# GPT-4 vs Mistral Small 3.1

> Mistral Small 3.1 is the stronger model overall, scoring 31.4 to 28.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-4-vs-mistral-small-3-1
- Last updated: 2026-10-10
- Shared benchmarks: 22

## Summary

- They share 22 benchmarks with published results for both. GPT-4 scores higher in 1 category and Mistral Small 3.1 in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in coding, where Mistral Small 3.1 leads 37.7 to 31.2.
- The biggest single-benchmark swing is GPQA Diamond: 35.7% for GPT-4 and 41.9% for Mistral Small 3.1.
- Mistral Small 3.1 is cheaper at $0.35 / $0.56 per million input/output tokens, against $30 / $60 for GPT-4.
- Mistral Small 3.1 accepts more context: 128K tokens versus 8K.
- Mistral Small 3.1 has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-4 | Mistral Small 3.1 |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 28.9 | 31.4 |
| Rank | 308 | 263 |
| Context | 8K | 128K |
| Input $/M | $30 | $0.35 |
| Output $/M | $60 | $0.56 |
| Weights | Proprietary | Open |

## Coding

- GPT-4: 31.2 (#277)
- Mistral Small 3.1: 37.7 (#175)

| Benchmark | GPT-4 | Mistral Small 3.1 |
|---|---|---|
| LMArena Coding | 1254 | 1309 |
| WeirdML | 12.4% | — |
| BigCodeBench Instruct | 46% | — |
| BigCodeBench Complete | 57.2% | — |
| HumanEval+ | 79.3% | — |

## Agentic & Tool Use

- GPT-4: —
- Mistral Small 3.1: —

| Benchmark | GPT-4 | Mistral Small 3.1 |
|---|---|---|
| METR Time Horizons | 36.1% | — |

## Reasoning

- GPT-4: 17.3 (#285)
- Mistral Small 3.1: 18.9 (#249)

| Benchmark | GPT-4 | Mistral Small 3.1 |
|---|---|---|
| Chess Puzzles | 4% | 1% |
| LMArena Hard Prompts | 1241 | 1278 |
| Epoch Capabilities Index | 125.88 | 127.48 |
| Mystery Game Puzzles | 12% | — |
| DTBench | 62.7% | — |
| LMCA | 17.1% | — |
| BIG-Bench Hard | 75.1% | — |
| ForecastBench | 57.8 | — |
| HellaSwag | 95.3% | — |
| WinoGrande | 87.5% | — |

## Math

- GPT-4: 10.1 (#304)
- Mistral Small 3.1: 13.7 (#295)

| Benchmark | GPT-4 | Mistral Small 3.1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.1% | 3.9% |
| LMArena Math | 1269 | 1261 |
| Omni-MATH | — | 24.8% |
| MATH Level 5 | 23% | — |
| GSM8K | 92% | — |

## Knowledge

- GPT-4: 18.4 (#277)
- Mistral Small 3.1: 22.6 (#266)

| Benchmark | GPT-4 | Mistral Small 3.1 |
|---|---|---|
| GPQA Diamond | 35.7% | 41.9% |
| LMArena Expert | 1211 | 1258 |
| MMLU-Pro | — | 61% |
| GPQA (HELM) | — | 39.2% |
| MMLU | 86.4% | — |
| TriviaQA | 84.8% | — |

## Multimodal

- GPT-4: —
- Mistral Small 3.1: 32.6 (#93)

| Benchmark | GPT-4 | Mistral Small 3.1 |
|---|---|---|
| LMArena Vision | — | 1136 |

## Multilingual

- GPT-4: 40.8 (#210)
- Mistral Small 3.1: 41.4 (#204)

| Benchmark | GPT-4 | Mistral Small 3.1 |
|---|---|---|
| LMArena Non-English | 1246 | 1255 |
| LMArena Chinese | 1242 | 1254 |
| LMArena French | 1282 | 1270 |
| LMArena German | 1251 | 1266 |
| LMArena Japanese | 1209 | 1210 |
| LMArena Korean | 1184 | 1206 |
| LMArena Russian | 1251 | 1263 |
| LMArena Spanish | 1261 | 1283 |

## Instruction Following

- GPT-4: 65.5 (#217)
- Mistral Small 3.1: 63.8 (#225)

| Benchmark | GPT-4 | Mistral Small 3.1 |
|---|---|---|
| LMArena Instruction Following | 1241 | 1264 |
| IFEval | — | 75% |

## Long Context

- GPT-4: 37.7 (#207)
- Mistral Small 3.1: 39.5 (#172)

| Benchmark | GPT-4 | Mistral Small 3.1 |
|---|---|---|
| LMArena Longer Query | 1244 | 1300 |

## Writing & Preference

- GPT-4: 35.0 (#263)
- Mistral Small 3.1: 37.2 (#254)

| Benchmark | GPT-4 | Mistral Small 3.1 |
|---|---|---|
| LMArena Text | 1263 | 1278 |
| LMArena Creative Writing | 1244 | 1253 |
| EQ-Bench Creative Writing | 752 | 761 |
| LMArena Multi-Turn | 1257 | 1270 |
| WildBench | — | 78.8% |

## FAQ

### Is GPT-4 better than Mistral Small 3.1?

Mistral Small 3.1 is the stronger model overall, scoring 31.4 to 28.9 on the Noometry Index.

### Which is cheaper, GPT-4 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; GPT-4 lists at $30 and $60.

### Is GPT-4 or Mistral Small 3.1 better for coding?

Mistral Small 3.1 scores higher on coding benchmarks: 37.7 versus 31.2 in the Noometry coding category.

### Which has the bigger context window?

Mistral Small 3.1 does, with 128K tokens against 8K.

### How many benchmarks do GPT-4 and Mistral Small 3.1 share?

22 benchmarks have published results for both models. GPT-4 has 38 scored results on Noometry and Mistral Small 3.1 has 28.