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

> DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.0 to 33.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v2-5-vs-mistral-small
- Last updated: 2026-10-10
- Shared benchmarks: 19

## Summary

- They share 19 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 4 categories and Mistral Small in 4 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek-V2.5 (Sep 2024) leads 33.3 to 15.4.
- The biggest single-benchmark swing is BigCodeBench Instruct: 48.6% for DeepSeek-V2.5 (Sep 2024) and 36.1% for Mistral Small.

## Snapshot

| | DeepSeek-V2.5 (Sep 2024) | Mistral Small |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 37.0 | 33.1 |
| Rank | 197 | 238 |
| Context | — | 256K |
| Input $/M | — | $0.15 |
| Output $/M | — | $0.60 |
| Weights | Open | Open |

## Coding

- DeepSeek-V2.5 (Sep 2024): 31.3 (#274)
- Mistral Small: 33.5 (#242)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mistral Small |
|---|---|---|
| BigCodeBench Instruct | 48.6% | 36.1% |
| LMArena Coding | 1310 | 1363 |
| BigCodeBench Complete | 53.2% | 46.6% |
| Aider Polyglot | 17.8% | — |
| SciCode | — | 26.5% |
| LiveBench Coding | — | 36.2% |
| ALE-Bench | — | 497.62 |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |

## Agentic & Tool Use

- DeepSeek-V2.5 (Sep 2024): —
- Mistral Small: 27.9 (#87)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mistral Small |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.1% |

## Reasoning

- DeepSeek-V2.5 (Sep 2024): 24.5 (#145)
- Mistral Small: 19.3 (#238)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mistral Small |
|---|---|---|
| LMArena Hard Prompts | 1289 | 1336 |
| Kagi LLM Benchmark | — | 37.8% |
| CritPt | — | 0% |
| LiveBench Reasoning | — | 44.8% |
| DTBench | — | 70.9% |
| LiveBench Data Analysis | — | 53.7% |
| LMCA | — | 20.6% |
| LiveBench | — | 44% |

## Math

- DeepSeek-V2.5 (Sep 2024): 33.3 (#177)
- Mistral Small: 15.4 (#287)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mistral Small |
|---|---|---|
| LMArena Math | 1289 | 1341 |
| OTIS Mock AIME 2024-2025 | — | 5.8% |
| LiveBench Math | — | 39.9% |
| MATH Level 5 | — | 46.8% |

## Knowledge

- DeepSeek-V2.5 (Sep 2024): 34.2 (#190)
- Mistral Small: 30.9 (#214)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mistral Small |
|---|---|---|
| LMArena Expert | 1266 | 1293 |
| GPQA Diamond | — | 47.5% |
| Vectara Hallucination Rate | — | 5.1% |
| MMLU | — | 68.7% |

## Multimodal

- DeepSeek-V2.5 (Sep 2024): —
- Mistral Small: 32.9 (#91)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mistral Small |
|---|---|---|
| LMArena Vision | — | 1142 |

## Multilingual

- DeepSeek-V2.5 (Sep 2024): 42.7 (#188)
- Mistral Small: 45.7 (#164)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mistral Small |
|---|---|---|
| LMArena Non-English | 1273 | 1315 |
| LMArena Chinese | 1317 | 1342 |
| LMArena French | 1288 | 1337 |
| LMArena German | 1258 | 1341 |
| LMArena Japanese | 1228 | 1275 |
| LMArena Korean | 1209 | 1260 |
| LMArena Russian | 1289 | 1324 |
| LMArena Spanish | 1248 | 1346 |

## Instruction Following

- DeepSeek-V2.5 (Sep 2024): 67.7 (#189)
- Mistral Small: 66.6 (#204)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mistral Small |
|---|---|---|
| LMArena Instruction Following | 1280 | 1310 |
| LiveBench Instruction Following | — | 63.7% |

## Long Context

- DeepSeek-V2.5 (Sep 2024): 39.5 (#169)
- Mistral Small: 40.4 (#151)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mistral Small |
|---|---|---|
| LMArena Longer Query | 1301 | 1327 |

## Writing & Preference

- DeepSeek-V2.5 (Sep 2024): 50.0 (#182)
- Mistral Small: 52.6 (#165)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Mistral Small |
|---|---|---|
| LMArena Text | 1294 | 1338 |
| LMArena Creative Writing | 1285 | 1304 |
| LMArena Multi-Turn | 1297 | 1344 |
| LiveBench Language | — | 30.5% |

## FAQ

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

DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.0 to 33.1 on the Noometry Index.

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

Mistral Small scores higher on coding benchmarks: 33.5 versus 31.3 in the Noometry coding category.

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

19 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Mistral Small has 39.