# MiMo-V2-Omni vs Qwen3-4B

> MiMo-V2-Omni is the stronger model overall, scoring 42.9 to 31.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/mimo-v2-omni-vs-qwen3-4b
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in reasoning, where MiMo-V2-Omni leads 28.6 to 18.5.
- Qwen3-4B has downloadable open weights; the other is API-only.

## Snapshot

| | MiMo-V2-Omni | Qwen3-4B |
|---|---|---|
| Provider | Xiaomi | Alibaba (Qwen) |
| Noometry Index | 42.9 | 31.5 |
| Rank | 91 | 261 |
| Context | 262K | — |
| Input $/M | $0.14 | — |
| Output $/M | $0.28 | — |
| Weights | Proprietary | Open |

## Coding

- MiMo-V2-Omni: 42.7 (#87)
- Qwen3-4B: —

| Benchmark | MiMo-V2-Omni | Qwen3-4B |
|---|---|---|
| LMArena Coding | 1467 | — |

## Agentic & Tool Use

- MiMo-V2-Omni: —
- Qwen3-4B: 27.3 (#94)

| Benchmark | MiMo-V2-Omni | Qwen3-4B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 35.7% |

## Reasoning

- MiMo-V2-Omni: 28.6 (#86)
- Qwen3-4B: 18.5 (#264)

| Benchmark | MiMo-V2-Omni | Qwen3-4B |
|---|---|---|
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | 1445 | — |

## Math

- MiMo-V2-Omni: 36.4 (#112)
- Qwen3-4B: 28.5 (#228)

| Benchmark | MiMo-V2-Omni | Qwen3-4B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 38.5% |
| OTIS Mock AIME 2024-2025 | — | 52.2% |
| LMArena Math | 1432 | — |

## Knowledge

- MiMo-V2-Omni: 39.9 (#114)
- Qwen3-4B: 33.0 (#198)

| Benchmark | MiMo-V2-Omni | Qwen3-4B |
|---|---|---|
| GPQA Diamond | — | 52.3% |
| Vectara Hallucination Rate | — | 5.7% |
| LMArena Expert | 1449 | — |

## Multimodal

- MiMo-V2-Omni: 37.9 (#62)
- Qwen3-4B: —

| Benchmark | MiMo-V2-Omni | Qwen3-4B |
|---|---|---|
| LMArena Vision | 1228 | — |

## Multilingual

- MiMo-V2-Omni: 52.0 (#97)
- Qwen3-4B: —

| Benchmark | MiMo-V2-Omni | Qwen3-4B |
|---|---|---|
| LMArena Non-English | 1404 | — |
| LMArena Chinese | 1469 | — |
| LMArena French | 1448 | — |
| LMArena German | 1398 | — |
| LMArena Japanese | 1318 | — |
| LMArena Korean | 1355 | — |
| LMArena Russian | 1412 | — |
| LMArena Spanish | 1432 | — |

## Instruction Following

- MiMo-V2-Omni: 75.4 (#62)
- Qwen3-4B: —

| Benchmark | MiMo-V2-Omni | Qwen3-4B |
|---|---|---|
| LMArena Instruction Following | 1428 | — |

## Long Context

- MiMo-V2-Omni: 44.1 (#72)
- Qwen3-4B: —

| Benchmark | MiMo-V2-Omni | Qwen3-4B |
|---|---|---|
| LMArena Longer Query | 1442 | — |

## Writing & Preference

- MiMo-V2-Omni: 61.6 (#83)
- Qwen3-4B: —

| Benchmark | MiMo-V2-Omni | Qwen3-4B |
|---|---|---|
| LMArena Text | 1424 | — |
| LMArena Creative Writing | 1393 | — |
| LMArena Multi-Turn | 1446 | — |

## FAQ

### Is MiMo-V2-Omni better than Qwen3-4B?

MiMo-V2-Omni is the stronger model overall, scoring 42.9 to 31.5 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.