# DeepSeek-V2.5 (Sep 2024) vs Mistral Medium 3.5

> Mistral Medium 3.5 is the stronger model overall, scoring 39.6 to 37.0 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v2-5-vs-mistral-medium-3-5
- Last updated: 2026-10-10
- Shared benchmarks: 16

## Summary

- They share 16 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 1 category and Mistral Medium 3.5 in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Mistral Medium 3.5 leads 52.1 to 42.7.

## Snapshot

| | DeepSeek-V2.5 (Sep 2024) | Mistral Medium 3.5 |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 37.0 | 39.6 |
| Rank | 197 | 151 |
| Context | — | 262K |
| Input $/M | — | $1.50 |
| Output $/M | — | $7.50 |
| Weights | Open | Open |

## Coding

- DeepSeek-V2.5 (Sep 2024): 31.3 (#274)
- Mistral Medium 3.5: 35.7 (#208)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mistral Medium 3.5 |
|---|---|---|
| LMArena Coding | 1310 | 1461 |
| Aider Polyglot | 17.8% | — |
| LMArena WebDev | — | 1263 |
| BigCodeBench Instruct | 48.6% | — |
| BigCodeBench Complete | 53.2% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |

## Reasoning

- DeepSeek-V2.5 (Sep 2024): 24.5 (#145)
- Mistral Medium 3.5: 16.6 (#290)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mistral Medium 3.5 |
|---|---|---|
| LMArena Hard Prompts | 1289 | 1436 |
| Kagi LLM Benchmark | — | 41.4% |
| NYT Connections (extended) | — | 12.9% |
| Epoch Capabilities Index | — | 141.42 |

## Math

- DeepSeek-V2.5 (Sep 2024): 33.3 (#177)
- Mistral Medium 3.5: 36.4 (#113)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mistral Medium 3.5 |
|---|---|---|
| LMArena Math | 1289 | 1432 |

## Knowledge

- DeepSeek-V2.5 (Sep 2024): 34.2 (#190)
- Mistral Medium 3.5: 39.3 (#123)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mistral Medium 3.5 |
|---|---|---|
| LMArena Expert | 1266 | 1431 |

## Multimodal

- DeepSeek-V2.5 (Sep 2024): —
- Mistral Medium 3.5: 37.6 (#64)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mistral Medium 3.5 |
|---|---|---|
| LMArena Vision | — | 1222 |

## Multilingual

- DeepSeek-V2.5 (Sep 2024): 42.7 (#188)
- Mistral Medium 3.5: 52.1 (#93)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mistral Medium 3.5 |
|---|---|---|
| LMArena Non-English | 1273 | 1405 |
| LMArena Chinese | 1317 | 1443 |
| LMArena French | 1288 | 1448 |
| LMArena German | 1258 | 1453 |
| LMArena Korean | 1209 | 1387 |
| LMArena Russian | 1289 | 1396 |
| LMArena Spanish | 1248 | 1406 |
| LMArena Japanese | 1228 | — |

## Instruction Following

- DeepSeek-V2.5 (Sep 2024): 67.7 (#189)
- Mistral Medium 3.5: 74.7 (#87)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mistral Medium 3.5 |
|---|---|---|
| LMArena Instruction Following | 1280 | 1414 |

## Long Context

- DeepSeek-V2.5 (Sep 2024): 39.5 (#169)
- Mistral Medium 3.5: 43.2 (#101)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mistral Medium 3.5 |
|---|---|---|
| LMArena Longer Query | 1301 | 1414 |

## Writing & Preference

- DeepSeek-V2.5 (Sep 2024): 50.0 (#182)
- Mistral Medium 3.5: 58.6 (#113)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mistral Medium 3.5 |
|---|---|---|
| LMArena Text | 1294 | 1421 |
| LMArena Creative Writing | 1285 | 1372 |
| LMArena Multi-Turn | 1297 | 1423 |
| EQ-Bench 4 | — | 993 |

## FAQ

### Is DeepSeek-V2.5 (Sep 2024) better than Mistral Medium 3.5?

Mistral Medium 3.5 is the stronger model overall, scoring 39.6 to 37.0 on the Noometry Index.

### Is DeepSeek-V2.5 (Sep 2024) or Mistral Medium 3.5 better for coding?

Mistral Medium 3.5 scores higher on coding benchmarks: 35.7 versus 31.3 in the Noometry coding category.

### How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Mistral Medium 3.5 share?

16 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Mistral Medium 3.5 has 22.