# DeepSeek-V2 (MoE-236B, May 2024) vs Mistral Large

> Mistral Large has enough public results to be ranked (#263); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/deepseek-v2-vs-mistral-large
- Last updated: 2026-10-10
- Shared benchmarks: 4

## Summary

- They share 4 benchmarks with published results for both. DeepSeek-V2 (MoE-236B, May 2024) scores higher in 1 category and Mistral Large in 0 categories; one gap is clear of the uncertainty.
- The widest gap is in coding, where DeepSeek-V2 (MoE-236B, May 2024) leads 40.4 to 34.3.
- The biggest single-benchmark swing is BigCodeBench Complete: 59.4% for DeepSeek-V2 (MoE-236B, May 2024) and 38.3% for Mistral Large.

## Snapshot

| | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Large |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 40.3 | 31.9 |
| Rank | — | 263 |
| Context | — | 131K |
| Input $/M | — | $2 |
| Output $/M | — | $6 |
| Weights | Open | Open |

## Coding

- DeepSeek-V2 (MoE-236B, May 2024): 40.4 (#139)
- Mistral Large: 34.3 (#240)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Large |
|---|---|---|
| BigCodeBench Instruct | 48.9% | 30% |
| BigCodeBench Complete | 59.4% | 38.3% |
| SciCode | — | 36.2% |
| LiveBench Coding | — | 47.1% |
| LMArena Coding | — | 1277 |
| ALE-Bench | — | 264.7 |
| HumanEval+ | — | 62.2% |
| MBPP+ | — | 59.5% |

## Agentic & Tool Use

- DeepSeek-V2 (MoE-236B, May 2024): —
- Mistral Large: 28.6 (#89)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 38.4% |

## Reasoning

- DeepSeek-V2 (MoE-236B, May 2024): —
- Mistral Large: 15.8 (#310)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Large |
|---|---|---|
| Epoch Capabilities Index | 124.77 | 128.52 |
| SimpleBench | — | 22.5% |
| CritPt | — | 0% |
| LiveBench Reasoning | — | 43.5% |
| LMArena Hard Prompts | — | 1257 |
| DTBench | — | 65.1% |
| LiveBench Data Analysis | — | 50.1% |
| LMCA | — | 16.7% |
| BIG-Bench Hard | 78.8% | — |
| ForecastBench | — | 57.1 |
| HellaSwag | 87.1% | — |
| LiveBench | — | 48.4% |
| PIQA | 83.9% | — |
| WinoGrande | 86.3% | — |

## Math

- DeepSeek-V2 (MoE-236B, May 2024): —
- Mistral Large: 18.2 (#291)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 8.5% |
| Omni-MATH | — | 28.1% |
| LiveBench Math | — | 42.5% |
| LMArena Math | — | 1262 |
| MATH Level 5 | — | 50.3% |
| FrontierMath (Feb 2025 set) | — | 0.3% |

## Knowledge

- DeepSeek-V2 (MoE-236B, May 2024): —
- Mistral Large: 30.1 (#230)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Large |
|---|---|---|
| MMLU | 78.4% | 80% |
| GPQA Diamond | — | 51.3% |
| MMLU-Pro | — | 59.9% |
| Confabulations | — | 21.4% |
| Vectara Hallucination Rate | — | 4.5% |
| GPQA (HELM) | — | 43.5% |
| LMArena Expert | — | 1232 |
| ARC (AI2) Challenge | 92.2% | — |
| TriviaQA | 80% | — |

## Multilingual

- DeepSeek-V2 (MoE-236B, May 2024): —
- Mistral Large: 40.0 (#219)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Large |
|---|---|---|
| LMArena Non-English | — | 1237 |
| LMArena Chinese | — | 1240 |
| LMArena French | — | 1325 |
| LMArena German | — | 1254 |
| LMArena Japanese | — | 1188 |
| LMArena Korean | — | 1202 |
| LMArena Russian | — | 1257 |
| LMArena Spanish | — | 1268 |

## Instruction Following

- DeepSeek-V2 (MoE-236B, May 2024): —
- Mistral Large: 67.9 (#191)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Large |
|---|---|---|
| LiveBench Instruction Following | — | 67.9% |
| IFEval | — | 87.7% |
| LMArena Instruction Following | — | 1249 |

## Long Context

- DeepSeek-V2 (MoE-236B, May 2024): —
- Mistral Large: 38.3 (#199)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Large |
|---|---|---|
| LMArena Longer Query | — | 1261 |

## Writing & Preference

- DeepSeek-V2 (MoE-236B, May 2024): —
- Mistral Large: 40.7 (#242)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Large |
|---|---|---|
| LMArena Text | — | 1266 |
| LMArena Creative Writing | — | 1243 |
| Short-Story Creative Writing | — | 69% |
| EQ-Bench Creative Writing | — | 985 |
| WildBench | — | 80.1% |
| LMArena Multi-Turn | — | 1260 |
| LiveBench Language | — | 39.4% |

## FAQ

### Is DeepSeek-V2 (MoE-236B, May 2024) better than Mistral Large?

Mistral Large has enough public results to be ranked (#263); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.

### Is DeepSeek-V2 (MoE-236B, May 2024) or Mistral Large better for coding?

DeepSeek-V2 (MoE-236B, May 2024) scores higher on coding benchmarks: 40.4 versus 34.3 in the Noometry coding category.

### How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and Mistral Large share?

4 benchmarks have published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and Mistral Large has 51.