# GLM-4.6V vs MiMo-V2.6-Pro

> MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 41.3 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-4-6v-vs-mimo-v2-6-pro
- Last updated: 2026-10-11
- Shared benchmarks: 12

## Summary

- They share 12 benchmarks with published results for both. GLM-4.6V scores higher in 0 categories and MiMo-V2.6-Pro in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where MiMo-V2.6-Pro leads 43.1 to 27.6.
- GLM-4.6V is cheaper at $0.30 / $0.90 per million input/output tokens, against $0.43 / $0.87 for MiMo-V2.6-Pro.
- MiMo-V2.6-Pro accepts more context: 1.05M tokens versus 128K.

## Snapshot

| | GLM-4.6V | MiMo-V2.6-Pro |
|---|---|---|
| Provider | Z.ai (Zhipu) | Xiaomi |
| Noometry Index | 41.3 | 50.3 |
| Rank | 137 | 49 |
| Context | 128K | 1.05M |
| Input $/M | $0.30 | $0.43 |
| Output $/M | $0.90 | $0.87 |
| Weights | Open | Open |

## Coding

- GLM-4.6V: 40.9 (#128)
- MiMo-V2.6-Pro: 55.5 (#23)

| Benchmark | GLM-4.6V | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Coding | 1390 | 1534 |
| LMArena WebDev | — | 1629 |
| SciCode | — | 60.9% |
| ALE-Bench | — | 1,158 |

## Agentic & Tool Use

- GLM-4.6V: —
- MiMo-V2.6-Pro: 37.5 (#35)

| Benchmark | GLM-4.6V | MiMo-V2.6-Pro |
|---|---|---|
| APEX-Agents | — | 59.5% |

## Reasoning

- GLM-4.6V: 27.6 (#115)
- MiMo-V2.6-Pro: 43.1 (#50)

| Benchmark | GLM-4.6V | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Hard Prompts | 1368 | 1512 |
| CritPt | — | 26.6% |

## Math

- GLM-4.6V: —
- MiMo-V2.6-Pro: 54.5 (#45)

| Benchmark | GLM-4.6V | MiMo-V2.6-Pro |
|---|---|---|
| ProofBench | — | 70% |
| LMArena Math | — | 1494 |

## Knowledge

- GLM-4.6V: 38.0 (#149)
- MiMo-V2.6-Pro: 43.5 (#92)

| Benchmark | GLM-4.6V | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Expert | 1371 | 1543 |

## Multimodal

- GLM-4.6V: 34.8 (#90)
- MiMo-V2.6-Pro: 40.8 (#43)

| Benchmark | GLM-4.6V | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Vision | 1164 | 1264 |

## Multilingual

- GLM-4.6V: 48.6 (#141)
- MiMo-V2.6-Pro: 56.9 (#14)

| Benchmark | GLM-4.6V | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Non-English | 1359 | 1474 |
| LMArena Chinese | 1425 | 1529 |
| LMArena Russian | 1340 | 1480 |

## Instruction Following

- GLM-4.6V: 71.4 (#151)
- MiMo-V2.6-Pro: 78.2 (#12)

| Benchmark | GLM-4.6V | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Instruction Following | 1352 | 1493 |

## Long Context

- GLM-4.6V: 41.3 (#143)
- MiMo-V2.6-Pro: 46.0 (#27)

| Benchmark | GLM-4.6V | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Longer Query | 1358 | 1501 |

## Writing & Preference

- GLM-4.6V: 56.6 (#137)
- MiMo-V2.6-Pro: 66.8 (#33)

| Benchmark | GLM-4.6V | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Text | 1377 | 1492 |
| LMArena Creative Writing | 1347 | 1468 |
| LMArena Multi-Turn | 1360 | 1464 |

## FAQ

### Is GLM-4.6V better than MiMo-V2.6-Pro?

MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 41.3 on the Noometry Index.

### Which is cheaper, GLM-4.6V or MiMo-V2.6-Pro?

GLM-4.6V is cheaper. It lists at $0.30 per million input tokens and $0.90 per million output tokens; MiMo-V2.6-Pro lists at $0.43 and $0.87.

### Is GLM-4.6V or MiMo-V2.6-Pro better for coding?

MiMo-V2.6-Pro scores higher on coding benchmarks: 55.5 versus 40.9 in the Noometry coding category.

### Which has the bigger context window?

MiMo-V2.6-Pro does, with 1.05M tokens against 128K.

### How many benchmarks do GLM-4.6V and MiMo-V2.6-Pro share?

12 benchmarks have published results for both models. GLM-4.6V has 12 scored results on Noometry and MiMo-V2.6-Pro has 19.