Model comparison
MiMo-V2.6-Pro vs Qwen1.5-14B
MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 32.7 on the Noometry Index.
Last verified . 12 shared benchmarks.
Alibaba (Qwen)Summary
- They share 12 benchmarks with published results for both. MiMo-V2.6-Pro scores higher in 8 categories and Qwen1.5-14B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiMo-V2.6-Pro leads 66.8 to 33.6.
Side by side
| MiMo-V2.6-Pro | Qwen1.5-14B | |
|---|---|---|
| Provider | Xiaomi | Alibaba (Qwen) |
| Noometry Index | 50.3 | 32.7 |
| Released | 2026-09-21 | 2024-02-04 |
| Weights | Open | Open |
| Context window | 1.05M | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.43 | — |
| Output $ / M tokens | $0.87 | — |
| Results tracked | 19 | 17 |
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Category by category
Coding MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 55.5 (#23), Qwen1.5-14B: 33.1 (#263)
| Benchmark | MiMo-V2.6-Pro | Qwen1.5-14B |
|---|---|---|
| LMArena Coding | 1534 | 1138 |
| LMArena WebDev | 1629 | — |
| SciCode | 60.9% | — |
| ALE-Bench | 1,158 | — |
Agentic & Tool Use Not comparable
MiMo-V2.6-Pro: 37.5 (#35), Qwen1.5-14B: —
| Benchmark | MiMo-V2.6-Pro | Qwen1.5-14B |
|---|---|---|
| APEX-Agents | 59.5% | — |
Reasoning MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 43.1 (#50), Qwen1.5-14B: 21.4 (#223)
| Benchmark | MiMo-V2.6-Pro | Qwen1.5-14B |
|---|---|---|
| LMArena Hard Prompts | 1512 | 1113 |
| CritPt | 26.6% | — |
Math MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 54.5 (#45), Qwen1.5-14B: 32.4 (#215)
| Benchmark | MiMo-V2.6-Pro | Qwen1.5-14B |
|---|---|---|
| LMArena Math | 1494 | 1125 |
| ProofBench | 70% | — |
Knowledge MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 43.5 (#92), Qwen1.5-14B: 29.8 (#232)
| Benchmark | MiMo-V2.6-Pro | Qwen1.5-14B |
|---|---|---|
| LMArena Expert | 1543 | 1094 |
| MMLU | — | 68.6% |
Multimodal Not comparable
MiMo-V2.6-Pro: 40.8 (#43), Qwen1.5-14B: —
| Benchmark | MiMo-V2.6-Pro | Qwen1.5-14B |
|---|---|---|
| LMArena Vision | 1264 | — |
Multilingual MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 56.9 (#14), Qwen1.5-14B: 30.7 (#262)
| Benchmark | MiMo-V2.6-Pro | Qwen1.5-14B |
|---|---|---|
| LMArena Non-English | 1474 | 1095 |
| LMArena Chinese | 1529 | 1147 |
| LMArena Russian | 1480 | 1046 |
| LMArena French | — | 1116 |
| LMArena German | — | 1043 |
| LMArena Japanese | — | 1019 |
| LMArena Spanish | — | 1085 |
Instruction Following MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 78.2 (#12), Qwen1.5-14B: 56.8 (#271)
| Benchmark | MiMo-V2.6-Pro | Qwen1.5-14B |
|---|---|---|
| LMArena Instruction Following | 1493 | 1102 |
Long Context MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 46.0 (#27), Qwen1.5-14B: 33.7 (#257)
| Benchmark | MiMo-V2.6-Pro | Qwen1.5-14B |
|---|---|---|
| LMArena Longer Query | 1501 | 1113 |
Writing & Preference MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 66.8 (#33), Qwen1.5-14B: 33.6 (#276)
| Benchmark | MiMo-V2.6-Pro | Qwen1.5-14B |
|---|---|---|
| LMArena Text | 1492 | 1128 |
| LMArena Creative Writing | 1468 | 1091 |
| LMArena Multi-Turn | 1464 | 1110 |
Frequently asked questions
Is MiMo-V2.6-Pro better than Qwen1.5-14B?
MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 32.7 on the Noometry Index.
Is MiMo-V2.6-Pro or Qwen1.5-14B better for coding?
MiMo-V2.6-Pro scores higher on coding benchmarks: 55.5 versus 33.1 in the Noometry coding category.
How many benchmarks do MiMo-V2.6-Pro and Qwen1.5-14B share?
12 benchmarks have published results for both models. MiMo-V2.6-Pro has 19 scored results on Noometry and Qwen1.5-14B has 17.