# GPT-4 vs Mistral Small 3.2

> Mistral Small 3.2 is the stronger model overall, scoring 30.8 to 28.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-4-vs-mistral-small-3-2
- Last updated: 2026-10-10
- Shared benchmarks: 5

## Summary

- They share 5 benchmarks with published results for both. GPT-4 scores higher in 0 categories and Mistral Small 3.2 in 4 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where Mistral Small 3.2 leads 24.9 to 10.1.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 1.1% for GPT-4 and 30.3% for Mistral Small 3.2.
- Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $30 / $60 for GPT-4.
- Mistral Small 3.2 accepts more context: 256K tokens versus 8K.
- Mistral Small 3.2 has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-4 | Mistral Small 3.2 |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 28.9 | 30.8 |
| Rank | 308 | 271 |
| Context | 8K | 256K |
| Input $/M | $30 | $0.0938 |
| Output $/M | $60 | $0.25 |
| Weights | Proprietary | Open |

## Coding

- GPT-4: 31.2 (#277)
- Mistral Small 3.2: —

| Benchmark | GPT-4 | Mistral Small 3.2 |
|---|---|---|
| WeirdML | 12.4% | — |
| BigCodeBench Instruct | 46% | — |
| LMArena Coding | 1254 | — |
| BigCodeBench Complete | 57.2% | — |
| HumanEval+ | 79.3% | — |

## Agentic & Tool Use

- GPT-4: —
- Mistral Small 3.2: —

| Benchmark | GPT-4 | Mistral Small 3.2 |
|---|---|---|
| METR Time Horizons | 36.1% | — |

## Reasoning

- GPT-4: 17.3 (#285)
- Mistral Small 3.2: 17.5 (#282)

| Benchmark | GPT-4 | Mistral Small 3.2 |
|---|---|---|
| Chess Puzzles | 4% | 1% |
| Epoch Capabilities Index | 125.88 | 131.73 |
| Kagi LLM Benchmark | — | 40.4% |
| LMArena Hard Prompts | 1241 | — |
| 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 3.2: 24.9 (#251)

| Benchmark | GPT-4 | Mistral Small 3.2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.1% | 30.3% |
| LMArena Math | 1269 | — |
| MATH Level 5 | 23% | — |
| GSM8K | 92% | — |

## Knowledge

- GPT-4: 18.4 (#277)
- Mistral Small 3.2: 26.8 (#249)

| Benchmark | GPT-4 | Mistral Small 3.2 |
|---|---|---|
| GPQA Diamond | 35.7% | 49.1% |
| LMArena Expert | 1211 | — |
| MMLU | 86.4% | — |
| TriviaQA | 84.8% | — |

## Multilingual

- GPT-4: 40.8 (#210)
- Mistral Small 3.2: —

| Benchmark | GPT-4 | Mistral Small 3.2 |
|---|---|---|
| LMArena Non-English | 1246 | — |
| LMArena Chinese | 1242 | — |
| LMArena French | 1282 | — |
| LMArena German | 1251 | — |
| LMArena Japanese | 1209 | — |
| LMArena Korean | 1184 | — |
| LMArena Russian | 1251 | — |
| LMArena Spanish | 1261 | — |

## Instruction Following

- GPT-4: 65.5 (#217)
- Mistral Small 3.2: —

| Benchmark | GPT-4 | Mistral Small 3.2 |
|---|---|---|
| LMArena Instruction Following | 1241 | — |

## Long Context

- GPT-4: 37.7 (#207)
- Mistral Small 3.2: —

| Benchmark | GPT-4 | Mistral Small 3.2 |
|---|---|---|
| LMArena Longer Query | 1244 | — |

## Writing & Preference

- GPT-4: 35.0 (#263)
- Mistral Small 3.2: 45.1 (#219)

| Benchmark | GPT-4 | Mistral Small 3.2 |
|---|---|---|
| EQ-Bench Creative Writing | 752 | 1255 |
| LMArena Text | 1263 | — |
| LMArena Creative Writing | 1244 | — |
| LMArena Multi-Turn | 1257 | — |

## FAQ

### Is GPT-4 better than Mistral Small 3.2?

Mistral Small 3.2 is the stronger model overall, scoring 30.8 to 28.9 on the Noometry Index.

### Which is cheaper, GPT-4 or Mistral Small 3.2?

Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; GPT-4 lists at $30 and $60.

### Which has the bigger context window?

Mistral Small 3.2 does, with 256K tokens against 8K.

### How many benchmarks do GPT-4 and Mistral Small 3.2 share?

5 benchmarks have published results for both models. GPT-4 has 38 scored results on Noometry and Mistral Small 3.2 has 6.