# DeepSeek LLM 67B vs Mistral Large

> Mistral Large is the stronger model overall, scoring 31.9 to 24.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-llm-67b-vs-mistral-large
- Last updated: 2026-10-11
- Shared benchmarks: 14

## Summary

- They share 14 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 1 category and Mistral Large in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Mistral Large leads 30.1 to 7.0.
- The biggest single-benchmark swing is MATH Level 5: 6.4% for DeepSeek LLM 67B and 50.3% for Mistral Large.

## Snapshot

| | DeepSeek LLM 67B | Mistral Large |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 24.9 | 31.9 |
| Rank | 347 | 263 |
| Context | — | 131K |
| Input $/M | — | $2 |
| Output $/M | — | $6 |
| Weights | Open | Open |

## Coding

- DeepSeek LLM 67B: 31.9 (#278)
- Mistral Large: 34.3 (#240)

| Benchmark | DeepSeek LLM 67B | Mistral Large |
|---|---|---|
| LMArena Coding | 1096 | 1277 |
| SciCode | — | 36.2% |
| BigCodeBench Instruct | — | 30% |
| LiveBench Coding | — | 47.1% |
| BigCodeBench Complete | — | 38.3% |
| ALE-Bench | — | 264.7 |
| HumanEval+ | — | 62.2% |
| MBPP+ | — | 59.5% |

## Agentic & Tool Use

- DeepSeek LLM 67B: —
- Mistral Large: 28.6 (#89)

| Benchmark | DeepSeek LLM 67B | Mistral Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 38.4% |

## Reasoning

- DeepSeek LLM 67B: 16.5 (#304)
- Mistral Large: 15.8 (#310)

| Benchmark | DeepSeek LLM 67B | Mistral Large |
|---|---|---|
| LMArena Hard Prompts | 1070 | 1257 |
| Epoch Capabilities Index | 110.5 | 128.52 |
| SimpleBench | — | 22.5% |
| CritPt | — | 0% |
| Chess Puzzles | 0% | — |
| LiveBench Reasoning | — | 43.5% |
| DTBench | — | 65.1% |
| LiveBench Data Analysis | — | 50.1% |
| LMCA | — | 16.7% |
| ForecastBench | — | 57.1 |
| LiveBench | — | 48.4% |

## Math

- DeepSeek LLM 67B: 8.7 (#324)
- Mistral Large: 18.2 (#291)

| Benchmark | DeepSeek LLM 67B | Mistral Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.8% | 8.5% |
| LMArena Math | 1108 | 1262 |
| MATH Level 5 | 6.4% | 50.3% |
| Omni-MATH | — | 28.1% |
| LiveBench Math | — | 42.5% |
| FrontierMath (Feb 2025 set) | — | 0.3% |

## Knowledge

- DeepSeek LLM 67B: 7.0 (#313)
- Mistral Large: 30.1 (#230)

| Benchmark | DeepSeek LLM 67B | Mistral Large |
|---|---|---|
| GPQA Diamond | 24.6% | 51.3% |
| MMLU-Pro | — | 59.9% |
| Confabulations | — | 21.4% |
| Vectara Hallucination Rate | — | 4.5% |
| GPQA (HELM) | — | 43.5% |
| LMArena Expert | — | 1232 |
| MMLU | — | 80% |

## Multilingual

- DeepSeek LLM 67B: 29.4 (#267)
- Mistral Large: 40.0 (#219)

| Benchmark | DeepSeek LLM 67B | Mistral Large |
|---|---|---|
| LMArena Non-English | 1073 | 1237 |
| LMArena Chinese | 1132 | 1240 |
| LMArena French | — | 1325 |
| LMArena German | — | 1254 |
| LMArena Japanese | — | 1188 |
| LMArena Korean | — | 1202 |
| LMArena Russian | — | 1257 |
| LMArena Spanish | — | 1268 |

## Instruction Following

- DeepSeek LLM 67B: 55.4 (#277)
- Mistral Large: 67.9 (#191)

| Benchmark | DeepSeek LLM 67B | Mistral Large |
|---|---|---|
| LMArena Instruction Following | 1079 | 1249 |
| LiveBench Instruction Following | — | 67.9% |
| IFEval | — | 87.7% |

## Long Context

- DeepSeek LLM 67B: 33.1 (#265)
- Mistral Large: 38.3 (#199)

| Benchmark | DeepSeek LLM 67B | Mistral Large |
|---|---|---|
| LMArena Longer Query | 1092 | 1261 |

## Writing & Preference

- DeepSeek LLM 67B: 31.6 (#282)
- Mistral Large: 40.7 (#242)

| Benchmark | DeepSeek LLM 67B | Mistral Large |
|---|---|---|
| LMArena Text | 1105 | 1266 |
| LMArena Creative Writing | 1067 | 1243 |
| LMArena Multi-Turn | 1082 | 1260 |
| Short-Story Creative Writing | — | 69% |
| EQ-Bench Creative Writing | — | 985 |
| WildBench | — | 80.1% |
| LiveBench Language | — | 39.4% |

## FAQ

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

Mistral Large is the stronger model overall, scoring 31.9 to 24.9 on the Noometry Index.

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

Mistral Large scores higher on coding benchmarks: 34.3 versus 31.9 in the Noometry coding category.

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

14 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Mistral Large has 51.