Model comparison
DeepSeek-V2 (MoE-236B, May 2024) vs Mistral Small 3.2
Mistral Small 3.2 has enough public results to be ranked (#280); 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.
Side by side
| DeepSeek-V2 (MoE-236B, May 2024) | Mistral Small 3.2 | |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 40.3 | 31.2 |
| Released | 2024-05-07 | 2025-06-20 |
| Weights | Open | Open |
| Context window | — | 256K |
| Max output | — | 16K |
| Input $ / M tokens | — | $0.0938 |
| Output $ / M tokens | — | $0.25 |
| Results tracked | 10 | 6 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Not comparable
DeepSeek-V2 (MoE-236B, May 2024): 40.4 (#139), Mistral Small 3.2: —
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Small 3.2 |
|---|---|---|
| BigCodeBench Instruct | 48.9% | — |
| BigCodeBench Complete | 59.4% | — |
Reasoning Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Mistral Small 3.2: 18.1 (#287)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Small 3.2 |
|---|---|---|
| Epoch Capabilities Index | 124.77 | 131.74 |
| Kagi LLM Benchmark | — | 40.4% |
| Chess Puzzles | — | 1% |
| 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 3.2: 26.3 (#260)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Small 3.2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 30.3% |
Knowledge Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Mistral Small 3.2: 26.7 (#256)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Small 3.2 |
|---|---|---|
| GPQA Diamond | — | 49.1% |
| ARC (AI2) Challenge | 92.2% | — |
| MMLU | 78.4% | — |
| TriviaQA | 80% | — |
Writing & Preference Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Mistral Small 3.2: 45.0 (#224)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Small 3.2 |
|---|---|---|
| EQ-Bench Creative Writing | — | 1255 |
Frequently asked questions
Is DeepSeek-V2 (MoE-236B, May 2024) better than Mistral Small 3.2?
Mistral Small 3.2 has enough public results to be ranked (#280); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and Mistral Small 3.2 share?
1 benchmark has published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and Mistral Small 3.2 has 6.