# Llama 3.1-8B vs Pixtral Large

> Pixtral Large is the stronger model overall, scoring 32.2 to 23.0 on the Noometry Index. Llama 3.1-8B costs 52× less per token, which makes it the better buy when Pixtral Large's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/llama-3-1-8b-vs-pixtral-large
- Last updated: 2026-10-11
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. Llama 3.1-8B scores higher in 0 categories and Pixtral Large in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Pixtral Large leads 21.7 to 14.9.
- Llama 3.1-8B is cheaper at $0.05 / $0.08 per million input/output tokens, against $2 / $6 for Pixtral Large.

## Snapshot

| | Llama 3.1-8B | Pixtral Large |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 23.0 | 32.2 |
| Rank | 352 | 259 |
| Context | 128K | 128K |
| Input $/M | $0.05 | $2 |
| Output $/M | $0.08 | $6 |
| Weights | Open | Open |

## Coding

- Llama 3.1-8B: 20.2 (#340)
- Pixtral Large: —

| Benchmark | Llama 3.1-8B | Pixtral Large |
|---|---|---|
| SciCode | 13.2% | — |
| WeirdML | 1.7% | — |
| BigCodeBench Instruct | 32.8% | — |
| LMArena Coding | 1195 | — |
| BigCodeBench Complete | 40.5% | — |
| HumanEval+ | 62.8% | — |
| MBPP+ | 55.6% | — |

## Agentic & Tool Use

- Llama 3.1-8B: 22.5 (#131)
- Pixtral Large: —

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

## Reasoning

- Llama 3.1-8B: 14.9 (#321)
- Pixtral Large: 21.7 (#218)

| Benchmark | Llama 3.1-8B | Pixtral Large |
|---|---|---|
| CritPt | 0% | — |
| Chess Puzzles | 0% | — |
| EnigmaEval | — | 0.8% |
| LMArena Hard Prompts | 1175 | — |
| DTBench | 50.9% | — |
| LMCA | 5.4% | — |
| Epoch Capabilities Index | 116.57 | — |
| PIQA | 81.2% | — |

## Math

- Llama 3.1-8B: 10.2 (#317)
- Pixtral Large: —

| Benchmark | Llama 3.1-8B | Pixtral Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.7% | — |
| Omni-MATH | 13.7% | — |
| LMArena Math | 1179 | — |
| MATH Level 5 | 22.9% | — |
| GSM8K | 82.4% | — |

## Knowledge

- Llama 3.1-8B: 8.0 (#307)
- Pixtral Large: —

| Benchmark | Llama 3.1-8B | Pixtral Large |
|---|---|---|
| GPQA Diamond | 27% | — |
| MMLU-Pro | 40.6% | — |
| GPQA (HELM) | 24.7% | — |
| LMArena Expert | 1144 | — |
| BoolQ | 82.8% | — |
| MMLU | 56.1% | — |

## Multimodal

- Llama 3.1-8B: —
- Pixtral Large: 30.6 (#111)

| Benchmark | Llama 3.1-8B | Pixtral Large |
|---|---|---|
| LMArena Vision | — | 1089 |

## Multilingual

- Llama 3.1-8B: 34.0 (#249)
- Pixtral Large: —

| Benchmark | Llama 3.1-8B | Pixtral Large |
|---|---|---|
| LMArena Non-English | 1148 | — |
| LMArena Chinese | 1151 | — |
| LMArena French | 1177 | — |
| LMArena German | 1144 | — |
| LMArena Japanese | 1061 | — |
| LMArena Korean | 1053 | — |
| LMArena Russian | 1158 | — |
| LMArena Spanish | 1169 | — |

## Instruction Following

- Llama 3.1-8B: 58.9 (#258)
- Pixtral Large: —

| Benchmark | Llama 3.1-8B | Pixtral Large |
|---|---|---|
| IFEval | 74.3% | — |
| LMArena Instruction Following | 1159 | — |

## Long Context

- Llama 3.1-8B: 35.8 (#238)
- Pixtral Large: —

| Benchmark | Llama 3.1-8B | Pixtral Large |
|---|---|---|
| LMArena Longer Query | 1182 | — |

## Writing & Preference

- Llama 3.1-8B: 29.7 (#290)
- Pixtral Large: 32.9 (#278)

| Benchmark | Llama 3.1-8B | Pixtral Large |
|---|---|---|
| EQ-Bench Creative Writing | 713 | 988 |
| LMArena Text | 1187 | — |
| LMArena Creative Writing | 1154 | — |
| WildBench | 68.7% | — |
| LMArena Multi-Turn | 1172 | — |

## FAQ

### Is Llama 3.1-8B better than Pixtral Large?

Pixtral Large is the stronger model overall, scoring 32.2 to 23.0 on the Noometry Index. Llama 3.1-8B costs 52× less per token, which makes it the better buy when Pixtral Large's lead doesn't matter for your workload.

### Which is cheaper, Llama 3.1-8B or Pixtral Large?

Llama 3.1-8B is cheaper. It lists at $0.05 per million input tokens and $0.08 per million output tokens; Pixtral Large lists at $2 and $6.

### Which has the bigger context window?

Both accept 128K tokens.

### How many benchmarks do Llama 3.1-8B and Pixtral Large share?

1 benchmark has published results for both models. Llama 3.1-8B has 43 scored results on Noometry and Pixtral Large has 3.