# GLM-4.5V vs MiMo-V2-Flash

> MiMo-V2-Flash is the stronger model overall, scoring 41.3 to 39.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-4-5v-vs-mimo-v2-flash
- Last updated: 2026-10-10
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. GLM-4.5V scores higher in 2 categories and MiMo-V2-Flash in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiMo-V2-Flash leads 59.7 to 52.5.
- MiMo-V2-Flash is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.60 / $1.80 for GLM-4.5V.
- MiMo-V2-Flash accepts more context: 262K tokens versus 64K.

## Snapshot

| | GLM-4.5V | MiMo-V2-Flash |
|---|---|---|
| Provider | Z.ai (Zhipu) | Xiaomi |
| Noometry Index | 39.8 | 41.3 |
| Rank | 158 | 138 |
| Context | 64K | 262K |
| Input $/M | $0.60 | $0.14 |
| Output $/M | $1.80 | $0.28 |
| Weights | Open | Open |

## Coding

- GLM-4.5V: 39.5 (#155)
- MiMo-V2-Flash: 36.1 (#211)

| Benchmark | GLM-4.5V | MiMo-V2-Flash |
|---|---|---|
| LMArena Coding | 1347 | 1443 |
| LMArena WebDev | — | 1330 |
| SciCode | — | 25.9% |
| ALE-Bench | — | 737.95 |

## Reasoning

- GLM-4.5V: 27.4 (#119)
- MiMo-V2-Flash: 24.9 (#157)

| Benchmark | GLM-4.5V | MiMo-V2-Flash |
|---|---|---|
| LMArena Hard Prompts | 1334 | 1420 |
| Kagi LLM Benchmark | 59.8% | — |
| CritPt | — | 0% |

## Math

- GLM-4.5V: 37.4 (#159)
- MiMo-V2-Flash: 38.3 (#139)

| Benchmark | GLM-4.5V | MiMo-V2-Flash |
|---|---|---|
| LMArena Math | 1354 | 1396 |

## Knowledge

- GLM-4.5V: 37.5 (#156)
- MiMo-V2-Flash: 39.7 (#131)

| Benchmark | GLM-4.5V | MiMo-V2-Flash |
|---|---|---|
| LMArena Expert | 1353 | 1425 |

## Multimodal

- GLM-4.5V: 34.3 (#92)
- MiMo-V2-Flash: —

| Benchmark | GLM-4.5V | MiMo-V2-Flash |
|---|---|---|
| LMArena Vision | 1154 | — |

## Multilingual

- GLM-4.5V: 44.6 (#177)
- MiMo-V2-Flash: 51.0 (#113)

| Benchmark | GLM-4.5V | MiMo-V2-Flash |
|---|---|---|
| LMArena Non-English | 1303 | 1392 |
| LMArena Chinese | 1337 | 1462 |
| LMArena Russian | 1298 | 1387 |
| LMArena Spanish | 1336 | 1420 |
| LMArena French | — | 1429 |
| LMArena German | — | 1395 |
| LMArena Japanese | — | 1325 |
| LMArena Korean | — | 1358 |

## Instruction Following

- GLM-4.5V: 69.2 (#175)
- MiMo-V2-Flash: 73.5 (#120)

| Benchmark | GLM-4.5V | MiMo-V2-Flash |
|---|---|---|
| LMArena Instruction Following | 1311 | 1392 |

## Long Context

- GLM-4.5V: 39.6 (#171)
- MiMo-V2-Flash: 43.0 (#110)

| Benchmark | GLM-4.5V | MiMo-V2-Flash |
|---|---|---|
| LMArena Longer Query | 1304 | 1409 |

## Writing & Preference

- GLM-4.5V: 52.5 (#170)
- MiMo-V2-Flash: 59.7 (#106)

| Benchmark | GLM-4.5V | MiMo-V2-Flash |
|---|---|---|
| LMArena Text | 1333 | 1411 |
| LMArena Creative Writing | 1295 | 1375 |
| LMArena Multi-Turn | 1332 | 1404 |

## FAQ

### Is GLM-4.5V better than MiMo-V2-Flash?

MiMo-V2-Flash is the stronger model overall, scoring 41.3 to 39.8 on the Noometry Index.

### Which is cheaper, GLM-4.5V or MiMo-V2-Flash?

MiMo-V2-Flash is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; GLM-4.5V lists at $0.60 and $1.80.

### Is GLM-4.5V or MiMo-V2-Flash better for coding?

GLM-4.5V scores higher on coding benchmarks: 39.5 versus 36.1 in the Noometry coding category.

### Which has the bigger context window?

MiMo-V2-Flash does, with 262K tokens against 64K.

### How many benchmarks do GLM-4.5V and MiMo-V2-Flash share?

13 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and MiMo-V2-Flash has 21.