# Llama 3.1-70B vs Mixtral 8x22B

> Llama 3.1-70B is the stronger model overall, scoring 29.6 to 27.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-3-1-70b-vs-mixtral-8x22b
- Last updated: 2026-10-10
- Shared benchmarks: 30

## Summary

- They share 30 benchmarks with published results for both. Llama 3.1-70B scores higher in 7 categories and Mixtral 8x22B in 2 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Mixtral 8x22B leads 22.9 to 13.5.
- The biggest single-benchmark swing is MMLU-Pro: 65.3% for Llama 3.1-70B and 46% for Mixtral 8x22B.
- Llama 3.1-70B is cheaper at $0.40 / $0.40 per million input/output tokens, against $2 / $6 for Mixtral 8x22B.
- Llama 3.1-70B accepts more context: 128K tokens versus 64K.

## Snapshot

| | Llama 3.1-70B | Mixtral 8x22B |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 29.6 | 27.1 |
| Rank | 308 | 333 |
| Context | 128K | 64K |
| Input $/M | $0.40 | $2 |
| Output $/M | $0.40 | $6 |
| Weights | Open | Open |

## Coding

- Llama 3.1-70B: 30.3 (#296)
- Mixtral 8x22B: 24.2 (#329)

| Benchmark | Llama 3.1-70B | Mixtral 8x22B |
|---|---|---|
| WeirdML | 9% | 3.2% |
| BigCodeBench Instruct | 46.1% | 40.6% |
| LMArena Coding | 1260 | 1166 |
| BigCodeBench Complete | 54.8% | 50.2% |
| HumanEval+ | — | 72% |
| MBPP+ | — | 64.3% |

## Agentic & Tool Use

- Llama 3.1-70B: 25.1 (#112)
- Mixtral 8x22B: 23.1 (#127)

| Benchmark | Llama 3.1-70B | Mixtral 8x22B |
|---|---|---|
| TheAgentCompany | 6.9% | — |
| Cybench | — | 7.5% |
| BALROG | 27.9% | — |

## Reasoning

- Llama 3.1-70B: 21.6 (#220)
- Mixtral 8x22B: 19.9 (#248)

| Benchmark | Llama 3.1-70B | Mixtral 8x22B |
|---|---|---|
| LMArena Hard Prompts | 1241 | 1150 |
| DTBench | 60% | 55.1% |
| Epoch Capabilities Index | 125.92 | 122.03 |
| LMCA | 14.8% | — |
| ForecastBench | — | 56.3 |

## Math

- Llama 3.1-70B: 13.5 (#304)
- Mixtral 8x22B: 22.9 (#275)

| Benchmark | Llama 3.1-70B | Mixtral 8x22B |
|---|---|---|
| Omni-MATH | 21% | 16.3% |
| LMArena Math | 1252 | 1184 |
| MATH Level 5 | 36.7% | 24.2% |
| OTIS Mock AIME 2024-2025 | 3.6% | — |

## Knowledge

- Llama 3.1-70B: 24.2 (#269)
- Mixtral 8x22B: 15.1 (#293)

| Benchmark | Llama 3.1-70B | Mixtral 8x22B |
|---|---|---|
| GPQA Diamond | 44.2% | 34.1% |
| MMLU-Pro | 65.3% | 46% |
| GPQA (HELM) | 42.6% | 33.4% |
| LMArena Expert | 1209 | 1113 |
| MMLU | 80.1% | 77.8% |

## Multilingual

- Llama 3.1-70B: 38.8 (#225)
- Mixtral 8x22B: 32.8 (#255)

| Benchmark | Llama 3.1-70B | Mixtral 8x22B |
|---|---|---|
| LMArena Non-English | 1219 | 1128 |
| LMArena Chinese | 1215 | 1116 |
| LMArena French | 1261 | 1166 |
| LMArena German | 1222 | 1141 |
| LMArena Japanese | 1132 | 1037 |
| LMArena Korean | 1140 | 1057 |
| LMArena Russian | 1234 | 1158 |
| LMArena Spanish | 1253 | 1151 |

## Instruction Following

- Llama 3.1-70B: 65.3 (#223)
- Mixtral 8x22B: 57.7 (#266)

| Benchmark | Llama 3.1-70B | Mixtral 8x22B |
|---|---|---|
| IFEval | 82.1% | 72.4% |
| LMArena Instruction Following | 1231 | 1147 |

## Long Context

- Llama 3.1-70B: 37.6 (#214)
- Mixtral 8x22B: 34.7 (#247)

| Benchmark | Llama 3.1-70B | Mixtral 8x22B |
|---|---|---|
| LMArena Longer Query | 1241 | 1144 |

## Writing & Preference

- Llama 3.1-70B: 35.4 (#267)
- Mixtral 8x22B: 36.9 (#262)

| Benchmark | Llama 3.1-70B | Mixtral 8x22B |
|---|---|---|
| LMArena Text | 1261 | 1162 |
| LMArena Creative Writing | 1232 | 1141 |
| WildBench | 75.8% | 71.1% |
| LMArena Multi-Turn | 1256 | 1130 |
| EQ-Bench Creative Writing | 784 | — |

## FAQ

### Is Llama 3.1-70B better than Mixtral 8x22B?

Llama 3.1-70B is the stronger model overall, scoring 29.6 to 27.1 on the Noometry Index.

### Which is cheaper, Llama 3.1-70B or Mixtral 8x22B?

Llama 3.1-70B is cheaper. It lists at $0.40 per million input tokens and $0.40 per million output tokens; Mixtral 8x22B lists at $2 and $6.

### Is Llama 3.1-70B or Mixtral 8x22B better for coding?

Llama 3.1-70B scores higher on coding benchmarks: 30.3 versus 24.2 in the Noometry coding category.

### Which has the bigger context window?

Llama 3.1-70B does, with 128K tokens against 64K.

### How many benchmarks do Llama 3.1-70B and Mixtral 8x22B share?

30 benchmarks have published results for both models. Llama 3.1-70B has 35 scored results on Noometry and Mixtral 8x22B has 34.