Model comparison
MiMo-V2-Omni vs Qwen1.5 4b Chat
MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 28.8 on the Noometry Index.
Last verified . 13 shared benchmarks.
Alibaba (Qwen)Summary
- They share 13 benchmarks with published results for both. MiMo-V2-Omni scores higher in 8 categories and Qwen1.5 4b Chat in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiMo-V2-Omni leads 61.4 to 23.8.
- Qwen1.5 4b Chat has downloadable open weights; the other is API-only.
Side by side
| MiMo-V2-Omni | Qwen1.5 4b Chat | |
|---|---|---|
| Provider | Xiaomi | Alibaba (Qwen) |
| Noometry Index | 43.6 | 28.8 |
| Released | 2026-03-18 | — |
| Weights | Proprietary | Open |
| Context window | 262K | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.14 | — |
| Output $ / M tokens | $0.28 | — |
| Results tracked | 18 | 13 |
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Category by category
Coding MiMo-V2-Omni leads
MiMo-V2-Omni: 43.3 (#89), Qwen1.5 4b Chat: 29.1 (#308)
| Benchmark | MiMo-V2-Omni | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Coding | 1466 | 999 |
Reasoning MiMo-V2-Omni leads
MiMo-V2-Omni: 29.7 (#88), Qwen1.5 4b Chat: 18.5 (#279)
| Benchmark | MiMo-V2-Omni | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Hard Prompts | 1445 | 976 |
Math MiMo-V2-Omni leads
MiMo-V2-Omni: 39.1 (#115), Qwen1.5 4b Chat: 30.4 (#234)
| Benchmark | MiMo-V2-Omni | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Math | 1430 | 1026 |
Knowledge MiMo-V2-Omni leads
MiMo-V2-Omni: 40.5 (#118), Qwen1.5 4b Chat: 26.7 (#255)
| Benchmark | MiMo-V2-Omni | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Expert | 1449 | 980 |
Multimodal Not comparable
MiMo-V2-Omni: 38.6 (#63), Qwen1.5 4b Chat: —
| Benchmark | MiMo-V2-Omni | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Vision | 1228 | — |
Multilingual MiMo-V2-Omni leads
MiMo-V2-Omni: 51.8 (#102), Qwen1.5 4b Chat: 24.1 (#290)
| Benchmark | MiMo-V2-Omni | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Non-English | 1404 | 979 |
| LMArena Chinese | 1465 | 1024 |
| LMArena German | 1399 | 902 |
| LMArena Russian | 1412 | 952 |
| LMArena French | 1447 | — |
| LMArena Japanese | 1317 | — |
| LMArena Korean | 1355 | — |
| LMArena Spanish | 1434 | — |
Instruction Following MiMo-V2-Omni leads
MiMo-V2-Omni: 75.2 (#66), Qwen1.5 4b Chat: 49.0 (#300)
| Benchmark | MiMo-V2-Omni | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Instruction Following | 1428 | 978 |
Long Context MiMo-V2-Omni leads
MiMo-V2-Omni: 44.1 (#76), Qwen1.5 4b Chat: 30.1 (#290)
| Benchmark | MiMo-V2-Omni | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Longer Query | 1442 | 988 |
Writing & Preference MiMo-V2-Omni leads
MiMo-V2-Omni: 61.4 (#87), Qwen1.5 4b Chat: 23.8 (#309)
| Benchmark | MiMo-V2-Omni | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Text | 1423 | 997 |
| LMArena Creative Writing | 1392 | 969 |
| LMArena Multi-Turn | 1445 | 977 |
Frequently asked questions
Is MiMo-V2-Omni better than Qwen1.5 4b Chat?
MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 28.8 on the Noometry Index.
Is MiMo-V2-Omni or Qwen1.5 4b Chat better for coding?
MiMo-V2-Omni scores higher on coding benchmarks: 43.3 versus 29.1 in the Noometry coding category.
How many benchmarks do MiMo-V2-Omni and Qwen1.5 4b Chat share?
13 benchmarks have published results for both models. MiMo-V2-Omni has 18 scored results on Noometry and Qwen1.5 4b Chat has 13.