# Llama 3.2 3B vs Mixtral 8x22B

> Llama 3.2 3B is the stronger model overall, scoring 28.4 to 26.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-3-2-3b-vs-mixtral-8x22b
- Last updated: 2026-10-10
- Shared benchmarks: 15

## Summary

- They share 15 benchmarks with published results for both. Llama 3.2 3B scores higher in 4 categories and Mixtral 8x22B in 5 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Llama 3.2 3B leads 29.1 to 15.1.
- The biggest single-benchmark swing is BigCodeBench Complete: 28.3% for Llama 3.2 3B and 50.2% for Mixtral 8x22B.
- Llama 3.2 3B is cheaper at $0.05 / $0.33 per million input/output tokens, against $2 / $6 for Mixtral 8x22B.
- Llama 3.2 3B accepts more context: 131K tokens versus 64K.

## Snapshot

| | Llama 3.2 3B | Mixtral 8x22B |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 28.4 | 26.7 |
| Rank | 318 | 330 |
| Context | 131K | 64K |
| Input $/M | $0.05 | $2 |
| Output $/M | $0.33 | $6 |
| Weights | Open | Open |

## Coding

- Llama 3.2 3B: 27.1 (#314)
- Mixtral 8x22B: 23.8 (#324)

| Benchmark | Llama 3.2 3B | Mixtral 8x22B |
|---|---|---|
| BigCodeBench Instruct | 23.4% | 40.6% |
| LMArena Coding | 1098 | 1166 |
| BigCodeBench Complete | 28.3% | 50.2% |
| WeirdML | — | 3.2% |
| HumanEval+ | — | 72% |
| MBPP+ | — | 64.3% |

## Agentic & Tool Use

- Llama 3.2 3B: 19.9 (#135)
- Mixtral 8x22B: 22.8 (#119)

| Benchmark | Llama 3.2 3B | Mixtral 8x22B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 21.9% | — |
| Cybench | — | 7.5% |
| BALROG | 10.1% | — |

## Reasoning

- Llama 3.2 3B: 20.1 (#225)
- Mixtral 8x22B: 19.1 (#246)

| Benchmark | Llama 3.2 3B | Mixtral 8x22B |
|---|---|---|
| LMArena Hard Prompts | 1095 | 1150 |
| DTBench | — | 55.1% |
| Epoch Capabilities Index | — | 122 |
| ForecastBench | — | 56.3 |

## Math

- Llama 3.2 3B: 29.9 (#213)
- Mixtral 8x22B: 21.2 (#271)

| Benchmark | Llama 3.2 3B | Mixtral 8x22B |
|---|---|---|
| LMArena Math | 1126 | 1184 |
| Omni-MATH | — | 16.3% |
| MATH Level 5 | — | 24.2% |

## Knowledge

- Llama 3.2 3B: 29.1 (#232)
- Mixtral 8x22B: 15.1 (#288)

| Benchmark | Llama 3.2 3B | Mixtral 8x22B |
|---|---|---|
| LMArena Expert | 1090 | 1113 |
| GPQA Diamond | — | 34.1% |
| MMLU-Pro | — | 46% |
| GPQA (HELM) | — | 33.4% |
| MMLU | — | 77.8% |

## Multilingual

- Llama 3.2 3B: 26.4 (#276)
- Mixtral 8x22B: 32.9 (#250)

| Benchmark | Llama 3.2 3B | Mixtral 8x22B |
|---|---|---|
| LMArena Non-English | 1019 | 1128 |
| LMArena Chinese | 1017 | 1116 |
| LMArena German | 1056 | 1141 |
| LMArena Russian | 949 | 1158 |
| LMArena French | — | 1165 |
| LMArena Japanese | — | 1037 |
| LMArena Korean | — | 1056 |
| LMArena Spanish | — | 1150 |

## Instruction Following

- Llama 3.2 3B: 56.3 (#270)
- Mixtral 8x22B: 57.9 (#261)

| Benchmark | Llama 3.2 3B | Mixtral 8x22B |
|---|---|---|
| LMArena Instruction Following | 1089 | 1147 |
| IFEval | — | 72.4% |

## Long Context

- Llama 3.2 3B: 33.4 (#256)
- Mixtral 8x22B: 34.6 (#242)

| Benchmark | Llama 3.2 3B | Mixtral 8x22B |
|---|---|---|
| LMArena Longer Query | 1101 | 1144 |

## Writing & Preference

- Llama 3.2 3B: 24.9 (#302)
- Mixtral 8x22B: 37.1 (#257)

| Benchmark | Llama 3.2 3B | Mixtral 8x22B |
|---|---|---|
| LMArena Text | 1110 | 1162 |
| LMArena Creative Writing | 1094 | 1141 |
| LMArena Multi-Turn | 1105 | 1130 |
| EQ-Bench Creative Writing | 595 | — |
| WildBench | — | 71.1% |

## FAQ

### Is Llama 3.2 3B better than Mixtral 8x22B?

Llama 3.2 3B is the stronger model overall, scoring 28.4 to 26.7 on the Noometry Index.

### Which is cheaper, Llama 3.2 3B or Mixtral 8x22B?

Llama 3.2 3B is cheaper. It lists at $0.05 per million input tokens and $0.33 per million output tokens; Mixtral 8x22B lists at $2 and $6.

### Is Llama 3.2 3B or Mixtral 8x22B better for coding?

Llama 3.2 3B scores higher on coding benchmarks: 27.1 versus 23.8 in the Noometry coding category.

### Which has the bigger context window?

Llama 3.2 3B does, with 131K tokens against 64K.

### How many benchmarks do Llama 3.2 3B and Mixtral 8x22B share?

15 benchmarks have published results for both models. Llama 3.2 3B has 18 scored results on Noometry and Mixtral 8x22B has 34.