# DeepSeek LLM 67B vs Mixtral 8x7B

> Mixtral 8x7B is the stronger model overall, scoring 26.8 to 24.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-llm-67b-vs-mixtral-8x7b
- Last updated: 2026-10-10
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 1 category and Mixtral 8x7B in 7 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where Mixtral 8x7B leads 17.2 to 8.1.
- The biggest single-benchmark swing is GPQA Diamond: 24.6% for DeepSeek LLM 67B and 30.6% for Mixtral 8x7B.

## Snapshot

| | DeepSeek LLM 67B | Mixtral 8x7B |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 24.8 | 26.8 |
| Rank | 341 | 328 |
| Context | — | 32K |
| Input $/M | — | $0.70 |
| Output $/M | — | $0.70 |
| Weights | Open | Open |

## Coding

- DeepSeek LLM 67B: 31.3 (#273)
- Mixtral 8x7B: 32.2 (#265)

| Benchmark | DeepSeek LLM 67B | Mixtral 8x7B |
|---|---|---|
| LMArena Coding | 1096 | 1127 |
| HumanEval+ | — | 39.6% |
| MBPP+ | — | 49.7% |

## Reasoning

- DeepSeek LLM 67B: 15.9 (#300)
- Mixtral 8x7B: 17.4 (#283)

| Benchmark | DeepSeek LLM 67B | Mixtral 8x7B |
|---|---|---|
| LMArena Hard Prompts | 1070 | 1115 |
| Epoch Capabilities Index | 110.54 | 118.38 |
| Chess Puzzles | 0% | — |
| DTBench | — | 49.6% |
| Adversarial NLI | — | 55.2% |
| ForecastBench | — | 56.3 |
| HellaSwag | — | 86.7% |
| PIQA | — | 83.6% |
| WinoGrande | — | 77.2% |

## Math

- DeepSeek LLM 67B: 8.1 (#318)
- Mixtral 8x7B: 17.2 (#284)

| Benchmark | DeepSeek LLM 67B | Mixtral 8x7B |
|---|---|---|
| LMArena Math | 1108 | 1147 |
| MATH Level 5 | 6.4% | 10% |
| OTIS Mock AIME 2024-2025 | 0.8% | — |
| Omni-MATH | — | 10.5% |
| GSM8K | — | 74.4% |

## Knowledge

- DeepSeek LLM 67B: 7.1 (#308)
- Mixtral 8x7B: 11.0 (#296)

| Benchmark | DeepSeek LLM 67B | Mixtral 8x7B |
|---|---|---|
| GPQA Diamond | 24.6% | 30.6% |
| MMLU-Pro | — | 33.5% |
| GPQA (HELM) | — | 29.6% |
| LMArena Expert | — | 1088 |
| ARC (AI2) Challenge | — | 87.3% |
| MMLU | — | 70.6% |
| OpenBookQA | — | 85.8% |
| TriviaQA | — | 82.2% |

## Multilingual

- DeepSeek LLM 67B: 29.5 (#262)
- Mixtral 8x7B: 29.8 (#261)

| Benchmark | DeepSeek LLM 67B | Mixtral 8x7B |
|---|---|---|
| LMArena Non-English | 1073 | 1077 |
| LMArena Chinese | 1132 | 1055 |
| LMArena French | — | 1165 |
| LMArena German | — | 1114 |
| LMArena Japanese | — | 931 |
| LMArena Korean | — | 968 |
| LMArena Russian | — | 1090 |
| LMArena Spanish | — | 1110 |

## Instruction Following

- DeepSeek LLM 67B: 55.7 (#272)
- Mixtral 8x7B: 51.2 (#292)

| Benchmark | DeepSeek LLM 67B | Mixtral 8x7B |
|---|---|---|
| LMArena Instruction Following | 1079 | 1110 |
| IFEval | — | 57.5% |

## Long Context

- DeepSeek LLM 67B: 33.1 (#260)
- Mixtral 8x7B: 33.4 (#255)

| Benchmark | DeepSeek LLM 67B | Mixtral 8x7B |
|---|---|---|
| LMArena Longer Query | 1092 | 1103 |

## Writing & Preference

- DeepSeek LLM 67B: 31.8 (#277)
- Mixtral 8x7B: 34.4 (#265)

| Benchmark | DeepSeek LLM 67B | Mixtral 8x7B |
|---|---|---|
| LMArena Text | 1105 | 1132 |
| LMArena Creative Writing | 1067 | 1109 |
| LMArena Multi-Turn | 1082 | 1115 |
| WildBench | — | 67.3% |

## FAQ

### Is DeepSeek LLM 67B better than Mixtral 8x7B?

Mixtral 8x7B is the stronger model overall, scoring 26.8 to 24.8 on the Noometry Index.

### Is DeepSeek LLM 67B or Mixtral 8x7B better for coding?

They score almost the same on coding (31.3 vs 32.2); test both on your own repository before choosing.

### How many benchmarks do DeepSeek LLM 67B and Mixtral 8x7B share?

13 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Mixtral 8x7B has 38.