Model comparison
DeepSeek Coder 1.3B vs Mistral Small 3.1
Mistral Small 3.1 has enough public results to be ranked (#269); 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 Small 3.1 in 1 category; one gap is clear of the uncertainty.
- The widest gap is in coding, where Mistral Small 3.1 leads 38.3 to 31.2.
Side by side
| DeepSeek Coder 1.3B | Mistral Small 3.1 | |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 35.0 | 31.7 |
| Released | 2023-11-02 | 2025-03-17 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 102K |
| Input $ / M tokens | — | $0.35 |
| Output $ / M tokens | — | $0.56 |
| Results tracked | 9 | 28 |
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Category by category
Coding Mistral Small 3.1 leads
DeepSeek Coder 1.3B: 31.2 (#287), Mistral Small 3.1: 38.3 (#179)
| Benchmark | DeepSeek Coder 1.3B | Mistral Small 3.1 |
|---|---|---|
| BigCodeBench Instruct | 22.8% | — |
| LMArena Coding | — | 1309 |
| BigCodeBench Complete | 29.6% | — |
| HumanEval+ | 60.4% | — |
| MBPP+ | 54.8% | — |
Reasoning Not comparable
DeepSeek Coder 1.3B: —, Mistral Small 3.1: 19.7 (#254)
| Benchmark | DeepSeek Coder 1.3B | Mistral Small 3.1 |
|---|---|---|
| Epoch Capabilities Index | 63.6 | 127.48 |
| Chess Puzzles | — | 1% |
| LMArena Hard Prompts | — | 1278 |
| WinoGrande | 53.3% | — |
Math Not comparable
DeepSeek Coder 1.3B: —, Mistral Small 3.1: 14.7 (#301)
| Benchmark | DeepSeek Coder 1.3B | Mistral Small 3.1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 3.9% |
| Omni-MATH | — | 24.8% |
| LMArena Math | — | 1262 |
| GSM8K | 4.4% | — |
Knowledge Not comparable
DeepSeek Coder 1.3B: —, Mistral Small 3.1: 22.6 (#271)
| Benchmark | DeepSeek Coder 1.3B | Mistral Small 3.1 |
|---|---|---|
| GPQA Diamond | — | 41.9% |
| MMLU-Pro | — | 61% |
| GPQA (HELM) | — | 39.2% |
| LMArena Expert | — | 1257 |
| ARC (AI2) Challenge | 25.4% | — |
| MMLU | 25.8% | — |
Multimodal Not comparable
DeepSeek Coder 1.3B: —, Mistral Small 3.1: 33.2 (#99)
| Benchmark | DeepSeek Coder 1.3B | Mistral Small 3.1 |
|---|---|---|
| LMArena Vision | — | 1136 |
Multilingual Not comparable
DeepSeek Coder 1.3B: —, Mistral Small 3.1: 41.2 (#209)
| Benchmark | DeepSeek Coder 1.3B | Mistral Small 3.1 |
|---|---|---|
| LMArena Non-English | — | 1255 |
| LMArena Chinese | — | 1253 |
| LMArena French | — | 1273 |
| LMArena German | — | 1266 |
| LMArena Japanese | — | 1208 |
| LMArena Korean | — | 1206 |
| LMArena Russian | — | 1263 |
| LMArena Spanish | — | 1283 |
Instruction Following Not comparable
DeepSeek Coder 1.3B: —, Mistral Small 3.1: 63.6 (#230)
| Benchmark | DeepSeek Coder 1.3B | Mistral Small 3.1 |
|---|---|---|
| IFEval | — | 75% |
| LMArena Instruction Following | — | 1264 |
Long Context Not comparable
DeepSeek Coder 1.3B: —, Mistral Small 3.1: 39.5 (#178)
| Benchmark | DeepSeek Coder 1.3B | Mistral Small 3.1 |
|---|---|---|
| LMArena Longer Query | — | 1299 |
Writing & Preference Not comparable
DeepSeek Coder 1.3B: —, Mistral Small 3.1: 37.0 (#259)
| Benchmark | DeepSeek Coder 1.3B | Mistral Small 3.1 |
|---|---|---|
| LMArena Text | — | 1277 |
| LMArena Creative Writing | — | 1253 |
| EQ-Bench Creative Writing | — | 761 |
| WildBench | — | 78.8% |
| LMArena Multi-Turn | — | 1270 |
Frequently asked questions
Is DeepSeek Coder 1.3B better than Mistral Small 3.1?
Mistral Small 3.1 has enough public results to be ranked (#269); DeepSeek Coder 1.3B does not yet, so treat this comparison as directional.
Is DeepSeek Coder 1.3B or Mistral Small 3.1 better for coding?
Mistral Small 3.1 scores higher on coding benchmarks: 38.3 versus 31.2 in the Noometry coding category.
How many benchmarks do DeepSeek Coder 1.3B and Mistral Small 3.1 share?
1 benchmark has published results for both models. DeepSeek Coder 1.3B has 9 scored results on Noometry and Mistral Small 3.1 has 28.