# Llama 3.2 1B vs Pixtral Large

> Pixtral Large is the stronger model overall, scoring 31.7 to 19.9 on the Noometry Index. Llama 3.2 1B costs 43× 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-3-2-1b-vs-pixtral-large
- Last updated: 2026-10-10
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. Llama 3.2 1B scores higher in 0 categories and Pixtral Large in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Pixtral Large leads 32.9 to 21.4.
- Llama 3.2 1B is cheaper at $0.027 / $0.20 per million input/output tokens, against $2 / $6 for Pixtral Large.
- Pixtral Large accepts more context: 128K tokens versus 60K.

## Snapshot

| | Llama 3.2 1B | Pixtral Large |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 19.9 | 31.7 |
| Rank | 349 | 257 |
| Context | 60K | 128K |
| Input $/M | $0.027 | $2 |
| Output $/M | $0.20 | $6 |
| Weights | Open | Open |

## Coding

- Llama 3.2 1B: 20.6 (#333)
- Pixtral Large: —

| Benchmark | Llama 3.2 1B | Pixtral Large |
|---|---|---|
| BigCodeBench Instruct | 8.2% | — |
| LMArena Coding | 1071 | — |
| BigCodeBench Complete | 11.3% | — |

## Agentic & Tool Use

- Llama 3.2 1B: 14.5 (#142)
- Pixtral Large: —

| Benchmark | Llama 3.2 1B | Pixtral Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | 10.8% | — |
| BALROG | 6.6% | — |

## Reasoning

- Llama 3.2 1B: 15.6 (#304)
- Pixtral Large: 20.9 (#208)

| Benchmark | Llama 3.2 1B | Pixtral Large |
|---|---|---|
| Chess Puzzles | 0% | — |
| EnigmaEval | — | 0.8% |
| LMArena Hard Prompts | 1044 | — |
| Epoch Capabilities Index | 101.95 | — |

## Math

- Llama 3.2 1B: 9.7 (#308)
- Pixtral Large: —

| Benchmark | Llama 3.2 1B | Pixtral Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.6% | — |
| LMArena Math | 1086 | — |

## Knowledge

- Llama 3.2 1B: 7.2 (#307)
- Pixtral Large: —

| Benchmark | Llama 3.2 1B | Pixtral Large |
|---|---|---|
| GPQA Diamond | 23.9% | — |
| LMArena Expert | 1007 | — |

## Multimodal

- Llama 3.2 1B: —
- Pixtral Large: 30.0 (#105)

| Benchmark | Llama 3.2 1B | Pixtral Large |
|---|---|---|
| LMArena Vision | — | 1089 |

## Multilingual

- Llama 3.2 1B: 23.9 (#287)
- Pixtral Large: —

| Benchmark | Llama 3.2 1B | Pixtral Large |
|---|---|---|
| LMArena Non-English | 973 | — |
| LMArena Chinese | 958 | — |
| LMArena German | 1014 | — |
| LMArena Russian | 941 | — |

## Instruction Following

- Llama 3.2 1B: 52.6 (#285)
- Pixtral Large: —

| Benchmark | Llama 3.2 1B | Pixtral Large |
|---|---|---|
| LMArena Instruction Following | 1031 | — |

## Long Context

- Llama 3.2 1B: 31.9 (#269)
- Pixtral Large: —

| Benchmark | Llama 3.2 1B | Pixtral Large |
|---|---|---|
| LMArena Longer Query | 1050 | — |

## Writing & Preference

- Llama 3.2 1B: 21.4 (#305)
- Pixtral Large: 32.9 (#273)

| Benchmark | Llama 3.2 1B | Pixtral Large |
|---|---|---|
| EQ-Bench Creative Writing | 200 | 988 |
| LMArena Text | 1055 | — |
| LMArena Creative Writing | 1033 | — |
| LMArena Multi-Turn | 1030 | — |

## FAQ

### Is Llama 3.2 1B better than Pixtral Large?

Pixtral Large is the stronger model overall, scoring 31.7 to 19.9 on the Noometry Index. Llama 3.2 1B costs 43× less per token, which makes it the better buy when Pixtral Large's lead doesn't matter for your workload.

### Which is cheaper, Llama 3.2 1B or Pixtral Large?

Llama 3.2 1B is cheaper. It lists at $0.027 per million input tokens and $0.20 per million output tokens; Pixtral Large lists at $2 and $6.

### Which has the bigger context window?

Pixtral Large does, with 128K tokens against 60K.

### How many benchmarks do Llama 3.2 1B and Pixtral Large share?

1 benchmark has published results for both models. Llama 3.2 1B has 22 scored results on Noometry and Pixtral Large has 3.