# Mistral Large vs Mistral Large 3

> Mistral Large 3 is the stronger model overall, scoring 39.1 to 31.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/mistral-large-vs-mistral-large-3
- Last updated: 2026-10-10
- Shared benchmarks: 19

## Summary

- They share 19 benchmarks with published results for both. Mistral Large scores higher in 1 category and Mistral Large 3 in 7 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in math, where Mistral Large 3 leads 38.7 to 18.2.
- The biggest single-benchmark swing is Vectara Hallucination Rate: 4.5% for Mistral Large and 14.5% for Mistral Large 3.
- Mistral Large 3 is cheaper at $0.25 / $0.75 per million input/output tokens, against $2 / $6 for Mistral Large.
- Mistral Large 3 accepts more context: 262K tokens versus 131K.

## Snapshot

| | Mistral Large | Mistral Large 3 |
|---|---|---|
| Provider | Mistral AI | Mistral AI |
| Noometry Index | 31.9 | 39.1 |
| Rank | 263 | 176 |
| Context | 131K | 262K |
| Input $/M | $2 | $0.25 |
| Output $/M | $6 | $0.75 |
| Weights | Open | Open |

## Coding

- Mistral Large: 34.3 (#240)
- Mistral Large 3: 34.4 (#237)

| Benchmark | Mistral Large | Mistral Large 3 |
|---|---|---|
| LMArena Coding | 1277 | 1448 |
| LMArena WebDev | — | 1230 |
| SciCode | 36.2% | — |
| BigCodeBench Instruct | 30% | — |
| LiveBench Coding | 47.1% | — |
| BigCodeBench Complete | 38.3% | — |
| ALE-Bench | 264.7 | — |
| HumanEval+ | 62.2% | — |
| MBPP+ | 59.5% | — |

## Agentic & Tool Use

- Mistral Large: 28.6 (#89)
- Mistral Large 3: —

| Benchmark | Mistral Large | Mistral Large 3 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 38.4% | — |

## Reasoning

- Mistral Large: 15.8 (#310)
- Mistral Large 3: 15.2 (#319)

| Benchmark | Mistral Large | Mistral Large 3 |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1429 |
| SimpleBench | 22.5% | — |
| Kagi LLM Benchmark | — | 50.9% |
| NYT Connections (extended) | — | 7.5% |
| CritPt | 0% | — |
| Thematic Generalization | — | 23% |
| LiveBench Reasoning | 43.5% | — |
| DTBench | 65.1% | — |
| LiveBench Data Analysis | 50.1% | — |
| LMCA | 16.7% | — |
| Epoch Capabilities Index | 128.52 | — |
| ForecastBench | 57.1 | — |
| LiveBench | 48.4% | — |

## Math

- Mistral Large: 18.2 (#291)
- Mistral Large 3: 38.7 (#129)

| Benchmark | Mistral Large | Mistral Large 3 |
|---|---|---|
| LMArena Math | 1262 | 1414 |
| OTIS Mock AIME 2024-2025 | 8.5% | — |
| Omni-MATH | 28.1% | — |
| LiveBench Math | 42.5% | — |
| MATH Level 5 | 50.3% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |

## Knowledge

- Mistral Large: 30.1 (#230)
- Mistral Large 3: 36.0 (#177)

| Benchmark | Mistral Large | Mistral Large 3 |
|---|---|---|
| Vectara Hallucination Rate | 4.5% | 14.5% |
| LMArena Expert | 1232 | 1421 |
| GPQA Diamond | 51.3% | — |
| MMLU-Pro | 59.9% | — |
| Confabulations | 21.4% | — |
| GPQA (HELM) | 43.5% | — |
| MMLU | 80% | — |

## Multimodal

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

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

## Multilingual

- Mistral Large: 40.0 (#219)
- Mistral Large 3: 52.5 (#84)

| Benchmark | Mistral Large | Mistral Large 3 |
|---|---|---|
| LMArena Non-English | 1237 | 1413 |
| LMArena Chinese | 1240 | 1447 |
| LMArena French | 1325 | 1455 |
| LMArena German | 1254 | 1437 |
| LMArena Japanese | 1188 | 1394 |
| LMArena Korean | 1202 | 1384 |
| LMArena Russian | 1257 | 1411 |
| LMArena Spanish | 1268 | 1440 |

## Instruction Following

- Mistral Large: 67.9 (#191)
- Mistral Large 3: 74.0 (#108)

| Benchmark | Mistral Large | Mistral Large 3 |
|---|---|---|
| LMArena Instruction Following | 1249 | 1403 |
| LiveBench Instruction Following | 67.9% | — |
| IFEval | 87.7% | — |

## Long Context

- Mistral Large: 38.3 (#199)
- Mistral Large 3: 43.1 (#105)

| Benchmark | Mistral Large | Mistral Large 3 |
|---|---|---|
| LMArena Longer Query | 1261 | 1413 |

## Writing & Preference

- Mistral Large: 40.7 (#242)
- Mistral Large 3: 60.0 (#101)

| Benchmark | Mistral Large | Mistral Large 3 |
|---|---|---|
| LMArena Text | 1266 | 1428 |
| LMArena Creative Writing | 1243 | 1386 |
| EQ-Bench Creative Writing | 985 | 1412 |
| LMArena Multi-Turn | 1260 | 1429 |
| Short-Story Creative Writing | 69% | — |
| WildBench | 80.1% | — |
| LiveBench Language | 39.4% | — |

## FAQ

### Is Mistral Large better than Mistral Large 3?

Mistral Large 3 is the stronger model overall, scoring 39.1 to 31.9 on the Noometry Index.

### Which is cheaper, Mistral Large 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; Mistral Large lists at $2 and $6.

### Is Mistral Large or Mistral Large 3 better for coding?

They score almost the same on coding (34.3 vs 34.4); test both on your own repository before choosing.

### Which has the bigger context window?

Mistral Large 3 does, with 262K tokens against 131K.

### How many benchmarks do Mistral Large and Mistral Large 3 share?

19 benchmarks have published results for both models. Mistral Large has 51 scored results on Noometry and Mistral Large 3 has 24.