# GLM-4.7-Flash vs MiMo-V2-Omni

> MiMo-V2-Omni is the stronger model overall, scoring 42.9 to 38.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-4-7-flash-vs-mimo-v2-omni
- Last updated: 2026-10-10
- Shared benchmarks: 16

## Summary

- They share 16 benchmarks with published results for both. GLM-4.7-Flash scores higher in 0 categories and MiMo-V2-Omni in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiMo-V2-Omni leads 61.6 to 47.7.
- GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $0.14 / $0.28 for MiMo-V2-Omni.
- MiMo-V2-Omni accepts more context: 262K tokens versus 200K.
- GLM-4.7-Flash has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-4.7-Flash | MiMo-V2-Omni |
|---|---|---|
| Provider | Z.ai (Zhipu) | Xiaomi |
| Noometry Index | 38.4 | 42.9 |
| Rank | 175 | 91 |
| Context | 200K | 262K |
| Input $/M | $0.06 | $0.14 |
| Output $/M | $0.40 | $0.28 |
| Weights | Open | Proprietary |

## Coding

- GLM-4.7-Flash: 40.0 (#133)
- MiMo-V2-Omni: 42.7 (#87)

| Benchmark | GLM-4.7-Flash | MiMo-V2-Omni |
|---|---|---|
| LMArena Coding | 1383 | 1467 |

## Reasoning

- GLM-4.7-Flash: 20.2 (#224)
- MiMo-V2-Omni: 28.6 (#86)

| Benchmark | GLM-4.7-Flash | MiMo-V2-Omni |
|---|---|---|
| LMArena Hard Prompts | 1356 | 1445 |
| Chess Puzzles | 0% | — |

## Math

- GLM-4.7-Flash: 34.4 (#159)
- MiMo-V2-Omni: 36.4 (#112)

| Benchmark | GLM-4.7-Flash | MiMo-V2-Omni |
|---|---|---|
| LMArena Math | 1354 | 1432 |
| OTIS Mock AIME 2024-2025 | 58.3% | — |

## Knowledge

- GLM-4.7-Flash: 35.4 (#177)
- MiMo-V2-Omni: 39.9 (#114)

| Benchmark | GLM-4.7-Flash | MiMo-V2-Omni |
|---|---|---|
| LMArena Expert | 1357 | 1449 |
| GPQA Diamond | 60.5% | — |
| Vectara Hallucination Rate | 9.3% | — |

## Multimodal

- GLM-4.7-Flash: —
- MiMo-V2-Omni: 37.9 (#62)

| Benchmark | GLM-4.7-Flash | MiMo-V2-Omni |
|---|---|---|
| LMArena Vision | — | 1228 |

## Multilingual

- GLM-4.7-Flash: 46.8 (#152)
- MiMo-V2-Omni: 52.0 (#97)

| Benchmark | GLM-4.7-Flash | MiMo-V2-Omni |
|---|---|---|
| LMArena Non-English | 1331 | 1404 |
| LMArena Chinese | 1403 | 1469 |
| LMArena French | 1332 | 1448 |
| LMArena German | 1336 | 1398 |
| LMArena Korean | 1284 | 1355 |
| LMArena Russian | 1333 | 1412 |
| LMArena Spanish | 1351 | 1432 |
| LMArena Japanese | — | 1318 |

## Instruction Following

- GLM-4.7-Flash: 70.3 (#162)
- MiMo-V2-Omni: 75.4 (#62)

| Benchmark | GLM-4.7-Flash | MiMo-V2-Omni |
|---|---|---|
| LMArena Instruction Following | 1327 | 1428 |

## Long Context

- GLM-4.7-Flash: 40.9 (#143)
- MiMo-V2-Omni: 44.1 (#72)

| Benchmark | GLM-4.7-Flash | MiMo-V2-Omni |
|---|---|---|
| LMArena Longer Query | 1345 | 1442 |

## Writing & Preference

- GLM-4.7-Flash: 47.7 (#206)
- MiMo-V2-Omni: 61.6 (#83)

| Benchmark | GLM-4.7-Flash | MiMo-V2-Omni |
|---|---|---|
| LMArena Text | 1351 | 1424 |
| LMArena Creative Writing | 1297 | 1393 |
| LMArena Multi-Turn | 1342 | 1446 |
| EQ-Bench Creative Writing | 1125 | — |

## FAQ

### Is GLM-4.7-Flash better than MiMo-V2-Omni?

MiMo-V2-Omni is the stronger model overall, scoring 42.9 to 38.4 on the Noometry Index.

### Which is cheaper, GLM-4.7-Flash or MiMo-V2-Omni?

GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; MiMo-V2-Omni lists at $0.14 and $0.28.

### Is GLM-4.7-Flash or MiMo-V2-Omni better for coding?

MiMo-V2-Omni scores higher on coding benchmarks: 42.7 versus 40.0 in the Noometry coding category.

### Which has the bigger context window?

MiMo-V2-Omni does, with 262K tokens against 200K.

### How many benchmarks do GLM-4.7-Flash and MiMo-V2-Omni share?

16 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and MiMo-V2-Omni has 18.