# Llama 3.1-70B vs Mistral Small 3.1

> Mistral Small 3.1 is the stronger model overall, scoring 31.7 to 29.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-3-1-70b-vs-mistral-small-3-1
- Last updated: 2026-10-10
- Shared benchmarks: 26

## Summary

- They share 26 benchmarks with published results for both. Llama 3.1-70B scores higher in 3 categories and Mistral Small 3.1 in 5 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in coding, where Mistral Small 3.1 leads 38.3 to 30.3.
- The biggest single-benchmark swing is IFEval: 82.1% for Llama 3.1-70B and 75% for Mistral Small 3.1.
- Both cost about the same: $0.40 input and $0.40 output per million tokens.

## Snapshot

| | Llama 3.1-70B | Mistral Small 3.1 |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 29.6 | 31.7 |
| Rank | 308 | 269 |
| Context | 128K | 128K |
| Input $/M | $0.40 | $0.35 |
| Output $/M | $0.40 | $0.56 |
| Weights | Open | Open |

## Coding

- Llama 3.1-70B: 30.3 (#296)
- Mistral Small 3.1: 38.3 (#179)

| Benchmark | Llama 3.1-70B | Mistral Small 3.1 |
|---|---|---|
| LMArena Coding | 1260 | 1309 |
| WeirdML | 9% | — |
| BigCodeBench Instruct | 46.1% | — |
| BigCodeBench Complete | 54.8% | — |

## Agentic & Tool Use

- Llama 3.1-70B: 25.1 (#112)
- Mistral Small 3.1: —

| Benchmark | Llama 3.1-70B | Mistral Small 3.1 |
|---|---|---|
| TheAgentCompany | 6.9% | — |
| BALROG | 27.9% | — |

## Reasoning

- Llama 3.1-70B: 21.6 (#220)
- Mistral Small 3.1: 19.7 (#254)

| Benchmark | Llama 3.1-70B | Mistral Small 3.1 |
|---|---|---|
| LMArena Hard Prompts | 1241 | 1278 |
| Epoch Capabilities Index | 125.92 | 127.48 |
| Chess Puzzles | — | 1% |
| DTBench | 60% | — |
| LMCA | 14.8% | — |

## Math

- Llama 3.1-70B: 13.5 (#304)
- Mistral Small 3.1: 14.7 (#301)

| Benchmark | Llama 3.1-70B | Mistral Small 3.1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 3.6% | 3.9% |
| Omni-MATH | 21% | 24.8% |
| LMArena Math | 1252 | 1262 |
| MATH Level 5 | 36.7% | — |

## Knowledge

- Llama 3.1-70B: 24.2 (#269)
- Mistral Small 3.1: 22.6 (#271)

| Benchmark | Llama 3.1-70B | Mistral Small 3.1 |
|---|---|---|
| GPQA Diamond | 44.2% | 41.9% |
| MMLU-Pro | 65.3% | 61% |
| GPQA (HELM) | 42.6% | 39.2% |
| LMArena Expert | 1209 | 1257 |
| MMLU | 80.1% | — |

## Multimodal

- Llama 3.1-70B: —
- Mistral Small 3.1: 33.2 (#99)

| Benchmark | Llama 3.1-70B | Mistral Small 3.1 |
|---|---|---|
| LMArena Vision | — | 1136 |

## Multilingual

- Llama 3.1-70B: 38.8 (#225)
- Mistral Small 3.1: 41.2 (#209)

| Benchmark | Llama 3.1-70B | Mistral Small 3.1 |
|---|---|---|
| LMArena Non-English | 1219 | 1255 |
| LMArena Chinese | 1215 | 1253 |
| LMArena French | 1261 | 1273 |
| LMArena German | 1222 | 1266 |
| LMArena Japanese | 1132 | 1208 |
| LMArena Korean | 1140 | 1206 |
| LMArena Russian | 1234 | 1263 |
| LMArena Spanish | 1253 | 1283 |

## Instruction Following

- Llama 3.1-70B: 65.3 (#223)
- Mistral Small 3.1: 63.6 (#230)

| Benchmark | Llama 3.1-70B | Mistral Small 3.1 |
|---|---|---|
| IFEval | 82.1% | 75% |
| LMArena Instruction Following | 1231 | 1264 |

## Long Context

- Llama 3.1-70B: 37.6 (#214)
- Mistral Small 3.1: 39.5 (#178)

| Benchmark | Llama 3.1-70B | Mistral Small 3.1 |
|---|---|---|
| LMArena Longer Query | 1241 | 1299 |

## Writing & Preference

- Llama 3.1-70B: 35.4 (#267)
- Mistral Small 3.1: 37.0 (#259)

| Benchmark | Llama 3.1-70B | Mistral Small 3.1 |
|---|---|---|
| LMArena Text | 1261 | 1277 |
| LMArena Creative Writing | 1232 | 1253 |
| EQ-Bench Creative Writing | 784 | 761 |
| WildBench | 75.8% | 78.8% |
| LMArena Multi-Turn | 1256 | 1270 |

## FAQ

### Is Llama 3.1-70B better than Mistral Small 3.1?

Mistral Small 3.1 is the stronger model overall, scoring 31.7 to 29.6 on the Noometry Index.

### Which is cheaper, Llama 3.1-70B or Mistral Small 3.1?

Llama 3.1-70B is cheaper. It lists at $0.40 per million input tokens and $0.40 per million output tokens; Mistral Small 3.1 lists at $0.35 and $0.56.

### Is Llama 3.1-70B or Mistral Small 3.1 better for coding?

Mistral Small 3.1 scores higher on coding benchmarks: 38.3 versus 30.3 in the Noometry coding category.

### Which has the bigger context window?

Both accept 128K tokens.

### How many benchmarks do Llama 3.1-70B and Mistral Small 3.1 share?

26 benchmarks have published results for both models. Llama 3.1-70B has 35 scored results on Noometry and Mistral Small 3.1 has 28.