Model comparison
Deepseek Coder v2 vs Mistral Small 3.2
Deepseek Coder v2 is the stronger model overall, scoring 35.9 to 31.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeek
Mistral AISummary
- The widest gap is in math, where Deepseek Coder v2 leads 34.9 to 26.3.
Side by side
| Deepseek Coder v2 | Mistral Small 3.2 | |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 35.9 | 31.2 |
| Released | 2024-06-17 | 2025-06-20 |
| Weights | Open | Open |
| Context window | — | 256K |
| Max output | — | 16K |
| Input $ / M tokens | — | $0.0938 |
| Output $ / M tokens | — | $0.25 |
| Results tracked | 24 | 6 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Not comparable
Deepseek Coder v2: 38.1 (#183), Mistral Small 3.2: —
| Benchmark | Deepseek Coder v2 | Mistral Small 3.2 |
|---|---|---|
| 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 Small 3.2: 18.1 (#287)
| Benchmark | Deepseek Coder v2 | Mistral Small 3.2 |
|---|---|---|
| Kagi LLM Benchmark | — | 40.4% |
| Chess Puzzles | — | 1% |
| LMArena Hard Prompts | 1207 | — |
| Epoch Capabilities Index | — | 131.74 |
| WinoGrande | 83.7% | — |
Math Deepseek Coder v2 leads
Deepseek Coder v2: 34.9 (#190), Mistral Small 3.2: 26.3 (#260)
| Benchmark | Deepseek Coder v2 | Mistral Small 3.2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 30.3% |
| LMArena Math | 1241 | — |
| GSM8K | 94.5% | — |
Knowledge Deepseek Coder v2 leads
Deepseek Coder v2: 32.3 (#212), Mistral Small 3.2: 26.7 (#256)
| Benchmark | Deepseek Coder v2 | Mistral Small 3.2 |
|---|---|---|
| GPQA Diamond | — | 49.1% |
| LMArena Expert | 1181 | — |
| ARC (AI2) Challenge | 64.3% | — |
Multilingual Not comparable
Deepseek Coder v2: 36.3 (#240), Mistral Small 3.2: —
| Benchmark | Deepseek Coder v2 | Mistral Small 3.2 |
|---|---|---|
| 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 Small 3.2: —
| Benchmark | Deepseek Coder v2 | Mistral Small 3.2 |
|---|---|---|
| LMArena Instruction Following | 1180 | — |
Long Context Not comparable
Deepseek Coder v2: 37.0 (#224), Mistral Small 3.2: —
| Benchmark | Deepseek Coder v2 | Mistral Small 3.2 |
|---|---|---|
| LMArena Longer Query | 1219 | — |
Writing & Preference Mistral Small 3.2 leads
Deepseek Coder v2: 38.2 (#253), Mistral Small 3.2: 45.0 (#224)
| Benchmark | Deepseek Coder v2 | Mistral Small 3.2 |
|---|---|---|
| LMArena Text | 1191 | — |
| LMArena Creative Writing | 1120 | — |
| EQ-Bench Creative Writing | — | 1255 |
| LMArena Multi-Turn | 1177 | — |
Frequently asked questions
Is Deepseek Coder v2 better than Mistral Small 3.2?
Deepseek Coder v2 is the stronger model overall, scoring 35.9 to 31.2 on the Noometry Index.
How many benchmarks do Deepseek Coder v2 and Mistral Small 3.2 share?
0 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and Mistral Small 3.2 has 6.