Model comparison
Deepseek Coder v2 vs Mistral Medium 3.1
Deepseek Coder v2 is the stronger model overall, scoring 35.9 to 31.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeek
Mistral AISummary
- The widest gap is in writing & preference, where Mistral Medium 3.1 leads 55.5 to 38.2.
- Deepseek Coder v2 has downloadable open weights; the other is API-only.
Side by side
| Deepseek Coder v2 | Mistral Medium 3.1 | |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 35.9 | 31.9 |
| Released | 2024-06-17 | — |
| Weights | Open | Proprietary |
| Context window | — | 131K |
| Max output | — | 105K |
| Input $ / M tokens | — | $0.40 |
| Output $ / M tokens | — | $2 |
| Results tracked | 24 | 3 |
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Category by category
Coding Not comparable
Deepseek Coder v2: 38.1 (#183), Mistral Medium 3.1: —
| Benchmark | Deepseek Coder v2 | Mistral Medium 3.1 |
|---|---|---|
| BigCodeBench Instruct | 48.2% | — |
| LMArena Coding | 1251 | — |
| BigCodeBench Complete | 59.7% | — |
| HumanEval+ | 82.3% | — |
| MBPP+ | 75.1% | — |
Reasoning Deepseek Coder v2 leads
Deepseek Coder v2: 23.6 (#176), Mistral Medium 3.1: 10.6 (#341)
| Benchmark | Deepseek Coder v2 | Mistral Medium 3.1 |
|---|---|---|
| NYT Connections (extended) | — | 6.5% |
| Thematic Generalization | — | 20.3% |
| LMArena Hard Prompts | 1207 | — |
| WinoGrande | 83.7% | — |
Math Not comparable
Deepseek Coder v2: 34.9 (#190), Mistral Medium 3.1: —
| Benchmark | Deepseek Coder v2 | Mistral Medium 3.1 |
|---|---|---|
| LMArena Math | 1241 | — |
| GSM8K | 94.5% | — |
Knowledge Not comparable
Deepseek Coder v2: 32.3 (#212), Mistral Medium 3.1: —
| Benchmark | Deepseek Coder v2 | Mistral Medium 3.1 |
|---|---|---|
| LMArena Expert | 1181 | — |
| ARC (AI2) Challenge | 64.3% | — |
Multilingual Not comparable
Deepseek Coder v2: 36.3 (#240), Mistral Medium 3.1: —
| Benchmark | Deepseek Coder v2 | Mistral Medium 3.1 |
|---|---|---|
| LMArena Non-English | 1182 | — |
| LMArena Chinese | 1201 | — |
| LMArena French | 1185 | — |
| LMArena German | 1164 | — |
| LMArena Japanese | 1126 | — |
| LMArena Korean | 1104 | — |
| LMArena Russian | 1188 | — |
| LMArena Spanish | 1153 | — |
Instruction Following Not comparable
Deepseek Coder v2: 61.7 (#242), Mistral Medium 3.1: —
| Benchmark | Deepseek Coder v2 | Mistral Medium 3.1 |
|---|---|---|
| LMArena Instruction Following | 1180 | — |
Long Context Not comparable
Deepseek Coder v2: 37.0 (#224), Mistral Medium 3.1: —
| Benchmark | Deepseek Coder v2 | Mistral Medium 3.1 |
|---|---|---|
| LMArena Longer Query | 1219 | — |
Writing & Preference Mistral Medium 3.1 leads
Deepseek Coder v2: 38.2 (#253), Mistral Medium 3.1: 55.5 (#145)
| Benchmark | Deepseek Coder v2 | Mistral Medium 3.1 |
|---|---|---|
| LMArena Text | 1191 | — |
| LMArena Creative Writing | 1120 | — |
| EQ-Bench Creative Writing | — | 1476 |
| LMArena Multi-Turn | 1177 | — |
Frequently asked questions
Is Deepseek Coder v2 better than Mistral Medium 3.1?
Deepseek Coder v2 is the stronger model overall, scoring 35.9 to 31.9 on the Noometry Index.
How many benchmarks do Deepseek Coder v2 and Mistral Medium 3.1 share?
0 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and Mistral Medium 3.1 has 3.