Model comparison
Deepseek Coder v2 vs Pixtral Large
Deepseek Coder v2 is the stronger model overall, scoring 35.9 to 32.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in writing & preference, where Deepseek Coder v2 leads 38.2 to 32.9.
Side by side
| Deepseek Coder v2 | Pixtral Large | |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 35.9 | 32.2 |
| Released | 2024-06-17 | 2024-11-01 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 128K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $6 |
| Results tracked | 24 | 3 |
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Category by category
Coding Not comparable
Deepseek Coder v2: 38.1 (#183), Pixtral Large: —
| Benchmark | Deepseek Coder v2 | Pixtral Large |
|---|---|---|
| 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), Pixtral Large: 21.7 (#218)
| Benchmark | Deepseek Coder v2 | Pixtral Large |
|---|---|---|
| EnigmaEval | — | 0.8% |
| LMArena Hard Prompts | 1207 | — |
| WinoGrande | 83.7% | — |
Math Not comparable
Deepseek Coder v2: 34.9 (#190), Pixtral Large: —
| Benchmark | Deepseek Coder v2 | Pixtral Large |
|---|---|---|
| LMArena Math | 1241 | — |
| GSM8K | 94.5% | — |
Knowledge Not comparable
Deepseek Coder v2: 32.3 (#212), Pixtral Large: —
| Benchmark | Deepseek Coder v2 | Pixtral Large |
|---|---|---|
| LMArena Expert | 1181 | — |
| ARC (AI2) Challenge | 64.3% | — |
Multimodal Not comparable
Deepseek Coder v2: —, Pixtral Large: 30.6 (#111)
| Benchmark | Deepseek Coder v2 | Pixtral Large |
|---|---|---|
| LMArena Vision | — | 1089 |
Multilingual Not comparable
Deepseek Coder v2: 36.3 (#240), Pixtral Large: —
| Benchmark | Deepseek Coder v2 | Pixtral Large |
|---|---|---|
| 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), Pixtral Large: —
| Benchmark | Deepseek Coder v2 | Pixtral Large |
|---|---|---|
| LMArena Instruction Following | 1180 | — |
Long Context Not comparable
Deepseek Coder v2: 37.0 (#224), Pixtral Large: —
| Benchmark | Deepseek Coder v2 | Pixtral Large |
|---|---|---|
| LMArena Longer Query | 1219 | — |
Writing & Preference Deepseek Coder v2 leads
Deepseek Coder v2: 38.2 (#253), Pixtral Large: 32.9 (#278)
| Benchmark | Deepseek Coder v2 | Pixtral Large |
|---|---|---|
| LMArena Text | 1191 | — |
| LMArena Creative Writing | 1120 | — |
| EQ-Bench Creative Writing | — | 988 |
| LMArena Multi-Turn | 1177 | — |
Frequently asked questions
Is Deepseek Coder v2 better than Pixtral Large?
Deepseek Coder v2 is the stronger model overall, scoring 35.9 to 32.2 on the Noometry Index.
How many benchmarks do Deepseek Coder v2 and Pixtral Large share?
0 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and Pixtral Large has 3.