# DeepSeek-V2 (MoE-236B, May 2024) vs Magistral Medium

> Magistral Medium has enough public results to be ranked (#224); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/deepseek-v2-vs-magistral-medium
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Snapshot

| | DeepSeek-V2 (MoE-236B, May 2024) | Magistral Medium |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 39.7 | 34.8 |
| Rank | — | 224 |
| Context | — | 128K |
| Input $/M | — | $2 |
| Output $/M | — | $5 |
| Weights | Open | Open |

## Coding

- DeepSeek-V2 (MoE-236B, May 2024): 39.8 (#141)
- Magistral Medium: 38.6 (#161)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Magistral Medium |
|---|---|---|
| SciCode | — | 39.2% |
| BigCodeBench Instruct | 48.9% | — |
| LMArena Coding | — | 1319 |
| BigCodeBench Complete | 59.4% | — |

## Reasoning

- DeepSeek-V2 (MoE-236B, May 2024): —
- Magistral Medium: 8.7 (#342)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Magistral Medium |
|---|---|---|
| ARC-AGI-2 | — | 0% |
| Kagi LLM Benchmark | — | 16.2% |
| ARC-AGI-1 | — | 6.1% |
| CritPt | — | 0.3% |
| LMArena Hard Prompts | — | 1267 |
| BIG-Bench Hard | 78.8% | — |
| Epoch Capabilities Index | 124.78 | — |
| HellaSwag | 87.1% | — |
| PIQA | 83.9% | — |
| WinoGrande | 86.3% | — |

## Math

- DeepSeek-V2 (MoE-236B, May 2024): —
- Magistral Medium: 32.4 (#187)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Magistral Medium |
|---|---|---|
| LMArena Math | — | 1249 |

## Knowledge

- DeepSeek-V2 (MoE-236B, May 2024): —
- Magistral Medium: 32.9 (#199)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Magistral Medium |
|---|---|---|
| LMArena Expert | — | 1222 |
| ARC (AI2) Challenge | 92.2% | — |
| MMLU | 78.4% | — |
| TriviaQA | 80% | — |

## Multilingual

- DeepSeek-V2 (MoE-236B, May 2024): —
- Magistral Medium: 39.8 (#219)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Magistral Medium |
|---|---|---|
| LMArena Non-English | — | 1232 |
| LMArena Chinese | — | 1225 |
| LMArena French | — | 1268 |
| LMArena German | — | 1248 |
| LMArena Japanese | — | 1176 |
| LMArena Korean | — | 1125 |
| LMArena Russian | — | 1224 |
| LMArena Spanish | — | 1269 |

## Instruction Following

- DeepSeek-V2 (MoE-236B, May 2024): —
- Magistral Medium: 66.2 (#207)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Magistral Medium |
|---|---|---|
| LMArena Instruction Following | — | 1254 |

## Long Context

- DeepSeek-V2 (MoE-236B, May 2024): —
- Magistral Medium: 39.3 (#178)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Magistral Medium |
|---|---|---|
| LMArena Longer Query | — | 1295 |

## Writing & Preference

- DeepSeek-V2 (MoE-236B, May 2024): —
- Magistral Medium: 46.5 (#214)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Magistral Medium |
|---|---|---|
| LMArena Text | — | 1255 |
| LMArena Creative Writing | — | 1245 |
| LMArena Multi-Turn | — | 1275 |

## FAQ

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

Magistral Medium has enough public results to be ranked (#224); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.

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

DeepSeek-V2 (MoE-236B, May 2024) scores higher on coding benchmarks: 39.8 versus 38.6 in the Noometry coding category.

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

0 benchmarks have published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and Magistral Medium has 22.