Model comparison
DeepSeek Coder 1.3B vs Mistral Medium 3.5
Mistral Medium 3.5 has enough public results to be ranked (#151); DeepSeek Coder 1.3B does not yet, so treat this comparison as directional.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both. DeepSeek Coder 1.3B scores higher in 0 categories and Mistral Medium 3.5 in 1 category; one gap is clear of the uncertainty.
- The widest gap is in coding, where Mistral Medium 3.5 leads 35.7 to 30.7.
Side by side
| DeepSeek Coder 1.3B | Mistral Medium 3.5 | |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 34.5 | 39.6 |
| Released | 2023-11-02 | — |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 210K |
| Input $ / M tokens | — | $1.50 |
| Output $ / M tokens | — | $7.50 |
| Results tracked | 9 | 22 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Mistral Medium 3.5 leads
DeepSeek Coder 1.3B: 30.7 (#282), Mistral Medium 3.5: 35.7 (#208)
| Benchmark | DeepSeek Coder 1.3B | Mistral Medium 3.5 |
|---|---|---|
| LMArena WebDev | — | 1263 |
| BigCodeBench Instruct | 22.8% | — |
| LMArena Coding | — | 1461 |
| BigCodeBench Complete | 29.6% | — |
| HumanEval+ | 60.4% | — |
| MBPP+ | 54.8% | — |
Reasoning Not comparable
DeepSeek Coder 1.3B: —, Mistral Medium 3.5: 16.6 (#290)
| Benchmark | DeepSeek Coder 1.3B | Mistral Medium 3.5 |
|---|---|---|
| Epoch Capabilities Index | 62.18 | 141.42 |
| Kagi LLM Benchmark | — | 41.4% |
| NYT Connections (extended) | — | 12.9% |
| LMArena Hard Prompts | — | 1436 |
| WinoGrande | 53.3% | — |
Math Not comparable
DeepSeek Coder 1.3B: —, Mistral Medium 3.5: 36.4 (#113)
| Benchmark | DeepSeek Coder 1.3B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Math | — | 1432 |
| GSM8K | 4.4% | — |
Knowledge Not comparable
DeepSeek Coder 1.3B: —, Mistral Medium 3.5: 39.3 (#123)
| Benchmark | DeepSeek Coder 1.3B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Expert | — | 1431 |
| ARC (AI2) Challenge | 25.4% | — |
| MMLU | 25.8% | — |
Multimodal Not comparable
DeepSeek Coder 1.3B: —, Mistral Medium 3.5: 37.6 (#64)
| Benchmark | DeepSeek Coder 1.3B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Vision | — | 1222 |
Multilingual Not comparable
DeepSeek Coder 1.3B: —, Mistral Medium 3.5: 52.1 (#93)
| Benchmark | DeepSeek Coder 1.3B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Non-English | — | 1405 |
| LMArena Chinese | — | 1443 |
| LMArena French | — | 1448 |
| LMArena German | — | 1453 |
| LMArena Korean | — | 1387 |
| LMArena Russian | — | 1396 |
| LMArena Spanish | — | 1406 |
Instruction Following Not comparable
DeepSeek Coder 1.3B: —, Mistral Medium 3.5: 74.7 (#87)
| Benchmark | DeepSeek Coder 1.3B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Instruction Following | — | 1414 |
Long Context Not comparable
DeepSeek Coder 1.3B: —, Mistral Medium 3.5: 43.2 (#101)
| Benchmark | DeepSeek Coder 1.3B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Longer Query | — | 1414 |
Writing & Preference Not comparable
DeepSeek Coder 1.3B: —, Mistral Medium 3.5: 58.6 (#113)
| Benchmark | DeepSeek Coder 1.3B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Text | — | 1421 |
| LMArena Creative Writing | — | 1372 |
| EQ-Bench 4 | — | 993 |
| LMArena Multi-Turn | — | 1423 |
Frequently asked questions
Is DeepSeek Coder 1.3B better than Mistral Medium 3.5?
Mistral Medium 3.5 has enough public results to be ranked (#151); DeepSeek Coder 1.3B does not yet, so treat this comparison as directional.
Is DeepSeek Coder 1.3B or Mistral Medium 3.5 better for coding?
Mistral Medium 3.5 scores higher on coding benchmarks: 35.7 versus 30.7 in the Noometry coding category.
How many benchmarks do DeepSeek Coder 1.3B and Mistral Medium 3.5 share?
1 benchmark has published results for both models. DeepSeek Coder 1.3B has 9 scored results on Noometry and Mistral Medium 3.5 has 22.