Model comparison
DeepSeek-V2 (MoE-236B, May 2024) vs Mistral Small
Mistral Small has enough public results to be ranked (#243); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Last verified . 3 shared benchmarks.
DeepSeek
Mistral AISummary
- They share 3 benchmarks with published results for both. DeepSeek-V2 (MoE-236B, May 2024) scores higher in 1 category and Mistral Small in 0 categories; one gap is clear of the uncertainty.
- The widest gap is in coding, where DeepSeek-V2 (MoE-236B, May 2024) leads 40.4 to 34.0.
- The biggest single-benchmark swing is BigCodeBench Complete: 59.4% for DeepSeek-V2 (MoE-236B, May 2024) and 46.6% for Mistral Small.
Side by side
| DeepSeek-V2 (MoE-236B, May 2024) | Mistral Small | |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 40.3 | 33.4 |
| Released | 2024-05-07 | 2024-02-26 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 256K |
| Input $ / M tokens | — | $0.15 |
| Output $ / M tokens | — | $0.60 |
| Results tracked | 10 | 39 |
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: 34.0 (#247)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Small |
|---|---|---|
| BigCodeBench Instruct | 48.9% | 36.1% |
| BigCodeBench Complete | 59.4% | 46.6% |
| SciCode | — | 26.5% |
| LiveBench Coding | — | 36.2% |
| LMArena Coding | — | 1362 |
| ALE-Bench | — | 497.62 |
Agentic & Tool Use Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Mistral Small: 28.1 (#93)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Small |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.1% |
Reasoning Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Mistral Small: 19.8 (#250)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Small |
|---|---|---|
| Kagi LLM Benchmark | — | 37.8% |
| CritPt | — | 0% |
| LiveBench Reasoning | — | 44.8% |
| LMArena Hard Prompts | — | 1335 |
| DTBench | — | 70.9% |
| LiveBench Data Analysis | — | 53.7% |
| LMCA | — | 20.6% |
| BIG-Bench Hard | 78.8% | — |
| Epoch Capabilities Index | 124.77 | — |
| HellaSwag | 87.1% | — |
| LiveBench | — | 44% |
| PIQA | 83.9% | — |
| WinoGrande | 86.3% | — |
Math Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Mistral Small: 16.4 (#293)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Small |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 5.8% |
| LiveBench Math | — | 39.9% |
| LMArena Math | — | 1341 |
| MATH Level 5 | — | 46.8% |
Knowledge Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Mistral Small: 31.0 (#222)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Small |
|---|---|---|
| MMLU | 78.4% | 68.7% |
| GPQA Diamond | — | 47.5% |
| Vectara Hallucination Rate | — | 5.1% |
| LMArena Expert | — | 1291 |
| ARC (AI2) Challenge | 92.2% | — |
| TriviaQA | 80% | — |
Multimodal Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Mistral Small: 33.5 (#96)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Small |
|---|---|---|
| LMArena Vision | — | 1142 |
Multilingual Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Mistral Small: 45.5 (#169)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Small |
|---|---|---|
| LMArena Non-English | — | 1315 |
| LMArena Chinese | — | 1340 |
| LMArena French | — | 1337 |
| LMArena German | — | 1340 |
| LMArena Japanese | — | 1275 |
| LMArena Korean | — | 1259 |
| LMArena Russian | — | 1324 |
| LMArena Spanish | — | 1346 |
Instruction Following Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Mistral Small: 66.4 (#209)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Small |
|---|---|---|
| LiveBench Instruction Following | — | 63.7% |
| LMArena Instruction Following | — | 1310 |
Long Context Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Mistral Small: 40.4 (#156)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Small |
|---|---|---|
| LMArena Longer Query | — | 1327 |
Writing & Preference Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Mistral Small: 52.5 (#171)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Small |
|---|---|---|
| LMArena Text | — | 1338 |
| LMArena Creative Writing | — | 1305 |
| LMArena Multi-Turn | — | 1344 |
| LiveBench Language | — | 30.5% |
Frequently asked questions
Is DeepSeek-V2 (MoE-236B, May 2024) better than Mistral Small?
Mistral Small has enough public results to be ranked (#243); 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 better for coding?
DeepSeek-V2 (MoE-236B, May 2024) scores higher on coding benchmarks: 40.4 versus 34.0 in the Noometry coding category.
How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and Mistral Small share?
3 benchmarks have published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and Mistral Small has 39.