Model comparison
DeepSeek-V2 (MoE-236B, May 2024) vs Mistral Medium 3.5
Mistral Medium 3.5 has enough public results to be ranked (#151); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Last verified . 1 shared benchmarks.
DeepSeek
Mistral AISummary
- They share 1 benchmark with published results for both. DeepSeek-V2 (MoE-236B, May 2024) scores higher in 1 category and Mistral Medium 3.5 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 35.7.
Side by side
| DeepSeek-V2 (MoE-236B, May 2024) | Mistral Medium 3.5 | |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 39.7 | 39.6 |
| Released | 2024-05-07 | — |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 210K |
| Input $ / M tokens | — | $1.50 |
| Output $ / M tokens | — | $7.50 |
| Results tracked | 10 | 22 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding DeepSeek-V2 (MoE-236B, May 2024) leads
DeepSeek-V2 (MoE-236B, May 2024): 39.8 (#141), Mistral Medium 3.5: 35.7 (#208)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Medium 3.5 |
|---|---|---|
| LMArena WebDev | — | 1263 |
| BigCodeBench Instruct | 48.9% | — |
| LMArena Coding | — | 1461 |
| BigCodeBench Complete | 59.4% | — |
Reasoning Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Mistral Medium 3.5: 16.6 (#290)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Medium 3.5 |
|---|---|---|
| Epoch Capabilities Index | 124.78 | 141.42 |
| Kagi LLM Benchmark | — | 41.4% |
| NYT Connections (extended) | — | 12.9% |
| LMArena Hard Prompts | — | 1436 |
| BIG-Bench Hard | 78.8% | — |
| HellaSwag | 87.1% | — |
| PIQA | 83.9% | — |
| WinoGrande | 86.3% | — |
Math Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Mistral Medium 3.5: 36.4 (#113)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Medium 3.5 |
|---|---|---|
| LMArena Math | — | 1432 |
Knowledge Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Mistral Medium 3.5: 39.3 (#123)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Medium 3.5 |
|---|---|---|
| LMArena Expert | — | 1431 |
| ARC (AI2) Challenge | 92.2% | — |
| MMLU | 78.4% | — |
| TriviaQA | 80% | — |
Multimodal Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Mistral Medium 3.5: 37.6 (#64)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Medium 3.5 |
|---|---|---|
| LMArena Vision | — | 1222 |
Multilingual Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Mistral Medium 3.5: 52.1 (#93)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Medium 3.5 |
|---|---|---|
| LMArena Non-English | — | 1405 |
| LMArena Chinese | — | 1443 |
| LMArena French | — | 1448 |
| LMArena German | — | 1453 |
| LMArena Korean | — | 1387 |
| LMArena Russian | — | 1396 |
| LMArena Spanish | — | 1406 |
Instruction Following Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Mistral Medium 3.5: 74.7 (#87)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Medium 3.5 |
|---|---|---|
| LMArena Instruction Following | — | 1414 |
Long Context Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Mistral Medium 3.5: 43.2 (#101)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Medium 3.5 |
|---|---|---|
| LMArena Longer Query | — | 1414 |
Writing & Preference Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Mistral Medium 3.5: 58.6 (#113)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Medium 3.5 |
|---|---|---|
| LMArena Text | — | 1421 |
| LMArena Creative Writing | — | 1372 |
| EQ-Bench 4 | — | 993 |
| LMArena Multi-Turn | — | 1423 |
Frequently asked questions
Is DeepSeek-V2 (MoE-236B, May 2024) better than Mistral Medium 3.5?
Mistral Medium 3.5 has enough public results to be ranked (#151); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Is DeepSeek-V2 (MoE-236B, May 2024) or Mistral Medium 3.5 better for coding?
DeepSeek-V2 (MoE-236B, May 2024) scores higher on coding benchmarks: 39.8 versus 35.7 in the Noometry coding category.
How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and Mistral Medium 3.5 share?
1 benchmark has published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and Mistral Medium 3.5 has 22.