# GLM-4.6V vs Pixtral Large

> GLM-4.6V is the stronger model overall, scoring 40.9 to 31.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-4-6v-vs-pixtral-large
- Last updated: 2026-10-10
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. GLM-4.6V scores higher in 3 categories and Pixtral Large in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-4.6V leads 56.8 to 32.9.
- GLM-4.6V is cheaper at $0.30 / $0.90 per million input/output tokens, against $2 / $6 for Pixtral Large.

## Snapshot

| | GLM-4.6V | Pixtral Large |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 40.9 | 31.7 |
| Rank | 133 | 257 |
| Context | 128K | 128K |
| Input $/M | $0.30 | $2 |
| Output $/M | $0.90 | $6 |
| Weights | Open | Open |

## Coding

- GLM-4.6V: 40.2 (#128)
- Pixtral Large: —

| Benchmark | GLM-4.6V | Pixtral Large |
|---|---|---|
| LMArena Coding | 1390 | — |

## Reasoning

- GLM-4.6V: 26.5 (#117)
- Pixtral Large: 20.9 (#208)

| Benchmark | GLM-4.6V | Pixtral Large |
|---|---|---|
| EnigmaEval | — | 0.8% |
| LMArena Hard Prompts | 1368 | — |

## Knowledge

- GLM-4.6V: 37.4 (#148)
- Pixtral Large: —

| Benchmark | GLM-4.6V | Pixtral Large |
|---|---|---|
| LMArena Expert | 1372 | — |

## Multimodal

- GLM-4.6V: 34.2 (#83)
- Pixtral Large: 30.0 (#105)

| Benchmark | GLM-4.6V | Pixtral Large |
|---|---|---|
| LMArena Vision | 1164 | 1089 |

## Multilingual

- GLM-4.6V: 48.8 (#135)
- Pixtral Large: —

| Benchmark | GLM-4.6V | Pixtral Large |
|---|---|---|
| LMArena Non-English | 1359 | — |
| LMArena Chinese | 1426 | — |
| LMArena Russian | 1341 | — |

## Instruction Following

- GLM-4.6V: 71.6 (#145)
- Pixtral Large: —

| Benchmark | GLM-4.6V | Pixtral Large |
|---|---|---|
| LMArena Instruction Following | 1351 | — |

## Long Context

- GLM-4.6V: 41.3 (#138)
- Pixtral Large: —

| Benchmark | GLM-4.6V | Pixtral Large |
|---|---|---|
| LMArena Longer Query | 1358 | — |

## Writing & Preference

- GLM-4.6V: 56.8 (#132)
- Pixtral Large: 32.9 (#273)

| Benchmark | GLM-4.6V | Pixtral Large |
|---|---|---|
| LMArena Text | 1377 | — |
| LMArena Creative Writing | 1347 | — |
| EQ-Bench Creative Writing | — | 988 |
| LMArena Multi-Turn | 1359 | — |

## FAQ

### Is GLM-4.6V better than Pixtral Large?

GLM-4.6V is the stronger model overall, scoring 40.9 to 31.7 on the Noometry Index.

### Which is cheaper, GLM-4.6V or Pixtral Large?

GLM-4.6V is cheaper. It lists at $0.30 per million input tokens and $0.90 per million output tokens; Pixtral Large lists at $2 and $6.

### Which has the bigger context window?

Both accept 128K tokens.

### How many benchmarks do GLM-4.6V and Pixtral Large share?

1 benchmark has published results for both models. GLM-4.6V has 12 scored results on Noometry and Pixtral Large has 3.