# Llama 3.1-8B vs Mistral 7B

> Llama 3.1-8B and Mistral 7B score almost the same on the Noometry Index (23.0 vs 23.0), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/llama-3-1-8b-vs-mistral-7b
- Last updated: 2026-10-10
- Shared benchmarks: 30

## Summary

- They share 30 benchmarks with published results for both. Llama 3.1-8B scores higher in 6 categories and Mistral 7B in 2 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Llama 3.1-8B leads 34.0 to 25.8.
- The biggest single-benchmark swing is MATH Level 5: 22.9% for Llama 3.1-8B and 3.7% for Mistral 7B.
- Llama 3.1-8B is cheaper at $0.05 / $0.08 per million input/output tokens, against $0.25 / $0.25 for Mistral 7B.
- Llama 3.1-8B accepts more context: 128K tokens versus 8K.

## Snapshot

| | Llama 3.1-8B | Mistral 7B |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 23.0 | 23.0 |
| Rank | 352 | 351 |
| Context | 128K | 8K |
| Input $/M | $0.05 | $0.25 |
| Output $/M | $0.08 | $0.25 |
| Weights | Open | Open |

## Coding

- Llama 3.1-8B: 20.2 (#340)
- Mistral 7B: 26.4 (#326)

| Benchmark | Llama 3.1-8B | Mistral 7B |
|---|---|---|
| BigCodeBench Instruct | 32.8% | 19.5% |
| LMArena Coding | 1195 | 1082 |
| BigCodeBench Complete | 40.5% | 27.3% |
| HumanEval+ | 62.8% | 36% |
| MBPP+ | 55.6% | 42.1% |
| SciCode | 13.2% | — |
| WeirdML | 1.7% | — |

## Agentic & Tool Use

- Llama 3.1-8B: 22.5 (#131)
- Mistral 7B: —

| Benchmark | Llama 3.1-8B | Mistral 7B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 25.8% | — |
| BALROG | 15.1% | — |

## Reasoning

- Llama 3.1-8B: 14.9 (#321)
- Mistral 7B: 13.1 (#336)

| Benchmark | Llama 3.1-8B | Mistral 7B |
|---|---|---|
| Chess Puzzles | 0% | 0% |
| LMArena Hard Prompts | 1175 | 1067 |
| DTBench | 50.9% | 42.5% |
| Epoch Capabilities Index | 116.57 | 112.21 |
| PIQA | 81.2% | 83% |
| CritPt | 0% | — |
| LMCA | 5.4% | — |
| Adversarial NLI | — | 47.1% |
| BIG-Bench Hard | — | 56.1% |
| HellaSwag | — | 81% |
| WinoGrande | — | 75.3% |

## Math

- Llama 3.1-8B: 10.2 (#317)
- Mistral 7B: 8.1 (#325)

| Benchmark | Llama 3.1-8B | Mistral 7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.7% | 0.3% |
| LMArena Math | 1179 | 1085 |
| MATH Level 5 | 22.9% | 3.7% |
| GSM8K | 82.4% | 54.4% |
| Omni-MATH | 13.7% | — |

## Knowledge

- Llama 3.1-8B: 8.0 (#307)
- Mistral 7B: 7.4 (#311)

| Benchmark | Llama 3.1-8B | Mistral 7B |
|---|---|---|
| GPQA Diamond | 27% | 15.2% |
| LMArena Expert | 1144 | 1036 |
| BoolQ | 82.8% | 87.4% |
| MMLU | 56.1% | 62.5% |
| MMLU-Pro | 40.6% | — |
| GPQA (HELM) | 24.7% | — |
| ARC (AI2) Challenge | — | 78.6% |
| OpenBookQA | — | 79.8% |
| TriviaQA | — | 75.2% |

## Multilingual

- Llama 3.1-8B: 34.0 (#249)
- Mistral 7B: 25.8 (#283)

| Benchmark | Llama 3.1-8B | Mistral 7B |
|---|---|---|
| LMArena Non-English | 1148 | 1012 |
| LMArena Chinese | 1151 | 1009 |
| LMArena French | 1177 | 1037 |
| LMArena German | 1144 | 987 |
| LMArena Japanese | 1061 | 878 |
| LMArena Russian | 1158 | 1018 |
| LMArena Spanish | 1169 | 1026 |
| LMArena Korean | 1053 | — |

## Instruction Following

- Llama 3.1-8B: 58.9 (#258)
- Mistral 7B: 54.2 (#280)

| Benchmark | Llama 3.1-8B | Mistral 7B |
|---|---|---|
| LMArena Instruction Following | 1159 | 1060 |
| IFEval | 74.3% | — |

## Long Context

- Llama 3.1-8B: 35.8 (#238)
- Mistral 7B: 32.2 (#271)

| Benchmark | Llama 3.1-8B | Mistral 7B |
|---|---|---|
| LMArena Longer Query | 1182 | 1060 |

## Writing & Preference

- Llama 3.1-8B: 29.7 (#290)
- Mistral 7B: 30.7 (#286)

| Benchmark | Llama 3.1-8B | Mistral 7B |
|---|---|---|
| LMArena Text | 1187 | 1090 |
| LMArena Creative Writing | 1154 | 1068 |
| LMArena Multi-Turn | 1172 | 1062 |
| EQ-Bench Creative Writing | 713 | — |
| WildBench | 68.7% | — |

## FAQ

### Is Llama 3.1-8B better than Mistral 7B?

Llama 3.1-8B and Mistral 7B score almost the same on the Noometry Index (23.0 vs 23.0), so choose on price, context window or the category you care about most.

### Which is cheaper, Llama 3.1-8B or Mistral 7B?

Llama 3.1-8B is cheaper. It lists at $0.05 per million input tokens and $0.08 per million output tokens; Mistral 7B lists at $0.25 and $0.25.

### Is Llama 3.1-8B or Mistral 7B better for coding?

Mistral 7B scores higher on coding benchmarks: 26.4 versus 20.2 in the Noometry coding category.

### Which has the bigger context window?

Llama 3.1-8B does, with 128K tokens against 8K.

### How many benchmarks do Llama 3.1-8B and Mistral 7B share?

30 benchmarks have published results for both models. Llama 3.1-8B has 43 scored results on Noometry and Mistral 7B has 37.