LMArena Instruction Following | 1486 | 1264 |
| IFEval | — | 75% |

## Long Context

- Gemini 3.7 Flash: 45.8 (#28)
- Mistral Small 3.1: 39.5 (#172)

| Benchmark | Gemini 3.7 Flash | Mistral Small 3.1 |
|---|---|---|
| LMArena Longer Query | 1493 | 1300 |

## Writing & Preference

- Gemini 3.7 Flash: 71.4 (#19)
- Mistral Small 3.1: 37.2 (#254)

| Benchmark | Gemini 3.7 Flash | Mistral Small 3.1 |
|---|---|---|
| LMArena Text | 1487 | 1278 |
| LMArena Creative Writing | 1490 | 1253 |
| EQ-Bench Creative Writing | 1723 | 761 |
| LMArena Multi-Turn | 1495 | 1270 |
| WildBench | — | 78.8% |

## FAQ

### Is Gemini 3.7 Flash better than Mistral Small 3.1?

Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 31.4 on the Noometry Index. Mistral Small 3.1 costs 3.7× less per token, which makes it the better buy when Gemini 3.7 Flash's lead doesn't matter for your workload.

### Which is cheaper, Gemini 3.7 Flash or Mistral Small 3.1?

Mistral Small 3.1 is cheaper. It lists at $0.35 per million input tokens and $0.56 per million output tokens; Gemini 3.7 Flash lists at $0.75 and $3.75.

### Is Gemini 3.7 Flash or Mistral Small 3.1 better for coding?

Gemini 3.7 Flash scores higher on coding benchmarks: 55.7 versus 37.7 in the Noometry coding category.

### Which has the bigger context window?

Gemini 3.7 Flash does, with 1.05M tokens against 128K.

### How many benchmarks do Gemini 3.7 Flash and Mistral Small 3.1 share?

23 benchmarks have published results for both models. Gemini 3.7 Flash has 44 scored results on Noometry and Mistral Small 3.1 has 28.