# DeepSeek-V2.5 (Sep 2024) vs Mistral Medium

> DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.6 to 36.3 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v2-5-vs-mistral-medium
- Last updated: 2026-10-12
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 3 categories and Mistral Medium in 5 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral Medium leads 60.0 to 49.8.

## Snapshot

| | DeepSeek-V2.5 (Sep 2024) | Mistral Medium |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 37.6 | 36.3 |
| Rank | 200 | 218 |
| Context | — | 262K |
| Input $/M | — | $1.50 |
| Output $/M | — | $7.50 |
| Weights | Open | Open |

## Coding

- DeepSeek-V2.5 (Sep 2024): 31.7 (#281)
- Mistral Medium: 34.2 (#243)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mistral Medium |
|---|---|---|
| LMArena Coding | 1309 | 1434 |
| FrontierCode | — | 8% |
| Aider Polyglot | 17.8% | — |
| SciCode | — | 40.2% |
| WeirdML | — | 43.7% |
| BigCodeBench Instruct | 48.6% | — |
| BigCodeBench Complete | 53.2% | — |
| ALE-Bench | — | 763.98 |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |

## Agentic & Tool Use

- DeepSeek-V2.5 (Sep 2024): —
- Mistral Medium: 28.3 (#90)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mistral Medium |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.7% |

## Reasoning

- DeepSeek-V2.5 (Sep 2024): 25.6 (#145)
- Mistral Medium: 24.0 (#167)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mistral Medium |
|---|---|---|
| LMArena Hard Prompts | 1289 | 1426 |
| Kagi LLM Benchmark | — | 50% |
| CritPt | — | 0% |
| DTBench | — | 75.5% |
| LMCA | — | 26.1% |
| Surface Evolver Bench | — | 26.9% |

## Math

- DeepSeek-V2.5 (Sep 2024): 35.9 (#177)
- Mistral Medium: 28.1 (#245)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mistral Medium |
|---|---|---|
| LMArena Math | 1288 | 1408 |
| OTIS Mock AIME 2024-2025 | — | 32.2% |
| ProofBench | — | 9% |
| MATH Level 5 | — | 81.6% |
| FrontierMath (Feb 2025 set) | — | 0.3% |

## Knowledge

- DeepSeek-V2.5 (Sep 2024): 34.8 (#193)
- Mistral Medium: 25.0 (#265)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mistral Medium |
|---|---|---|
| LMArena Expert | 1266 | 1408 |
| GPQA Diamond | — | 59.5% |
| Humanity's Last Exam | — | 4.5% |
| Vectara Hallucination Rate | — | 22.7% |

## Multimodal

- DeepSeek-V2.5 (Sep 2024): —
- Mistral Medium: 35.3 (#88)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mistral Medium |
|---|---|---|
| LMArena Vision | — | 1172 |

## Multilingual

- DeepSeek-V2.5 (Sep 2024): 42.5 (#193)
- Mistral Medium: 52.1 (#91)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mistral Medium |
|---|---|---|
| LMArena Non-English | 1273 | 1408 |
| LMArena Chinese | 1318 | 1447 |
| LMArena French | 1289 | 1459 |
| LMArena German | 1258 | 1432 |
| LMArena Japanese | 1228 | 1378 |
| LMArena Korean | 1209 | 1380 |
| LMArena Russian | 1289 | 1411 |
| LMArena Spanish | 1248 | 1433 |

## Instruction Following

- DeepSeek-V2.5 (Sep 2024): 67.5 (#194)
- Mistral Medium: 73.7 (#116)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mistral Medium |
|---|---|---|
| LMArena Instruction Following | 1280 | 1398 |

## Long Context

- DeepSeek-V2.5 (Sep 2024): 39.5 (#174)
- Mistral Medium: 42.9 (#114)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mistral Medium |
|---|---|---|
| LMArena Longer Query | 1301 | 1406 |

## Writing & Preference

- DeepSeek-V2.5 (Sep 2024): 49.8 (#187)
- Mistral Medium: 60.0 (#103)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mistral Medium |
|---|---|---|
| LMArena Text | 1294 | 1424 |
| LMArena Creative Writing | 1285 | 1391 |
| LMArena Multi-Turn | 1297 | 1418 |
| Short-Story Creative Writing | — | 77.3% |

## FAQ

### Is DeepSeek-V2.5 (Sep 2024) better than Mistral Medium?

DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.6 to 36.3 on the Noometry Index.

### Is DeepSeek-V2.5 (Sep 2024) or Mistral Medium better for coding?

Mistral Medium scores higher on coding benchmarks: 34.2 versus 31.7 in the Noometry coding category.

### How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Mistral Medium share?

17 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Mistral Medium has 36.