Model comparison
DeepSeek Coder 1.3B vs MiMo-V2.6-Pro
MiMo-V2.6-Pro has enough public results to be ranked (#55); DeepSeek Coder 1.3B does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
DeepSeekSummary
- The widest gap is in coding, where MiMo-V2.6-Pro leads 53.2 to 30.7.
Side by side
| DeepSeek Coder 1.3B | MiMo-V2.6-Pro | |
|---|---|---|
| Provider | DeepSeek | Xiaomi |
| Noometry Index | 34.5 | 46.7 |
| Released | 2023-11-02 | 2026-09-22 |
| Weights | Open | Open |
| Context window | — | 1.05M |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.43 |
| Output $ / M tokens | — | $0.87 |
| Results tracked | 9 | 14 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding MiMo-V2.6-Pro leads
DeepSeek Coder 1.3B: 30.7 (#282), MiMo-V2.6-Pro: 53.2 (#27)
| Benchmark | DeepSeek Coder 1.3B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena WebDev | — | 1618 |
| BigCodeBench Instruct | 22.8% | — |
| LMArena Coding | — | 1538 |
| BigCodeBench Complete | 29.6% | — |
| HumanEval+ | 60.4% | — |
| MBPP+ | 54.8% | — |
Reasoning Not comparable
DeepSeek Coder 1.3B: —, MiMo-V2.6-Pro: 30.4 (#76)
| Benchmark | DeepSeek Coder 1.3B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Hard Prompts | — | 1511 |
| Epoch Capabilities Index | 62.18 | — |
| WinoGrande | 53.3% | — |
Math Not comparable
DeepSeek Coder 1.3B: —, MiMo-V2.6-Pro: 37.9 (#91)
| Benchmark | DeepSeek Coder 1.3B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Math | — | 1497 |
| GSM8K | 4.4% | — |
Knowledge Not comparable
DeepSeek Coder 1.3B: —, MiMo-V2.6-Pro: 43.0 (#85)
| Benchmark | DeepSeek Coder 1.3B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Expert | — | 1548 |
| ARC (AI2) Challenge | 25.4% | — |
| MMLU | 25.8% | — |
Multimodal Not comparable
DeepSeek Coder 1.3B: —, MiMo-V2.6-Pro: 40.2 (#40)
| Benchmark | DeepSeek Coder 1.3B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Vision | — | 1265 |
Multilingual Not comparable
DeepSeek Coder 1.3B: —, MiMo-V2.6-Pro: 57.0 (#15)
| Benchmark | DeepSeek Coder 1.3B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Non-English | — | 1474 |
| LMArena Chinese | — | 1532 |
| LMArena Russian | — | 1481 |
Instruction Following Not comparable
DeepSeek Coder 1.3B: —, MiMo-V2.6-Pro: 78.2 (#10)
| Benchmark | DeepSeek Coder 1.3B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Instruction Following | — | 1490 |
Long Context Not comparable
DeepSeek Coder 1.3B: —, MiMo-V2.6-Pro: 46.0 (#26)
| Benchmark | DeepSeek Coder 1.3B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Longer Query | — | 1500 |
Writing & Preference Not comparable
DeepSeek Coder 1.3B: —, MiMo-V2.6-Pro: 66.9 (#32)
| Benchmark | DeepSeek Coder 1.3B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Text | — | 1491 |
| LMArena Creative Writing | — | 1465 |
| LMArena Multi-Turn | — | 1463 |
Frequently asked questions
Is DeepSeek Coder 1.3B better than MiMo-V2.6-Pro?
MiMo-V2.6-Pro has enough public results to be ranked (#55); DeepSeek Coder 1.3B does not yet, so treat this comparison as directional.
Is DeepSeek Coder 1.3B or MiMo-V2.6-Pro better for coding?
MiMo-V2.6-Pro scores higher on coding benchmarks: 53.2 versus 30.7 in the Noometry coding category.
How many benchmarks do DeepSeek Coder 1.3B and MiMo-V2.6-Pro share?
0 benchmarks have published results for both models. DeepSeek Coder 1.3B has 9 scored results on Noometry and MiMo-V2.6-Pro has 14.