# MiMo-V2-Omni vs Qwen3.7 Flash

> MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 39.9 on the Noometry Index. Qwen3.7 Flash costs 3.2× less per token, which makes it the better buy when MiMo-V2-Omni's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/mimo-v2-omni-vs-qwen3-7-flash
- Last updated: 2026-10-12
- Shared benchmarks: 0

## Summary

- The widest gap is in knowledge, where Qwen3.7 Flash leads 48.9 to 40.5.
- Qwen3.7 Flash is cheaper at $0.03 / $0.13 per million input/output tokens, against $0.14 / $0.28 for MiMo-V2-Omni.
- Qwen3.7 Flash accepts more context: 1M tokens versus 262K.

## Snapshot

| | MiMo-V2-Omni | Qwen3.7 Flash |
|---|---|---|
| Provider | Xiaomi | Alibaba (Qwen) |
| Noometry Index | 43.6 | 39.9 |
| Rank | 88 | 156 |
| Context | 262K | 1M |
| Input $/M | $0.14 | $0.03 |
| Output $/M | $0.28 | $0.13 |
| Weights | Proprietary | Proprietary |

## Coding

- MiMo-V2-Omni: 43.3 (#89)
- Qwen3.7 Flash: —

| Benchmark | MiMo-V2-Omni | Qwen3.7 Flash |
|---|---|---|
| LMArena Coding | 1466 | — |

## Reasoning

- MiMo-V2-Omni: 29.7 (#88)
- Qwen3.7 Flash: 28.2 (#108)

| Benchmark | MiMo-V2-Omni | Qwen3.7 Flash |
|---|---|---|
| NYT Connections (extended) | — | 43.8% |
| Chess Puzzles | — | 23% |
| LMArena Hard Prompts | 1445 | — |
| Mystery Game Puzzles | — | 15% |
| Epoch Capabilities Index | — | 144.64 |

## Math

- MiMo-V2-Omni: 39.1 (#115)
- Qwen3.7 Flash: 38.3 (#140)

| Benchmark | MiMo-V2-Omni | Qwen3.7 Flash |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 19.3% |
| OTIS Mock AIME 2024-2025 | — | 86.7% |
| LMArena Math | 1430 | — |

## Knowledge

- MiMo-V2-Omni: 40.5 (#118)
- Qwen3.7 Flash: 48.9 (#75)

| Benchmark | MiMo-V2-Omni | Qwen3.7 Flash |
|---|---|---|
| GPQA Diamond | — | 82.3% |
| LMArena Expert | 1449 | — |

## Multimodal

- MiMo-V2-Omni: 38.6 (#63)
- Qwen3.7 Flash: —

| Benchmark | MiMo-V2-Omni | Qwen3.7 Flash |
|---|---|---|
| LMArena Vision | 1228 | — |

## Multilingual

- MiMo-V2-Omni: 51.8 (#102)
- Qwen3.7 Flash: —

| Benchmark | MiMo-V2-Omni | Qwen3.7 Flash |
|---|---|---|
| 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)
- Qwen3.7 Flash: —

| Benchmark | MiMo-V2-Omni | Qwen3.7 Flash |
|---|---|---|
| LMArena Instruction Following | 1428 | — |

## Long Context

- MiMo-V2-Omni: 44.1 (#76)
- Qwen3.7 Flash: —

| Benchmark | MiMo-V2-Omni | Qwen3.7 Flash |
|---|---|---|
| LMArena Longer Query | 1442 | — |

## Writing & Preference

- MiMo-V2-Omni: 61.4 (#87)
- Qwen3.7 Flash: —

| Benchmark | MiMo-V2-Omni | Qwen3.7 Flash |
|---|---|---|
| LMArena Text | 1423 | — |
| LMArena Creative Writing | 1392 | — |
| LMArena Multi-Turn | 1445 | — |

## FAQ

### Is MiMo-V2-Omni better than Qwen3.7 Flash?

MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 39.9 on the Noometry Index. Qwen3.7 Flash costs 3.2× less per token, which makes it the better buy when MiMo-V2-Omni's lead doesn't matter for your workload.

### Which is cheaper, MiMo-V2-Omni or Qwen3.7 Flash?

Qwen3.7 Flash is cheaper. It lists at $0.03 per million input tokens and $0.13 per million output tokens; MiMo-V2-Omni lists at $0.14 and $0.28.

### Which has the bigger context window?

Qwen3.7 Flash does, with 1M tokens against 262K.

### How many benchmarks do MiMo-V2-Omni and Qwen3.7 Flash share?

0 benchmarks have published results for both models. MiMo-V2-Omni has 18 scored results on Noometry and Qwen3.7 Flash has 7.