Model comparison
Deepseek Coder v2 vs Mistral
Deepseek Coder v2 is the stronger model overall, scoring 35.9 to 29.9 on the Noometry Index.
Last verified . 17 shared benchmarks.
DeepSeek
Mistral AISummary
- They share 17 benchmarks with published results for both. Deepseek Coder v2 scores higher in 8 categories and Mistral in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Deepseek Coder v2 leads 32.3 to 16.6.
- Deepseek Coder v2 has downloadable open weights; the other is API-only.
Side by side
| Deepseek Coder v2 | Mistral | |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 35.9 | 29.9 |
| Released | 2024-06-17 | — |
| Weights | Open | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 24 | 22 |
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Category by category
Coding Deepseek Coder v2 leads
Deepseek Coder v2: 38.1 (#183), Mistral: 33.8 (#250)
| Benchmark | Deepseek Coder v2 | Mistral |
|---|---|---|
| LMArena Coding | 1251 | 1162 |
| BigCodeBench Instruct | 48.2% | — |
| BigCodeBench Complete | 59.7% | — |
| HumanEval+ | 82.3% | — |
| MBPP+ | 75.1% | — |
Reasoning Deepseek Coder v2 leads
Deepseek Coder v2: 23.6 (#176), Mistral: 22.2 (#200)
| Benchmark | Deepseek Coder v2 | Mistral |
|---|---|---|
| LMArena Hard Prompts | 1207 | 1149 |
| WinoGrande | 83.7% | — |
Math Deepseek Coder v2 leads
Deepseek Coder v2: 34.9 (#190), Mistral: 22.3 (#278)
| Benchmark | Deepseek Coder v2 | Mistral |
|---|---|---|
| LMArena Math | 1241 | 1180 |
| Omni-MATH | — | 7.2% |
| GSM8K | 94.5% | — |
Knowledge Deepseek Coder v2 leads
Deepseek Coder v2: 32.3 (#212), Mistral: 16.6 (#288)
| Benchmark | Deepseek Coder v2 | Mistral |
|---|---|---|
| LMArena Expert | 1181 | 1125 |
| MMLU-Pro | — | 27.7% |
| GPQA (HELM) | — | 30.3% |
| ARC (AI2) Challenge | 64.3% | — |
Multilingual Deepseek Coder v2 leads
Deepseek Coder v2: 36.3 (#240), Mistral: 32.8 (#254)
| Benchmark | Deepseek Coder v2 | Mistral |
|---|---|---|
| LMArena Non-English | 1182 | 1129 |
| LMArena Chinese | 1201 | 1109 |
| LMArena French | 1185 | 1180 |
| LMArena German | 1164 | 1155 |
| LMArena Japanese | 1126 | 1013 |
| LMArena Korean | 1104 | 1032 |
| LMArena Russian | 1188 | 1168 |
| LMArena Spanish | 1153 | 1143 |
Instruction Following Deepseek Coder v2 leads
Deepseek Coder v2: 61.7 (#242), Mistral: 52.6 (#288)
| Benchmark | Deepseek Coder v2 | Mistral |
|---|---|---|
| LMArena Instruction Following | 1180 | 1152 |
| IFEval | — | 56.8% |
Long Context Deepseek Coder v2 leads
Deepseek Coder v2: 37.0 (#224), Mistral: 35.0 (#245)
| Benchmark | Deepseek Coder v2 | Mistral |
|---|---|---|
| LMArena Longer Query | 1219 | 1153 |
Writing & Preference Deepseek Coder v2 leads
Deepseek Coder v2: 38.2 (#253), Mistral: 37.0 (#260)
| Benchmark | Deepseek Coder v2 | Mistral |
|---|---|---|
| LMArena Text | 1191 | 1165 |
| LMArena Creative Writing | 1120 | 1158 |
| LMArena Multi-Turn | 1177 | 1147 |
| WildBench | — | 66% |
Frequently asked questions
Is Deepseek Coder v2 better than Mistral?
Deepseek Coder v2 is the stronger model overall, scoring 35.9 to 29.9 on the Noometry Index.
Is Deepseek Coder v2 or Mistral better for coding?
Deepseek Coder v2 scores higher on coding benchmarks: 38.1 versus 33.8 in the Noometry coding category.
How many benchmarks do Deepseek Coder v2 and Mistral share?
17 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and Mistral has 22.