Model comparison
DeepSeek Coder 1.3B vs MiMo-V2-Flash
MiMo-V2-Flash has enough public results to be ranked (#138); DeepSeek Coder 1.3B does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in coding, where MiMo-V2-Flash leads 36.1 to 31.2.
Side by side
| DeepSeek Coder 1.3B | MiMo-V2-Flash | |
|---|---|---|
| Provider | DeepSeek | Xiaomi |
| Noometry Index | 35.0 | 41.3 |
| Released | 2023-11-02 | 2025-12-16 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.14 |
| Output $ / M tokens | — | $0.28 |
| Results tracked | 9 | 21 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding MiMo-V2-Flash leads
DeepSeek Coder 1.3B: 31.2 (#287), MiMo-V2-Flash: 36.1 (#211)
| Benchmark | DeepSeek Coder 1.3B | MiMo-V2-Flash |
|---|---|---|
| LMArena WebDev | — | 1330 |
| SciCode | — | 25.9% |
| BigCodeBench Instruct | 22.8% | — |
| LMArena Coding | — | 1443 |
| BigCodeBench Complete | 29.6% | — |
| ALE-Bench | — | 737.95 |
| HumanEval+ | 60.4% | — |
| MBPP+ | 54.8% | — |
Reasoning Not comparable
DeepSeek Coder 1.3B: —, MiMo-V2-Flash: 24.9 (#157)
| Benchmark | DeepSeek Coder 1.3B | MiMo-V2-Flash |
|---|---|---|
| CritPt | — | 0% |
| LMArena Hard Prompts | — | 1420 |
| Epoch Capabilities Index | 63.6 | — |
| WinoGrande | 53.3% | — |
Math Not comparable
DeepSeek Coder 1.3B: —, MiMo-V2-Flash: 38.3 (#139)
| Benchmark | DeepSeek Coder 1.3B | MiMo-V2-Flash |
|---|---|---|
| LMArena Math | — | 1396 |
| GSM8K | 4.4% | — |
Knowledge Not comparable
DeepSeek Coder 1.3B: —, MiMo-V2-Flash: 39.7 (#131)
| Benchmark | DeepSeek Coder 1.3B | MiMo-V2-Flash |
|---|---|---|
| LMArena Expert | — | 1425 |
| ARC (AI2) Challenge | 25.4% | — |
| MMLU | 25.8% | — |
Multilingual Not comparable
DeepSeek Coder 1.3B: —, MiMo-V2-Flash: 51.0 (#113)
| Benchmark | DeepSeek Coder 1.3B | MiMo-V2-Flash |
|---|---|---|
| LMArena Non-English | — | 1392 |
| LMArena Chinese | — | 1462 |
| LMArena French | — | 1429 |
| LMArena German | — | 1395 |
| LMArena Japanese | — | 1325 |
| LMArena Korean | — | 1358 |
| LMArena Russian | — | 1387 |
| LMArena Spanish | — | 1420 |
Instruction Following Not comparable
DeepSeek Coder 1.3B: —, MiMo-V2-Flash: 73.5 (#120)
| Benchmark | DeepSeek Coder 1.3B | MiMo-V2-Flash |
|---|---|---|
| LMArena Instruction Following | — | 1392 |
Long Context Not comparable
DeepSeek Coder 1.3B: —, MiMo-V2-Flash: 43.0 (#110)
| Benchmark | DeepSeek Coder 1.3B | MiMo-V2-Flash |
|---|---|---|
| LMArena Longer Query | — | 1409 |
Writing & Preference Not comparable
DeepSeek Coder 1.3B: —, MiMo-V2-Flash: 59.7 (#106)
| Benchmark | DeepSeek Coder 1.3B | MiMo-V2-Flash |
|---|---|---|
| LMArena Text | — | 1411 |
| LMArena Creative Writing | — | 1375 |
| LMArena Multi-Turn | — | 1404 |
Frequently asked questions
Is DeepSeek Coder 1.3B better than MiMo-V2-Flash?
MiMo-V2-Flash has enough public results to be ranked (#138); DeepSeek Coder 1.3B does not yet, so treat this comparison as directional.
Is DeepSeek Coder 1.3B or MiMo-V2-Flash better for coding?
MiMo-V2-Flash scores higher on coding benchmarks: 36.1 versus 31.2 in the Noometry coding category.
How many benchmarks do DeepSeek Coder 1.3B and MiMo-V2-Flash share?
0 benchmarks have published results for both models. DeepSeek Coder 1.3B has 9 scored results on Noometry and MiMo-V2-Flash has 21.