# DeepSeek LLM 67B vs Mistral Medium

> Mistral Medium is the stronger model overall, scoring 36.3 to 24.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-llm-67b-vs-mistral-medium
- Last updated: 2026-10-12
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 0 categories and Mistral Medium in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral Medium leads 60.0 to 31.6.
- The biggest single-benchmark swing is MATH Level 5: 6.4% for DeepSeek LLM 67B and 81.6% for Mistral Medium.

## Snapshot

| | DeepSeek LLM 67B | Mistral Medium |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 24.9 | 36.3 |
| Rank | 347 | 218 |
| Context | — | 262K |
| Input $/M | — | $1.50 |
| Output $/M | — | $7.50 |
| Weights | Open | Open |

## Coding

- DeepSeek LLM 67B: 31.9 (#278)
- Mistral Medium: 34.2 (#243)

| Benchmark | DeepSeek LLM 67B | Mistral Medium |
|---|---|---|
| LMArena Coding | 1096 | 1434 |
| FrontierCode | — | 8% |
| SciCode | — | 40.2% |
| WeirdML | — | 43.7% |
| ALE-Bench | — | 763.98 |

## Agentic & Tool Use

- DeepSeek LLM 67B: —
- Mistral Medium: 28.3 (#90)

| Benchmark | DeepSeek LLM 67B | Mistral Medium |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.7% |

## Reasoning

- DeepSeek LLM 67B: 16.5 (#304)
- Mistral Medium: 24.0 (#167)

| Benchmark | DeepSeek LLM 67B | Mistral Medium |
|---|---|---|
| LMArena Hard Prompts | 1070 | 1426 |
| Kagi LLM Benchmark | — | 50% |
| CritPt | — | 0% |
| Chess Puzzles | 0% | — |
| DTBench | — | 75.5% |
| LMCA | — | 26.1% |
| Surface Evolver Bench | — | 26.9% |
| Epoch Capabilities Index | 110.5 | — |

## Math

- DeepSeek LLM 67B: 8.7 (#324)
- Mistral Medium: 28.1 (#245)

| Benchmark | DeepSeek LLM 67B | Mistral Medium |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.8% | 32.2% |
| LMArena Math | 1108 | 1408 |
| MATH Level 5 | 6.4% | 81.6% |
| ProofBench | — | 9% |
| FrontierMath (Feb 2025 set) | — | 0.3% |

## Knowledge

- DeepSeek LLM 67B: 7.0 (#313)
- Mistral Medium: 25.0 (#265)

| Benchmark | DeepSeek LLM 67B | Mistral Medium |
|---|---|---|
| GPQA Diamond | 24.6% | 59.5% |
| Humanity's Last Exam | — | 4.5% |
| Vectara Hallucination Rate | — | 22.7% |
| LMArena Expert | — | 1408 |

## Multimodal

- DeepSeek LLM 67B: —
- Mistral Medium: 35.3 (#88)

| Benchmark | DeepSeek LLM 67B | Mistral Medium |
|---|---|---|
| LMArena Vision | — | 1172 |

## Multilingual

- DeepSeek LLM 67B: 29.4 (#267)
- Mistral Medium: 52.1 (#91)

| Benchmark | DeepSeek LLM 67B | Mistral Medium |
|---|---|---|
| LMArena Non-English | 1073 | 1408 |
| LMArena Chinese | 1132 | 1447 |
| LMArena French | — | 1459 |
| LMArena German | — | 1432 |
| LMArena Japanese | — | 1378 |
| LMArena Korean | — | 1380 |
| LMArena Russian | — | 1411 |
| LMArena Spanish | — | 1433 |

## Instruction Following

- DeepSeek LLM 67B: 55.4 (#277)
- Mistral Medium: 73.7 (#116)

| Benchmark | DeepSeek LLM 67B | Mistral Medium |
|---|---|---|
| LMArena Instruction Following | 1079 | 1398 |

## Long Context

- DeepSeek LLM 67B: 33.1 (#265)
- Mistral Medium: 42.9 (#114)

| Benchmark | DeepSeek LLM 67B | Mistral Medium |
|---|---|---|
| LMArena Longer Query | 1092 | 1406 |

## Writing & Preference

- DeepSeek LLM 67B: 31.6 (#282)
- Mistral Medium: 60.0 (#103)

| Benchmark | DeepSeek LLM 67B | Mistral Medium |
|---|---|---|
| LMArena Text | 1105 | 1424 |
| LMArena Creative Writing | 1067 | 1391 |
| LMArena Multi-Turn | 1082 | 1418 |
| Short-Story Creative Writing | — | 77.3% |

## FAQ

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

Mistral Medium is the stronger model overall, scoring 36.3 to 24.9 on the Noometry Index.

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

Mistral Medium scores higher on coding benchmarks: 34.2 versus 31.9 in the Noometry coding category.

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

13 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Mistral Medium has 36.