# MiMo-V2-Omni vs Qwen3 Coder Next

> MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 34.3 on the Noometry Index.

- Canonical page: https://noometry.com/compare/mimo-v2-omni-vs-qwen3-coder-next
- Last updated: 2026-10-11
- Shared benchmarks: 0

## Summary

- The widest gap is in reasoning, where MiMo-V2-Omni leads 29.7 to 22.4.
- MiMo-V2-Omni is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.12 / $0.80 for Qwen3 Coder Next.
- Qwen3 Coder Next has downloadable open weights; the other is API-only.

## Snapshot

| | MiMo-V2-Omni | Qwen3 Coder Next |
|---|---|---|
| Provider | Xiaomi | Alibaba (Qwen) |
| Noometry Index | 43.6 | 34.3 |
| Rank | 88 | 232 |
| Context | 262K | 262K |
| Input $/M | $0.14 | $0.12 |
| Output $/M | $0.28 | $0.80 |
| Weights | Proprietary | Open |

## Coding

- MiMo-V2-Omni: 43.3 (#89)
- Qwen3 Coder Next: 36.3 (#210)

| Benchmark | MiMo-V2-Omni | Qwen3 Coder Next |
|---|---|---|
| SciCode | — | 32.3% |
| WeirdML | — | 34.4% |
| LMArena Coding | 1466 | — |

## Reasoning

- MiMo-V2-Omni: 29.7 (#88)
- Qwen3 Coder Next: 22.4 (#196)

| Benchmark | MiMo-V2-Omni | Qwen3 Coder Next |
|---|---|---|
| CritPt | — | 0% |
| LMArena Hard Prompts | 1445 | — |

## Math

- MiMo-V2-Omni: 39.1 (#115)
- Qwen3 Coder Next: —

| Benchmark | MiMo-V2-Omni | Qwen3 Coder Next |
|---|---|---|
| LMArena Math | 1430 | — |

## Knowledge

- MiMo-V2-Omni: 40.5 (#118)
- Qwen3 Coder Next: —

| Benchmark | MiMo-V2-Omni | Qwen3 Coder Next |
|---|---|---|
| LMArena Expert | 1449 | — |

## Multimodal

- MiMo-V2-Omni: 38.6 (#63)
- Qwen3 Coder Next: —

| Benchmark | MiMo-V2-Omni | Qwen3 Coder Next |
|---|---|---|
| LMArena Vision | 1228 | — |

## Multilingual

- MiMo-V2-Omni: 51.8 (#102)
- Qwen3 Coder Next: —

| Benchmark | MiMo-V2-Omni | Qwen3 Coder Next |
|---|---|---|
| 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

- MiMo-V2-Omni: 75.2 (#66)
- Qwen3 Coder Next: —

| Benchmark | MiMo-V2-Omni | Qwen3 Coder Next |
|---|---|---|
| LMArena Instruction Following | 1428 | — |

## Long Context

- MiMo-V2-Omni: 44.1 (#76)
- Qwen3 Coder Next: —

| Benchmark | MiMo-V2-Omni | Qwen3 Coder Next |
|---|---|---|
| LMArena Longer Query | 1442 | — |

## Writing & Preference

- MiMo-V2-Omni: 61.4 (#87)
- Qwen3 Coder Next: —

| Benchmark | MiMo-V2-Omni | Qwen3 Coder Next |
|---|---|---|
| LMArena Text | 1423 | — |
| LMArena Creative Writing | 1392 | — |
| LMArena Multi-Turn | 1445 | — |

## FAQ

### Is MiMo-V2-Omni better than Qwen3 Coder Next?

MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 34.3 on the Noometry Index.

### Which is cheaper, MiMo-V2-Omni or Qwen3 Coder Next?

MiMo-V2-Omni is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; Qwen3 Coder Next lists at $0.12 and $0.80.

### Is MiMo-V2-Omni or Qwen3 Coder Next better for coding?

MiMo-V2-Omni scores higher on coding benchmarks: 43.3 versus 36.3 in the Noometry coding category.

### Which has the bigger context window?

Both accept 262K tokens.

### How many benchmarks do MiMo-V2-Omni and Qwen3 Coder Next share?

0 benchmarks have published results for both models. MiMo-V2-Omni has 18 scored results on Noometry and Qwen3 Coder Next has 3.