# GLM-4.5V vs MiMo-V2.6-Pro

> MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 39.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-4-5v-vs-mimo-v2-6-pro
- Last updated: 2026-10-10
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. GLM-4.5V scores higher in 0 categories and MiMo-V2.6-Pro in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where MiMo-V2.6-Pro leads 54.5 to 37.4.
- MiMo-V2.6-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $0.60 / $1.80 for GLM-4.5V.
- MiMo-V2.6-Pro accepts more context: 1.05M tokens versus 64K.

## Snapshot

| | GLM-4.5V | MiMo-V2.6-Pro |
|---|---|---|
| Provider | Z.ai (Zhipu) | Xiaomi |
| Noometry Index | 39.8 | 50.3 |
| Rank | 158 | 49 |
| Context | 64K | 1.05M |
| Input $/M | $0.60 | $0.43 |
| Output $/M | $1.80 | $0.87 |
| Weights | Open | Open |

## Coding

- GLM-4.5V: 39.5 (#155)
- MiMo-V2.6-Pro: 55.5 (#23)

| Benchmark | GLM-4.5V | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Coding | 1347 | 1534 |
| LMArena WebDev | — | 1629 |
| SciCode | — | 60.9% |
| ALE-Bench | — | 1,158 |

## Agentic & Tool Use

- GLM-4.5V: —
- MiMo-V2.6-Pro: 37.5 (#35)

| Benchmark | GLM-4.5V | MiMo-V2.6-Pro |
|---|---|---|
| APEX-Agents | — | 59.5% |

## Reasoning

- GLM-4.5V: 27.4 (#119)
- MiMo-V2.6-Pro: 43.1 (#50)

| Benchmark | GLM-4.5V | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Hard Prompts | 1334 | 1512 |
| Kagi LLM Benchmark | 59.8% | — |
| CritPt | — | 26.6% |

## Math

- GLM-4.5V: 37.4 (#159)
- MiMo-V2.6-Pro: 54.5 (#45)

| Benchmark | GLM-4.5V | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Math | 1354 | 1494 |
| ProofBench | — | 70% |

## Knowledge

- GLM-4.5V: 37.5 (#156)
- MiMo-V2.6-Pro: 43.5 (#92)

| Benchmark | GLM-4.5V | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Expert | 1353 | 1543 |

## Multimodal

- GLM-4.5V: 34.3 (#92)
- MiMo-V2.6-Pro: 40.8 (#43)

| Benchmark | GLM-4.5V | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Vision | 1154 | 1264 |

## Multilingual

- GLM-4.5V: 44.6 (#177)
- MiMo-V2.6-Pro: 56.9 (#14)

| Benchmark | GLM-4.5V | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Non-English | 1303 | 1474 |
| LMArena Chinese | 1337 | 1529 |
| LMArena Russian | 1298 | 1480 |
| LMArena Spanish | 1336 | — |

## Instruction Following

- GLM-4.5V: 69.2 (#175)
- MiMo-V2.6-Pro: 78.2 (#12)

| Benchmark | GLM-4.5V | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Instruction Following | 1311 | 1493 |

## Long Context

- GLM-4.5V: 39.6 (#171)
- MiMo-V2.6-Pro: 46.0 (#27)

| Benchmark | GLM-4.5V | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Longer Query | 1304 | 1501 |

## Writing & Preference

- GLM-4.5V: 52.5 (#170)
- MiMo-V2.6-Pro: 66.8 (#33)

| Benchmark | GLM-4.5V | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Text | 1333 | 1492 |
| LMArena Creative Writing | 1295 | 1468 |
| LMArena Multi-Turn | 1332 | 1464 |

## FAQ

### Is GLM-4.5V better than MiMo-V2.6-Pro?

MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 39.8 on the Noometry Index.

### Which is cheaper, GLM-4.5V or MiMo-V2.6-Pro?

MiMo-V2.6-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; GLM-4.5V lists at $0.60 and $1.80.

### Is GLM-4.5V or MiMo-V2.6-Pro better for coding?

MiMo-V2.6-Pro scores higher on coding benchmarks: 55.5 versus 39.5 in the Noometry coding category.

### Which has the bigger context window?

MiMo-V2.6-Pro does, with 1.05M tokens against 64K.

### How many benchmarks do GLM-4.5V and MiMo-V2.6-Pro share?

13 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and MiMo-V2.6-Pro has 19.