# Llama 3.1-405B vs Mistral Large 3

> Mistral Large 3 is the stronger model overall, scoring 39.1 to 30.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-3-1-405b-vs-mistral-large-3
- Last updated: 2026-10-12
- Shared benchmarks: 19

## Summary

- They share 19 benchmarks with published results for both. Llama 3.1-405B scores higher in 1 category and Mistral Large 3 in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral Large 3 leads 60.0 to 38.9.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 45% for Llama 3.1-405B and 50.9% for Mistral Large 3.

## Snapshot

| | Llama 3.1-405B | Mistral Large 3 |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 30.7 | 39.1 |
| Rank | 288 | 176 |
| Context | — | 262K |
| Input $/M | — | $0.25 |
| Output $/M | — | $0.75 |
| Weights | Open | Open |

## Coding

- Llama 3.1-405B: 33.1 (#262)
- Mistral Large 3: 34.4 (#237)

| Benchmark | Llama 3.1-405B | Mistral Large 3 |
|---|---|---|
| LMArena Coding | 1291 | 1448 |
| LMArena WebDev | — | 1230 |
| WeirdML | 21.4% | — |

## Agentic & Tool Use

- Llama 3.1-405B: 21.0 (#140)
- Mistral Large 3: —

| Benchmark | Llama 3.1-405B | Mistral Large 3 |
|---|---|---|
| TheAgentCompany | 7.4% | — |
| Cybench | 7.5% | — |

## Reasoning

- Llama 3.1-405B: 16.8 (#300)
- Mistral Large 3: 15.2 (#319)

| Benchmark | Llama 3.1-405B | Mistral Large 3 |
|---|---|---|
| Kagi LLM Benchmark | 45% | 50.9% |
| LMArena Hard Prompts | 1269 | 1429 |
| SimpleBench | 23% | — |
| NYT Connections (extended) | — | 7.5% |
| Thematic Generalization | — | 23% |
| DTBench | 61.4% | — |
| BIG-Bench Hard | 82.9% | — |
| Epoch Capabilities Index | 128.75 | — |
| ForecastBench | 59.9 | — |
| HellaSwag | 89.2% | — |
| PIQA | 85.9% | — |
| WinoGrande | 89.2% | — |

## Math

- Llama 3.1-405B: 18.4 (#290)
- Mistral Large 3: 38.7 (#129)

| Benchmark | Llama 3.1-405B | Mistral Large 3 |
|---|---|---|
| LMArena Math | 1281 | 1414 |
| OTIS Mock AIME 2024-2025 | 9.7% | — |
| Omni-MATH | 24.9% | — |
| MATH Level 5 | 49.8% | — |

## Knowledge

- Llama 3.1-405B: 30.4 (#227)
- Mistral Large 3: 36.0 (#177)

| Benchmark | Llama 3.1-405B | Mistral Large 3 |
|---|---|---|
| LMArena Expert | 1243 | 1421 |
| GPQA Diamond | 50.9% | — |
| MMLU-Pro | 72.3% | — |
| Confabulations | 17.6% | — |
| Vectara Hallucination Rate | — | 14.5% |
| GPQA (HELM) | 52.2% | — |
| ARC (AI2) Challenge | 95.3% | — |
| MMLU | 84.5% | — |
| TriviaQA | 82.7% | — |

## Multimodal

- Llama 3.1-405B: —
- Mistral Large 3: 38.2 (#66)

| Benchmark | Llama 3.1-405B | Mistral Large 3 |
|---|---|---|
| LMArena Vision | — | 1221 |

## Multilingual

- Llama 3.1-405B: 40.7 (#214)
- Mistral Large 3: 52.5 (#84)

| Benchmark | Llama 3.1-405B | Mistral Large 3 |
|---|---|---|
| LMArena Non-English | 1248 | 1413 |
| LMArena Chinese | 1242 | 1447 |
| LMArena French | 1279 | 1455 |
| LMArena German | 1252 | 1437 |
| LMArena Japanese | 1208 | 1394 |
| LMArena Korean | 1184 | 1384 |
| LMArena Russian | 1265 | 1411 |
| LMArena Spanish | 1260 | 1440 |

## Instruction Following

- Llama 3.1-405B: 65.9 (#214)
- Mistral Large 3: 74.0 (#108)

| Benchmark | Llama 3.1-405B | Mistral Large 3 |
|---|---|---|
| LMArena Instruction Following | 1259 | 1403 |
| IFEval | 81.1% | — |

## Long Context

- Llama 3.1-405B: 38.4 (#197)
- Mistral Large 3: 43.1 (#105)

| Benchmark | Llama 3.1-405B | Mistral Large 3 |
|---|---|---|
| LMArena Longer Query | 1266 | 1413 |

## Writing & Preference

- Llama 3.1-405B: 38.9 (#251)
- Mistral Large 3: 60.0 (#101)

| Benchmark | Llama 3.1-405B | Mistral Large 3 |
|---|---|---|
| LMArena Text | 1284 | 1428 |
| LMArena Creative Writing | 1262 | 1386 |
| EQ-Bench Creative Writing | 870 | 1412 |
| LMArena Multi-Turn | 1297 | 1429 |
| WildBench | 78.3% | — |

## FAQ

### Is Llama 3.1-405B better than Mistral Large 3?

Mistral Large 3 is the stronger model overall, scoring 39.1 to 30.7 on the Noometry Index.

### Is Llama 3.1-405B or Mistral Large 3 better for coding?

Mistral Large 3 scores higher on coding benchmarks: 34.4 versus 33.1 in the Noometry coding category.

### How many benchmarks do Llama 3.1-405B and Mistral Large 3 share?

19 benchmarks have published results for both models. Llama 3.1-405B has 42 scored results on Noometry and Mistral Large 3 has 24.