# DeepSeek LLM 67B vs Mistral

> Mistral is the stronger model overall, scoring 29.9 to 24.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-llm-67b-vs-mistral
- Last updated: 2026-10-12
- Shared benchmarks: 10

## Summary

- They share 10 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 1 category and Mistral in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Mistral leads 22.3 to 8.7.
- DeepSeek LLM 67B has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek LLM 67B | Mistral |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 24.9 | 29.9 |
| Rank | 347 | 303 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Proprietary |

## Coding

- DeepSeek LLM 67B: 31.9 (#278)
- Mistral: 33.8 (#250)

| Benchmark | DeepSeek LLM 67B | Mistral |
|---|---|---|
| LMArena Coding | 1096 | 1162 |

## Reasoning

- DeepSeek LLM 67B: 16.5 (#304)
- Mistral: 22.2 (#200)

| Benchmark | DeepSeek LLM 67B | Mistral |
|---|---|---|
| LMArena Hard Prompts | 1070 | 1149 |
| Chess Puzzles | 0% | — |
| Epoch Capabilities Index | 110.5 | — |

## Math

- DeepSeek LLM 67B: 8.7 (#324)
- Mistral: 22.3 (#278)

| Benchmark | DeepSeek LLM 67B | Mistral |
|---|---|---|
| LMArena Math | 1108 | 1180 |
| OTIS Mock AIME 2024-2025 | 0.8% | — |
| Omni-MATH | — | 7.2% |
| MATH Level 5 | 6.4% | — |

## Knowledge

- DeepSeek LLM 67B: 7.0 (#313)
- Mistral: 16.6 (#288)

| Benchmark | DeepSeek LLM 67B | Mistral |
|---|---|---|
| GPQA Diamond | 24.6% | — |
| MMLU-Pro | — | 27.7% |
| GPQA (HELM) | — | 30.3% |
| LMArena Expert | — | 1125 |

## Multilingual

- DeepSeek LLM 67B: 29.4 (#267)
- Mistral: 32.8 (#254)

| Benchmark | DeepSeek LLM 67B | Mistral |
|---|---|---|
| LMArena Non-English | 1073 | 1129 |
| LMArena Chinese | 1132 | 1109 |
| LMArena French | — | 1180 |
| LMArena German | — | 1155 |
| LMArena Japanese | — | 1013 |
| LMArena Korean | — | 1032 |
| LMArena Russian | — | 1168 |
| LMArena Spanish | — | 1143 |

## Instruction Following

- DeepSeek LLM 67B: 55.4 (#277)
- Mistral: 52.6 (#288)

| Benchmark | DeepSeek LLM 67B | Mistral |
|---|---|---|
| LMArena Instruction Following | 1079 | 1152 |
| IFEval | — | 56.8% |

## Long Context

- DeepSeek LLM 67B: 33.1 (#265)
- Mistral: 35.0 (#245)

| Benchmark | DeepSeek LLM 67B | Mistral |
|---|---|---|
| LMArena Longer Query | 1092 | 1153 |

## Writing & Preference

- DeepSeek LLM 67B: 31.6 (#282)
- Mistral: 37.0 (#260)

| Benchmark | DeepSeek LLM 67B | Mistral |
|---|---|---|
| LMArena Text | 1105 | 1165 |
| LMArena Creative Writing | 1067 | 1158 |
| LMArena Multi-Turn | 1082 | 1147 |
| WildBench | — | 66% |

## FAQ

### Is DeepSeek LLM 67B better than Mistral?

Mistral is the stronger model overall, scoring 29.9 to 24.9 on the Noometry Index.

### Is DeepSeek LLM 67B or Mistral better for coding?

Mistral scores higher on coding benchmarks: 33.8 versus 31.9 in the Noometry coding category.

### How many benchmarks do DeepSeek LLM 67B and Mistral share?

10 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Mistral has 22.