Model comparison
MiMo-V2-Omni vs Qwen1.5-14B
MiMo-V2-Omni is the stronger model overall, scoring 42.9 to 32.1 on the Noometry Index.
Last verified . 16 shared benchmarks.
Alibaba (Qwen)Summary
- They share 16 benchmarks with published results for both. MiMo-V2-Omni 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-Omni leads 61.6 to 33.7.
- Qwen1.5-14B has downloadable open weights; the other is API-only.
Side by side
| MiMo-V2-Omni | Qwen1.5-14B | |
|---|---|---|
| Provider | Xiaomi | Alibaba (Qwen) |
| Noometry Index | 42.9 | 32.1 |
| Released | 2026-03-18 | 2024-02-04 |
| Weights | Proprietary | Open |
| Context window | 262K | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.14 | — |
| Output $ / M tokens | $0.28 | — |
| Results tracked | 18 | 17 |
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Category by category
Coding MiMo-V2-Omni leads
MiMo-V2-Omni: 42.7 (#87), Qwen1.5-14B: 32.5 (#259)
| Benchmark | MiMo-V2-Omni | Qwen1.5-14B |
|---|---|---|
| LMArena Coding | 1467 | 1138 |
Reasoning MiMo-V2-Omni leads
MiMo-V2-Omni: 28.6 (#86), Qwen1.5-14B: 20.5 (#217)
| Benchmark | MiMo-V2-Omni | Qwen1.5-14B |
|---|---|---|
| LMArena Hard Prompts | 1445 | 1113 |
Math MiMo-V2-Omni leads
MiMo-V2-Omni: 36.4 (#112), Qwen1.5-14B: 29.9 (#214)
| Benchmark | MiMo-V2-Omni | Qwen1.5-14B |
|---|---|---|
| LMArena Math | 1432 | 1125 |
Knowledge MiMo-V2-Omni leads
MiMo-V2-Omni: 39.9 (#114), Qwen1.5-14B: 29.3 (#230)
| Benchmark | MiMo-V2-Omni | Qwen1.5-14B |
|---|---|---|
| LMArena Expert | 1449 | 1094 |
| MMLU | — | 68.6% |
Multimodal Not comparable
MiMo-V2-Omni: 37.9 (#62), Qwen1.5-14B: —
| Benchmark | MiMo-V2-Omni | Qwen1.5-14B |
|---|---|---|
| LMArena Vision | 1228 | — |
Multilingual MiMo-V2-Omni leads
MiMo-V2-Omni: 52.0 (#97), Qwen1.5-14B: 30.8 (#257)
| Benchmark | MiMo-V2-Omni | Qwen1.5-14B |
|---|---|---|
| LMArena Non-English | 1404 | 1095 |
| LMArena Chinese | 1469 | 1147 |
| LMArena French | 1448 | 1115 |
| LMArena German | 1398 | 1043 |
| LMArena Japanese | 1318 | 1019 |
| LMArena Russian | 1412 | 1046 |
| LMArena Spanish | 1432 | 1085 |
| LMArena Korean | 1355 | — |
Instruction Following MiMo-V2-Omni leads
MiMo-V2-Omni: 75.4 (#62), Qwen1.5-14B: 57.1 (#266)
| Benchmark | MiMo-V2-Omni | Qwen1.5-14B |
|---|---|---|
| LMArena Instruction Following | 1428 | 1102 |
Long Context MiMo-V2-Omni leads
MiMo-V2-Omni: 44.1 (#72), Qwen1.5-14B: 33.7 (#252)
| Benchmark | MiMo-V2-Omni | Qwen1.5-14B |
|---|---|---|
| LMArena Longer Query | 1442 | 1113 |
Writing & Preference MiMo-V2-Omni leads
MiMo-V2-Omni: 61.6 (#83), Qwen1.5-14B: 33.7 (#270)
| Benchmark | MiMo-V2-Omni | Qwen1.5-14B |
|---|---|---|
| LMArena Text | 1424 | 1128 |
| LMArena Creative Writing | 1393 | 1091 |
| LMArena Multi-Turn | 1446 | 1110 |
Frequently asked questions
Is MiMo-V2-Omni better than Qwen1.5-14B?
MiMo-V2-Omni is the stronger model overall, scoring 42.9 to 32.1 on the Noometry Index.
Is MiMo-V2-Omni or Qwen1.5-14B better for coding?
MiMo-V2-Omni scores higher on coding benchmarks: 42.7 versus 32.5 in the Noometry coding category.
How many benchmarks do MiMo-V2-Omni and Qwen1.5-14B share?
16 benchmarks have published results for both models. MiMo-V2-Omni has 18 scored results on Noometry and Qwen1.5-14B has 17.