Model comparison
Deepseek Coder v2 vs Magistral Small
Deepseek Coder v2 is the stronger model overall, scoring 35.9 to 30.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeek
Mistral AISummary
- The widest gap is in reasoning, where Deepseek Coder v2 leads 23.6 to 6.8.
Side by side
| Deepseek Coder v2 | Magistral Small | |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 35.9 | 30.2 |
| Released | 2024-06-17 | 2025-06-10 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 40K |
| Input $ / M tokens | — | $0.50 |
| Output $ / M tokens | — | $1.50 |
| Results tracked | 24 | 10 |
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Category by category
Coding Too close to call
Deepseek Coder v2: 38.1 (#183), Magistral Small: 38.4 (#176)
| Benchmark | Deepseek Coder v2 | Magistral Small |
|---|---|---|
| SciCode | — | 35.2% |
| 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), Magistral Small: 6.8 (#350)
| Benchmark | Deepseek Coder v2 | Magistral Small |
|---|---|---|
| ARC-AGI-2 | — | 0% |
| Kagi LLM Benchmark | — | 6.3% |
| ARC-AGI-1 | — | 5% |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 3% |
| LMArena Hard Prompts | 1207 | — |
| DTBench | — | 61.3% |
| Epoch Capabilities Index | — | 133.19 |
| WinoGrande | 83.7% | — |
Math Deepseek Coder v2 leads
Deepseek Coder v2: 34.9 (#190), Magistral Small: 26.2 (#261)
| Benchmark | Deepseek Coder v2 | Magistral Small |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 30% |
| LMArena Math | 1241 | — |
| GSM8K | 94.5% | — |
Knowledge Deepseek Coder v2 leads
Deepseek Coder v2: 32.3 (#212), Magistral Small: 30.9 (#223)
| Benchmark | Deepseek Coder v2 | Magistral Small |
|---|---|---|
| GPQA Diamond | — | 56.1% |
| LMArena Expert | 1181 | — |
| ARC (AI2) Challenge | 64.3% | — |
Multilingual Not comparable
Deepseek Coder v2: 36.3 (#240), Magistral Small: —
| Benchmark | Deepseek Coder v2 | Magistral Small |
|---|---|---|
| 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), Magistral Small: —
| Benchmark | Deepseek Coder v2 | Magistral Small |
|---|---|---|
| LMArena Instruction Following | 1180 | — |
Long Context Not comparable
Deepseek Coder v2: 37.0 (#224), Magistral Small: —
| Benchmark | Deepseek Coder v2 | Magistral Small |
|---|---|---|
| LMArena Longer Query | 1219 | — |
Writing & Preference Not comparable
Deepseek Coder v2: 38.2 (#253), Magistral Small: —
| Benchmark | Deepseek Coder v2 | Magistral Small |
|---|---|---|
| LMArena Text | 1191 | — |
| LMArena Creative Writing | 1120 | — |
| LMArena Multi-Turn | 1177 | — |
Frequently asked questions
Is Deepseek Coder v2 better than Magistral Small?
Deepseek Coder v2 is the stronger model overall, scoring 35.9 to 30.2 on the Noometry Index.
Is Deepseek Coder v2 or Magistral Small better for coding?
They score almost the same on coding (38.1 vs 38.4); test both on your own repository before choosing.
How many benchmarks do Deepseek Coder v2 and Magistral Small share?
0 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and Magistral Small has 10.