Model comparison
MiMo-V2-Omni vs Qwen3-4B
MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 31.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in reasoning, where MiMo-V2-Omni leads 29.7 to 19.2.
- Qwen3-4B has downloadable open weights; the other is API-only.
Side by side
| MiMo-V2-Omni | Qwen3-4B | |
|---|---|---|
| Provider | Xiaomi | Alibaba (Qwen) |
| Noometry Index | 43.6 | 31.9 |
| Released | 2026-03-18 | 2025-04-29 |
| Weights | Proprietary | Open |
| Context window | 262K | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.14 | — |
| Output $ / M tokens | $0.28 | — |
| Results tracked | 18 | 6 |
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Category by category
Coding Not comparable
MiMo-V2-Omni: 43.3 (#89), Qwen3-4B: —
| Benchmark | MiMo-V2-Omni | Qwen3-4B |
|---|---|---|
| LMArena Coding | 1466 | — |
Agentic & Tool Use Not comparable
MiMo-V2-Omni: —, Qwen3-4B: 27.6 (#100)
| Benchmark | MiMo-V2-Omni | Qwen3-4B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 35.7% |
Reasoning MiMo-V2-Omni leads
MiMo-V2-Omni: 29.7 (#88), Qwen3-4B: 19.2 (#268)
| Benchmark | MiMo-V2-Omni | Qwen3-4B |
|---|---|---|
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | 1445 | — |
Math MiMo-V2-Omni leads
MiMo-V2-Omni: 39.1 (#115), Qwen3-4B: 29.7 (#240)
| Benchmark | MiMo-V2-Omni | Qwen3-4B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 38.5% |
| OTIS Mock AIME 2024-2025 | — | 52.2% |
| LMArena Math | 1430 | — |
Knowledge MiMo-V2-Omni leads
MiMo-V2-Omni: 40.5 (#118), Qwen3-4B: 33.0 (#208)
| Benchmark | MiMo-V2-Omni | Qwen3-4B |
|---|---|---|
| GPQA Diamond | — | 52.3% |
| Vectara Hallucination Rate | — | 5.7% |
| LMArena Expert | 1449 | — |
Multimodal Not comparable
MiMo-V2-Omni: 38.6 (#63), Qwen3-4B: —
| Benchmark | MiMo-V2-Omni | Qwen3-4B |
|---|---|---|
| LMArena Vision | 1228 | — |
Multilingual Not comparable
MiMo-V2-Omni: 51.8 (#102), Qwen3-4B: —
| Benchmark | MiMo-V2-Omni | Qwen3-4B |
|---|---|---|
| LMArena Non-English | 1404 | — |
| LMArena Chinese | 1465 | — |
| LMArena French | 1447 | — |
| LMArena German | 1399 | — |
| LMArena Japanese | 1317 | — |
| LMArena Korean | 1355 | — |
| LMArena Russian | 1412 | — |
| LMArena Spanish | 1434 | — |
Instruction Following Not comparable
MiMo-V2-Omni: 75.2 (#66), Qwen3-4B: —
| Benchmark | MiMo-V2-Omni | Qwen3-4B |
|---|---|---|
| LMArena Instruction Following | 1428 | — |
Long Context Not comparable
MiMo-V2-Omni: 44.1 (#76), Qwen3-4B: —
| Benchmark | MiMo-V2-Omni | Qwen3-4B |
|---|---|---|
| LMArena Longer Query | 1442 | — |
Writing & Preference Not comparable
MiMo-V2-Omni: 61.4 (#87), Qwen3-4B: —
| Benchmark | MiMo-V2-Omni | Qwen3-4B |
|---|---|---|
| LMArena Text | 1423 | — |
| LMArena Creative Writing | 1392 | — |
| LMArena Multi-Turn | 1445 | — |
Frequently asked questions
Is MiMo-V2-Omni better than Qwen3-4B?
MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 31.9 on the Noometry Index.
How many benchmarks do MiMo-V2-Omni and Qwen3-4B share?
0 benchmarks have published results for both models. MiMo-V2-Omni has 18 scored results on Noometry and Qwen3-4B has 6.