Model comparison
DeepSeek-V2 (MoE-236B, May 2024) vs Magistral Medium
Magistral Medium has enough public results to be ranked (#227); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
DeepSeek
Mistral AISide by side
| DeepSeek-V2 (MoE-236B, May 2024) | Magistral Medium | |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 40.3 | 35.2 |
| Released | 2024-05-07 | 2025-03-17 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 16K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $5 |
| Results tracked | 10 | 22 |
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Category by category
Coding DeepSeek-V2 (MoE-236B, May 2024) leads
DeepSeek-V2 (MoE-236B, May 2024): 40.4 (#139), Magistral Medium: 39.1 (#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 Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Magistral Medium: 8.6 (#348)
| 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 | 124.77 | — |
| HellaSwag | 87.1% | — |
| PIQA | 83.9% | — |
| WinoGrande | 86.3% | — |
Math Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Magistral Medium: 35.1 (#189)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Magistral Medium |
|---|---|---|
| LMArena Math | — | 1250 |
Knowledge Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Magistral Medium: 33.5 (#202)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Magistral Medium |
|---|---|---|
| LMArena Expert | — | 1223 |
| ARC (AI2) Challenge | 92.2% | — |
| MMLU | 78.4% | — |
| TriviaQA | 80% | — |
Multilingual Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Magistral Medium: 39.6 (#224)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Magistral Medium |
|---|---|---|
| LMArena Non-English | — | 1232 |
| LMArena Chinese | — | 1227 |
| LMArena French | — | 1267 |
| LMArena German | — | 1248 |
| LMArena Japanese | — | 1175 |
| LMArena Korean | — | 1125 |
| LMArena Russian | — | 1224 |
| LMArena Spanish | — | 1271 |
Instruction Following Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Magistral Medium: 66.0 (#211)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Magistral Medium |
|---|---|---|
| LMArena Instruction Following | — | 1254 |
Long Context Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Magistral Medium: 39.3 (#183)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Magistral Medium |
|---|---|---|
| LMArena Longer Query | — | 1295 |
Writing & Preference Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Magistral Medium: 46.3 (#219)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Magistral Medium |
|---|---|---|
| LMArena Text | — | 1255 |
| LMArena Creative Writing | — | 1245 |
| LMArena Multi-Turn | — | 1275 |
Frequently asked questions
Is DeepSeek-V2 (MoE-236B, May 2024) better than Magistral Medium?
Magistral Medium has enough public results to be ranked (#227); 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: 40.4 versus 39.1 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.