# Llama 3.1-405B vs Mistral Small

> Mistral Small is the stronger model overall, scoring 33.1 to 30.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-3-1-405b-vs-mistral-small
- Last updated: 2026-10-10
- Shared benchmarks: 23

## Summary

- They share 23 benchmarks with published results for both. Llama 3.1-405B scores higher in 1 category and Mistral Small in 8 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral Small leads 52.6 to 39.1.
- The biggest single-benchmark swing is DTBench: 61.4% for Llama 3.1-405B and 70.9% for Mistral Small.

## Snapshot

| | Llama 3.1-405B | Mistral Small |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 30.4 | 33.1 |
| Rank | 279 | 238 |
| Context | — | 256K |
| Input $/M | — | $0.15 |
| Output $/M | — | $0.60 |
| Weights | Open | Open |

## Coding

- Llama 3.1-405B: 32.7 (#257)
- Mistral Small: 33.5 (#242)

| Benchmark | Llama 3.1-405B | Mistral Small |
|---|---|---|
| LMArena Coding | 1291 | 1363 |
| SciCode | — | 26.5% |
| WeirdML | 21.4% | — |
| BigCodeBench Instruct | — | 36.1% |
| LiveBench Coding | — | 36.2% |
| BigCodeBench Complete | — | 46.6% |
| ALE-Bench | — | 497.62 |

## Agentic & Tool Use

- Llama 3.1-405B: 20.9 (#131)
- Mistral Small: 27.9 (#87)

| Benchmark | Llama 3.1-405B | Mistral Small |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.1% |
| TheAgentCompany | 7.4% | — |
| Cybench | 7.5% | — |

## Reasoning

- Llama 3.1-405B: 16.4 (#293)
- Mistral Small: 19.3 (#238)

| Benchmark | Llama 3.1-405B | Mistral Small |
|---|---|---|
| Kagi LLM Benchmark | 45% | 37.8% |
| LMArena Hard Prompts | 1270 | 1336 |
| DTBench | 61.4% | 70.9% |
| SimpleBench | 23% | — |
| CritPt | — | 0% |
| LiveBench Reasoning | — | 44.8% |
| LiveBench Data Analysis | — | 53.7% |
| LMCA | — | 20.6% |
| BIG-Bench Hard | 82.9% | — |
| Epoch Capabilities Index | 128.76 | — |
| ForecastBench | 59.9 | — |
| HellaSwag | 89.2% | — |
| LiveBench | — | 44% |
| PIQA | 85.9% | — |
| WinoGrande | 89.2% | — |

## Math

- Llama 3.1-405B: 17.3 (#283)
- Mistral Small: 15.4 (#287)

| Benchmark | Llama 3.1-405B | Mistral Small |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 9.7% | 5.8% |
| LMArena Math | 1281 | 1341 |
| MATH Level 5 | 49.8% | 46.8% |
| Omni-MATH | 24.9% | — |
| LiveBench Math | — | 39.9% |

## Knowledge

- Llama 3.1-405B: 30.4 (#221)
- Mistral Small: 30.9 (#214)

| Benchmark | Llama 3.1-405B | Mistral Small |
|---|---|---|
| GPQA Diamond | 50.9% | 47.5% |
| LMArena Expert | 1243 | 1293 |
| MMLU | 84.5% | 68.7% |
| MMLU-Pro | 72.3% | — |
| Confabulations | 17.6% | — |
| Vectara Hallucination Rate | — | 5.1% |
| GPQA (HELM) | 52.2% | — |
| ARC (AI2) Challenge | 95.3% | — |
| TriviaQA | 82.7% | — |

## Multimodal

- Llama 3.1-405B: —
- Mistral Small: 32.9 (#91)

| Benchmark | Llama 3.1-405B | Mistral Small |
|---|---|---|
| LMArena Vision | — | 1142 |

## Multilingual

- Llama 3.1-405B: 40.9 (#209)
- Mistral Small: 45.7 (#164)

| Benchmark | Llama 3.1-405B | Mistral Small |
|---|---|---|
| LMArena Non-English | 1248 | 1315 |
| LMArena Chinese | 1242 | 1342 |
| LMArena French | 1278 | 1337 |
| LMArena German | 1252 | 1341 |
| LMArena Japanese | 1208 | 1275 |
| LMArena Korean | 1184 | 1260 |
| LMArena Russian | 1265 | 1324 |
| LMArena Spanish | 1259 | 1346 |

## Instruction Following

- Llama 3.1-405B: 66.1 (#209)
- Mistral Small: 66.6 (#204)

| Benchmark | Llama 3.1-405B | Mistral Small |
|---|---|---|
| LMArena Instruction Following | 1259 | 1310 |
| LiveBench Instruction Following | — | 63.7% |
| IFEval | 81.1% | — |

## Long Context

- Llama 3.1-405B: 38.4 (#192)
- Mistral Small: 40.4 (#151)

| Benchmark | Llama 3.1-405B | Mistral Small |
|---|---|---|
| LMArena Longer Query | 1266 | 1327 |

## Writing & Preference

- Llama 3.1-405B: 39.1 (#246)
- Mistral Small: 52.6 (#165)

| Benchmark | Llama 3.1-405B | Mistral Small |
|---|---|---|
| LMArena Text | 1284 | 1338 |
| LMArena Creative Writing | 1262 | 1304 |
| LMArena Multi-Turn | 1297 | 1344 |
| EQ-Bench Creative Writing | 870 | — |
| WildBench | 78.3% | — |
| LiveBench Language | — | 30.5% |

## FAQ

### Is Llama 3.1-405B better than Mistral Small?

Mistral Small is the stronger model overall, scoring 33.1 to 30.4 on the Noometry Index.

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

They score almost the same on coding (32.7 vs 33.5); test both on your own repository before choosing.

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

23 benchmarks have published results for both models. Llama 3.1-405B has 42 scored results on Noometry and Mistral Small has 39.