# Llama 3.2 1B vs Mistral 7B

> Mistral 7B is the stronger model overall, scoring 22.9 to 19.9 on the Noometry Index. Llama 3.2 1B costs 3.5× less per token, which makes it the better buy when Mistral 7B's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/llama-3-2-1b-vs-mistral-7b
- Last updated: 2026-10-10
- Shared benchmarks: 19

## Summary

- They share 19 benchmarks with published results for both. Llama 3.2 1B scores higher in 2 categories and Mistral 7B in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral 7B leads 30.9 to 21.4.
- The biggest single-benchmark swing is BigCodeBench Complete: 11.3% for Llama 3.2 1B and 27.3% for Mistral 7B.
- Llama 3.2 1B is cheaper at $0.027 / $0.20 per million input/output tokens, against $0.25 / $0.25 for Mistral 7B.
- Llama 3.2 1B accepts more context: 60K tokens versus 8K.

## Snapshot

| | Llama 3.2 1B | Mistral 7B |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 19.9 | 22.9 |
| Rank | 349 | 346 |
| Context | 60K | 8K |
| Input $/M | $0.027 | $0.25 |
| Output $/M | $0.20 | $0.25 |
| Weights | Open | Open |

## Coding

- Llama 3.2 1B: 20.6 (#333)
- Mistral 7B: 25.9 (#321)

| Benchmark | Llama 3.2 1B | Mistral 7B |
|---|---|---|
| BigCodeBench Instruct | 8.2% | 19.5% |
| LMArena Coding | 1071 | 1082 |
| BigCodeBench Complete | 11.3% | 27.3% |
| HumanEval+ | — | 36% |
| MBPP+ | — | 42.1% |

## Agentic & Tool Use

- Llama 3.2 1B: 14.5 (#142)
- Mistral 7B: —

| Benchmark | Llama 3.2 1B | Mistral 7B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 10.8% | — |
| BALROG | 6.6% | — |

## Reasoning

- Llama 3.2 1B: 15.6 (#304)
- Mistral 7B: 12.6 (#331)

| Benchmark | Llama 3.2 1B | Mistral 7B |
|---|---|---|
| Chess Puzzles | 0% | 0% |
| LMArena Hard Prompts | 1044 | 1067 |
| Epoch Capabilities Index | 101.95 | 111.97 |
| DTBench | — | 42.5% |
| Adversarial NLI | — | 47.1% |
| BIG-Bench Hard | — | 56.1% |
| HellaSwag | — | 81% |
| PIQA | — | 83% |
| WinoGrande | — | 75.3% |

## Math

- Llama 3.2 1B: 9.7 (#308)
- Mistral 7B: 7.6 (#319)

| Benchmark | Llama 3.2 1B | Mistral 7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.6% | 0.3% |
| LMArena Math | 1086 | 1085 |
| MATH Level 5 | — | 3.7% |
| GSM8K | — | 54.4% |

## Knowledge

- Llama 3.2 1B: 7.2 (#307)
- Mistral 7B: 7.3 (#306)

| Benchmark | Llama 3.2 1B | Mistral 7B |
|---|---|---|
| GPQA Diamond | 23.9% | 15.2% |
| LMArena Expert | 1007 | 1036 |
| ARC (AI2) Challenge | — | 78.6% |
| BoolQ | — | 87.4% |
| MMLU | — | 62.5% |
| OpenBookQA | — | 79.8% |
| TriviaQA | — | 75.2% |

## Multilingual

- Llama 3.2 1B: 23.9 (#287)
- Mistral 7B: 26.0 (#278)

| Benchmark | Llama 3.2 1B | Mistral 7B |
|---|---|---|
| LMArena Non-English | 973 | 1012 |
| LMArena Chinese | 958 | 1009 |
| LMArena German | 1014 | 987 |
| LMArena Russian | 941 | 1018 |
| LMArena French | — | 1036 |
| LMArena Japanese | — | 878 |
| LMArena Spanish | — | 1026 |

## Instruction Following

- Llama 3.2 1B: 52.6 (#285)
- Mistral 7B: 54.5 (#275)

| Benchmark | Llama 3.2 1B | Mistral 7B |
|---|---|---|
| LMArena Instruction Following | 1031 | 1060 |

## Long Context

- Llama 3.2 1B: 31.9 (#269)
- Mistral 7B: 32.2 (#266)

| Benchmark | Llama 3.2 1B | Mistral 7B |
|---|---|---|
| LMArena Longer Query | 1050 | 1060 |

## Writing & Preference

- Llama 3.2 1B: 21.4 (#305)
- Mistral 7B: 30.9 (#281)

| Benchmark | Llama 3.2 1B | Mistral 7B |
|---|---|---|
| LMArena Text | 1055 | 1090 |
| LMArena Creative Writing | 1033 | 1068 |
| LMArena Multi-Turn | 1030 | 1062 |
| EQ-Bench Creative Writing | 200 | — |

## FAQ

### Is Llama 3.2 1B better than Mistral 7B?

Mistral 7B is the stronger model overall, scoring 22.9 to 19.9 on the Noometry Index. Llama 3.2 1B costs 3.5× less per token, which makes it the better buy when Mistral 7B's lead doesn't matter for your workload.

### Which is cheaper, Llama 3.2 1B or Mistral 7B?

Llama 3.2 1B is cheaper. It lists at $0.027 per million input tokens and $0.20 per million output tokens; Mistral 7B lists at $0.25 and $0.25.

### Is Llama 3.2 1B or Mistral 7B better for coding?

Mistral 7B scores higher on coding benchmarks: 25.9 versus 20.6 in the Noometry coding category.

### Which has the bigger context window?

Llama 3.2 1B does, with 60K tokens against 8K.

### How many benchmarks do Llama 3.2 1B and Mistral 7B share?

19 benchmarks have published results for both models. Llama 3.2 1B has 22 scored results on Noometry and Mistral 7B has 37.