Model comparison
DeepSeek-V2 (MoE-236B, May 2024) vs Mistral Small 3.1
Mistral Small 3.1 has enough public results to be ranked (#269); 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 Small 3.1 in 0 categories; one gap is clear of the uncertainty.
Side by side
| DeepSeek-V2 (MoE-236B, May 2024) | Mistral Small 3.1 | |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 40.3 | 31.7 |
| Released | 2024-05-07 | 2025-03-17 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 102K |
| Input $ / M tokens | — | $0.35 |
| Output $ / M tokens | — | $0.56 |
| Results tracked | 10 | 28 |
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): 40.4 (#139), Mistral Small 3.1: 38.3 (#179)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Small 3.1 |
|---|---|---|
| BigCodeBench Instruct | 48.9% | — |
| LMArena Coding | — | 1309 |
| BigCodeBench Complete | 59.4% | — |
Reasoning Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Mistral Small 3.1: 19.7 (#254)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Small 3.1 |
|---|---|---|
| Epoch Capabilities Index | 124.77 | 127.48 |
| Chess Puzzles | — | 1% |
| LMArena Hard Prompts | — | 1278 |
| BIG-Bench Hard | 78.8% | — |
| HellaSwag | 87.1% | — |
| PIQA | 83.9% | — |
| WinoGrande | 86.3% | — |
Math Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Mistral Small 3.1: 14.7 (#301)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Small 3.1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 3.9% |
| Omni-MATH | — | 24.8% |
| LMArena Math | — | 1262 |
Knowledge Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Mistral Small 3.1: 22.6 (#271)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Small 3.1 |
|---|---|---|
| GPQA Diamond | — | 41.9% |
| MMLU-Pro | — | 61% |
| GPQA (HELM) | — | 39.2% |
| LMArena Expert | — | 1257 |
| ARC (AI2) Challenge | 92.2% | — |
| MMLU | 78.4% | — |
| TriviaQA | 80% | — |
Multimodal Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Mistral Small 3.1: 33.2 (#99)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Small 3.1 |
|---|---|---|
| LMArena Vision | — | 1136 |
Multilingual Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Mistral Small 3.1: 41.2 (#209)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Small 3.1 |
|---|---|---|
| LMArena Non-English | — | 1255 |
| LMArena Chinese | — | 1253 |
| LMArena French | — | 1273 |
| LMArena German | — | 1266 |
| LMArena Japanese | — | 1208 |
| LMArena Korean | — | 1206 |
| LMArena Russian | — | 1263 |
| LMArena Spanish | — | 1283 |
Instruction Following Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Mistral Small 3.1: 63.6 (#230)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Small 3.1 |
|---|---|---|
| IFEval | — | 75% |
| LMArena Instruction Following | — | 1264 |
Long Context Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Mistral Small 3.1: 39.5 (#178)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Small 3.1 |
|---|---|---|
| LMArena Longer Query | — | 1299 |
Writing & Preference Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Mistral Small 3.1: 37.0 (#259)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Small 3.1 |
|---|---|---|
| LMArena Text | — | 1277 |
| LMArena Creative Writing | — | 1253 |
| EQ-Bench Creative Writing | — | 761 |
| WildBench | — | 78.8% |
| LMArena Multi-Turn | — | 1270 |
Frequently asked questions
Is DeepSeek-V2 (MoE-236B, May 2024) better than Mistral Small 3.1?
Mistral Small 3.1 has enough public results to be ranked (#269); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Is DeepSeek-V2 (MoE-236B, May 2024) or Mistral Small 3.1 better for coding?
DeepSeek-V2 (MoE-236B, May 2024) scores higher on coding benchmarks: 40.4 versus 38.3 in the Noometry coding category.
How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and Mistral Small 3.1 share?
1 benchmark has published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and Mistral Small 3.1 has 28.