# DeepSeek-V2 (MoE-236B, May 2024) vs Mistral 7B

> Mistral 7B has enough public results to be ranked (#346); 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-7b
- Last updated: 2026-10-10
- Shared benchmarks: 10

## Summary

- They share 10 benchmarks with published results for both. DeepSeek-V2 (MoE-236B, May 2024) scores higher in 1 category and Mistral 7B in 0 categories; one gap is clear of the uncertainty.
- The widest gap is in coding, where DeepSeek-V2 (MoE-236B, May 2024) leads 39.8 to 25.9.
- The biggest single-benchmark swing is BigCodeBench Complete: 59.4% for DeepSeek-V2 (MoE-236B, May 2024) and 27.3% for Mistral 7B.

## Snapshot

| | DeepSeek-V2 (MoE-236B, May 2024) | Mistral 7B |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 39.7 | 22.9 |
| Rank | — | 346 |
| Context | — | 8K |
| Input $/M | — | $0.25 |
| Output $/M | — | $0.25 |
| Weights | Open | Open |

## Coding

- DeepSeek-V2 (MoE-236B, May 2024): 39.8 (#141)
- Mistral 7B: 25.9 (#321)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral 7B |
|---|---|---|
| BigCodeBench Instruct | 48.9% | 19.5% |
| BigCodeBench Complete | 59.4% | 27.3% |
| LMArena Coding | — | 1082 |
| HumanEval+ | — | 36% |
| MBPP+ | — | 42.1% |

## Reasoning

- DeepSeek-V2 (MoE-236B, May 2024): —
- Mistral 7B: 12.6 (#331)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral 7B |
|---|---|---|
| BIG-Bench Hard | 78.8% | 56.1% |
| Epoch Capabilities Index | 124.78 | 111.97 |
| HellaSwag | 87.1% | 81% |
| PIQA | 83.9% | 83% |
| WinoGrande | 86.3% | 75.3% |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | — | 1067 |
| DTBench | — | 42.5% |
| Adversarial NLI | — | 47.1% |

## Math

- DeepSeek-V2 (MoE-236B, May 2024): —
- Mistral 7B: 7.6 (#319)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral 7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 0.3% |
| LMArena Math | — | 1085 |
| MATH Level 5 | — | 3.7% |
| GSM8K | — | 54.4% |

## Knowledge

- DeepSeek-V2 (MoE-236B, May 2024): —
- Mistral 7B: 7.3 (#306)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral 7B |
|---|---|---|
| ARC (AI2) Challenge | 92.2% | 78.6% |
| MMLU | 78.4% | 62.5% |
| TriviaQA | 80% | 75.2% |
| GPQA Diamond | — | 15.2% |
| LMArena Expert | — | 1036 |
| BoolQ | — | 87.4% |
| OpenBookQA | — | 79.8% |

## Multilingual

- DeepSeek-V2 (MoE-236B, May 2024): —
- Mistral 7B: 26.0 (#278)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral 7B |
|---|---|---|
| LMArena Non-English | — | 1012 |
| LMArena Chinese | — | 1009 |
| LMArena French | — | 1036 |
| LMArena German | — | 987 |
| LMArena Japanese | — | 878 |
| LMArena Russian | — | 1018 |
| LMArena Spanish | — | 1026 |

## Instruction Following

- DeepSeek-V2 (MoE-236B, May 2024): —
- Mistral 7B: 54.5 (#275)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral 7B |
|---|---|---|
| LMArena Instruction Following | — | 1060 |

## Long Context

- DeepSeek-V2 (MoE-236B, May 2024): —
- Mistral 7B: 32.2 (#266)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral 7B |
|---|---|---|
| LMArena Longer Query | — | 1060 |

## Writing & Preference

- DeepSeek-V2 (MoE-236B, May 2024): —
- Mistral 7B: 30.9 (#281)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral 7B |
|---|---|---|
| LMArena Text | — | 1090 |
| LMArena Creative Writing | — | 1068 |
| LMArena Multi-Turn | — | 1062 |

## FAQ

### Is DeepSeek-V2 (MoE-236B, May 2024) better than Mistral 7B?

Mistral 7B has enough public results to be ranked (#346); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.

### Is DeepSeek-V2 (MoE-236B, May 2024) or Mistral 7B better for coding?

DeepSeek-V2 (MoE-236B, May 2024) scores higher on coding benchmarks: 39.8 versus 25.9 in the Noometry coding category.

### How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and Mistral 7B share?

10 benchmarks have published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and Mistral 7B has 37.