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

> DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.6 to 29.9 on the Noometry Index.

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

## Summary

- They share 17 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 7 categories and Mistral in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where DeepSeek-V2.5 (Sep 2024) leads 34.8 to 16.6.
- DeepSeek-V2.5 (Sep 2024) has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V2.5 (Sep 2024) | Mistral |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 37.6 | 29.9 |
| Rank | 200 | 303 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V2.5 (Sep 2024): 31.7 (#281)
- Mistral: 33.8 (#250)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mistral |
|---|---|---|
| LMArena Coding | 1309 | 1162 |
| Aider Polyglot | 17.8% | — |
| BigCodeBench Instruct | 48.6% | — |
| BigCodeBench Complete | 53.2% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |

## Reasoning

- DeepSeek-V2.5 (Sep 2024): 25.6 (#145)
- Mistral: 22.2 (#200)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mistral |
|---|---|---|
| LMArena Hard Prompts | 1289 | 1149 |

## Math

- DeepSeek-V2.5 (Sep 2024): 35.9 (#177)
- Mistral: 22.3 (#278)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mistral |
|---|---|---|
| LMArena Math | 1288 | 1180 |
| Omni-MATH | — | 7.2% |

## Knowledge

- DeepSeek-V2.5 (Sep 2024): 34.8 (#193)
- Mistral: 16.6 (#288)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mistral |
|---|---|---|
| LMArena Expert | 1266 | 1125 |
| MMLU-Pro | — | 27.7% |
| GPQA (HELM) | — | 30.3% |

## Multilingual

- DeepSeek-V2.5 (Sep 2024): 42.5 (#193)
- Mistral: 32.8 (#254)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mistral |
|---|---|---|
| LMArena Non-English | 1273 | 1129 |
| LMArena Chinese | 1318 | 1109 |
| LMArena French | 1289 | 1180 |
| LMArena German | 1258 | 1155 |
| LMArena Japanese | 1228 | 1013 |
| LMArena Korean | 1209 | 1032 |
| LMArena Russian | 1289 | 1168 |
| LMArena Spanish | 1248 | 1143 |

## Instruction Following

- DeepSeek-V2.5 (Sep 2024): 67.5 (#194)
- Mistral: 52.6 (#288)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mistral |
|---|---|---|
| LMArena Instruction Following | 1280 | 1152 |
| IFEval | — | 56.8% |

## Long Context

- DeepSeek-V2.5 (Sep 2024): 39.5 (#174)
- Mistral: 35.0 (#245)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mistral |
|---|---|---|
| LMArena Longer Query | 1301 | 1153 |

## Writing & Preference

- DeepSeek-V2.5 (Sep 2024): 49.8 (#187)
- Mistral: 37.0 (#260)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mistral |
|---|---|---|
| LMArena Text | 1294 | 1165 |
| LMArena Creative Writing | 1285 | 1158 |
| LMArena Multi-Turn | 1297 | 1147 |
| WildBench | — | 66% |

## FAQ

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

DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.6 to 29.9 on the Noometry Index.

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

Mistral scores higher on coding benchmarks: 33.8 versus 31.7 in the Noometry coding category.

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

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