Model comparison
DeepSeek-V2 (MoE-236B, May 2024) vs Mistral Nemo
Mistral Nemo has enough public results to be ranked (#337); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Last verified . 2 shared benchmarks.
Summary
- They share 2 benchmarks with published results for both.
Side by side
| DeepSeek-V2 (MoE-236B, May 2024) | Mistral Nemo | |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 40.3 | 26.4 |
| Released | 2024-05-07 | 2024-07-01 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 128K |
| Input $ / M tokens | — | $0.15 |
| Output $ / M tokens | — | $0.15 |
| Results tracked | 10 | 10 |
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Category by category
Coding Not comparable
DeepSeek-V2 (MoE-236B, May 2024): 40.4 (#139), Mistral Nemo: —
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Nemo |
|---|---|---|
| BigCodeBench Instruct | 48.9% | — |
| BigCodeBench Complete | 59.4% | — |
Agentic & Tool Use Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Mistral Nemo: 23.5 (#125)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Nemo |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 27.6% |
| BALROG | — | 17.6% |
Reasoning Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Mistral Nemo: 20.7 (#232)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Nemo |
|---|---|---|
| Epoch Capabilities Index | 124.77 | 118.68 |
| PIQA | 83.9% | 83.5% |
| DTBench | — | 48.6% |
| BIG-Bench Hard | 78.8% | — |
| HellaSwag | 87.1% | — |
| WinoGrande | 86.3% | — |
Math Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Mistral Nemo: 25.5 (#268)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Nemo |
|---|---|---|
| MATH Level 5 | — | 10.8% |
| GSM8K | — | 84.2% |
Knowledge Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Mistral Nemo: 12.3 (#298)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Nemo |
|---|---|---|
| GPQA Diamond | — | 29.9% |
| ARC (AI2) Challenge | 92.2% | — |
| BoolQ | — | 82.5% |
| MMLU | 78.4% | — |
| TriviaQA | 80% | — |
Writing & Preference Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Mistral Nemo: 28.5 (#296)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Mistral Nemo |
|---|---|---|
| EQ-Bench Creative Writing | — | 881 |
Frequently asked questions
Is DeepSeek-V2 (MoE-236B, May 2024) better than Mistral Nemo?
Mistral Nemo has enough public results to be ranked (#337); 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 Nemo share?
2 benchmarks have published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and Mistral Nemo has 10.