# GPT-4 vs Mistral Large 3

> Mistral Large 3 is the stronger model overall, scoring 39.1 to 29.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-4-vs-mistral-large-3
- Last updated: 2026-10-10
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. GPT-4 scores higher in 1 category and Mistral Large 3 in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Mistral Large 3 leads 38.7 to 10.8.
- Mistral Large 3 is cheaper at $0.25 / $0.75 per million input/output tokens, against $30 / $60 for GPT-4.
- Mistral Large 3 accepts more context: 262K tokens versus 8K.
- Mistral Large 3 has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-4 | Mistral Large 3 |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 29.1 | 39.1 |
| Rank | 316 | 176 |
| Context | 8K | 262K |
| Input $/M | $30 | $0.25 |
| Output $/M | $60 | $0.75 |
| Weights | Proprietary | Open |

## Coding

- GPT-4: 31.6 (#283)
- Mistral Large 3: 34.4 (#237)

| Benchmark | GPT-4 | Mistral Large 3 |
|---|---|---|
| LMArena Coding | 1254 | 1448 |
| LMArena WebDev | — | 1230 |
| WeirdML | 12.4% | — |
| BigCodeBench Instruct | 46% | — |
| BigCodeBench Complete | 57.2% | — |
| HumanEval+ | 79.3% | — |

## Agentic & Tool Use

- GPT-4: —
- Mistral Large 3: —

| Benchmark | GPT-4 | Mistral Large 3 |
|---|---|---|
| METR Time Horizons | 36.1% | — |

## Reasoning

- GPT-4: 17.8 (#289)
- Mistral Large 3: 15.2 (#319)

| Benchmark | GPT-4 | Mistral Large 3 |
|---|---|---|
| LMArena Hard Prompts | 1241 | 1429 |
| Kagi LLM Benchmark | — | 50.9% |
| NYT Connections (extended) | — | 7.5% |
| Chess Puzzles | 4% | — |
| Thematic Generalization | — | 23% |
| Mystery Game Puzzles | 12% | — |
| DTBench | 62.7% | — |
| LMCA | 17.1% | — |
| BIG-Bench Hard | 75.1% | — |
| Epoch Capabilities Index | 125.89 | — |
| ForecastBench | 57.8 | — |
| HellaSwag | 95.3% | — |
| WinoGrande | 87.5% | — |

## Math

- GPT-4: 10.8 (#309)
- Mistral Large 3: 38.7 (#129)

| Benchmark | GPT-4 | Mistral Large 3 |
|---|---|---|
| LMArena Math | 1269 | 1414 |
| OTIS Mock AIME 2024-2025 | 1.1% | — |
| MATH Level 5 | 23% | — |
| GSM8K | 92% | — |

## Knowledge

- GPT-4: 18.4 (#282)
- Mistral Large 3: 36.0 (#177)

| Benchmark | GPT-4 | Mistral Large 3 |
|---|---|---|
| LMArena Expert | 1211 | 1421 |
| GPQA Diamond | 35.7% | — |
| Vectara Hallucination Rate | — | 14.5% |
| MMLU | 86.4% | — |
| TriviaQA | 84.8% | — |

## Multimodal

- GPT-4: —
- Mistral Large 3: 38.2 (#66)

| Benchmark | GPT-4 | Mistral Large 3 |
|---|---|---|
| LMArena Vision | — | 1221 |

## Multilingual

- GPT-4: 40.6 (#215)
- Mistral Large 3: 52.5 (#84)

| Benchmark | GPT-4 | Mistral Large 3 |
|---|---|---|
| LMArena Non-English | 1246 | 1413 |
| LMArena Chinese | 1242 | 1447 |
| LMArena French | 1283 | 1455 |
| LMArena German | 1251 | 1437 |
| LMArena Japanese | 1209 | 1394 |
| LMArena Korean | 1184 | 1384 |
| LMArena Russian | 1251 | 1411 |
| LMArena Spanish | 1261 | 1440 |

## Instruction Following

- GPT-4: 65.3 (#222)
- Mistral Large 3: 74.0 (#108)

| Benchmark | GPT-4 | Mistral Large 3 |
|---|---|---|
| LMArena Instruction Following | 1241 | 1403 |

## Long Context

- GPT-4: 37.7 (#212)
- Mistral Large 3: 43.1 (#105)

| Benchmark | GPT-4 | Mistral Large 3 |
|---|---|---|
| LMArena Longer Query | 1244 | 1413 |

## Writing & Preference

- GPT-4: 34.9 (#268)
- Mistral Large 3: 60.0 (#101)

| Benchmark | GPT-4 | Mistral Large 3 |
|---|---|---|
| LMArena Text | 1263 | 1428 |
| LMArena Creative Writing | 1244 | 1386 |
| EQ-Bench Creative Writing | 752 | 1412 |
| LMArena Multi-Turn | 1257 | 1429 |

## FAQ

### Is GPT-4 better than Mistral Large 3?

Mistral Large 3 is the stronger model overall, scoring 39.1 to 29.1 on the Noometry Index.

### Which is cheaper, GPT-4 or Mistral Large 3?

Mistral Large 3 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; GPT-4 lists at $30 and $60.

### Is GPT-4 or Mistral Large 3 better for coding?

Mistral Large 3 scores higher on coding benchmarks: 34.4 versus 31.6 in the Noometry coding category.

### Which has the bigger context window?

Mistral Large 3 does, with 262K tokens against 8K.

### How many benchmarks do GPT-4 and Mistral Large 3 share?

18 benchmarks have published results for both models. GPT-4 has 38 scored results on Noometry and Mistral Large 3 has 24.