# Codestral vs GLM-4.6V

> GLM-4.6V is the stronger model overall, scoring 41.3 to 30.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/codestral-vs-glm-4-6v
- Last updated: 2026-10-11
- Shared benchmarks: 0

## Summary

- The widest gap is in coding, where GLM-4.6V leads 40.9 to 27.3.
- Both cost about the same: $0.30 input and $0.90 output per million tokens.
- Codestral accepts more context: 256K tokens versus 128K.
- GLM-4.6V has downloadable open weights; the other is API-only.

## Snapshot

| | Codestral | GLM-4.6V |
|---|---|---|
| Provider | Mistral AI | Z.ai (Zhipu) |
| Noometry Index | 30.6 | 41.3 |
| Rank | 290 | 137 |
| Context | 256K | 128K |
| Input $/M | $0.30 | $0.30 |
| Output $/M | $0.90 | $0.90 |
| Weights | Proprietary | Open |

## Coding

- Codestral: 27.3 (#321)
- GLM-4.6V: 40.9 (#128)

| Benchmark | Codestral | GLM-4.6V |
|---|---|---|
| Aider Polyglot | 11.1% | — |
| BigCodeBench Instruct | 41.8% | — |
| LMArena Coding | — | 1390 |
| BigCodeBench Complete | 52.5% | — |
| ALE-Bench | 137.78 | — |
| HumanEval+ | 73.8% | — |
| MBPP+ | 61.9% | — |

## Reasoning

- Codestral: 19.8 (#251)
- GLM-4.6V: 27.6 (#115)

| Benchmark | Codestral | GLM-4.6V |
|---|---|---|
| Kagi LLM Benchmark | 32.5% | — |
| LMArena Hard Prompts | — | 1368 |

## Knowledge

- Codestral: —
- GLM-4.6V: 38.0 (#149)

| Benchmark | Codestral | GLM-4.6V |
|---|---|---|
| LMArena Expert | — | 1371 |

## Multimodal

- Codestral: —
- GLM-4.6V: 34.8 (#90)

| Benchmark | Codestral | GLM-4.6V |
|---|---|---|
| LMArena Vision | — | 1164 |

## Multilingual

- Codestral: —
- GLM-4.6V: 48.6 (#141)

| Benchmark | Codestral | GLM-4.6V |
|---|---|---|
| LMArena Non-English | — | 1359 |
| LMArena Chinese | — | 1425 |
| LMArena Russian | — | 1340 |

## Instruction Following

- Codestral: —
- GLM-4.6V: 71.4 (#151)

| Benchmark | Codestral | GLM-4.6V |
|---|---|---|
| LMArena Instruction Following | — | 1352 |

## Long Context

- Codestral: —
- GLM-4.6V: 41.3 (#143)

| Benchmark | Codestral | GLM-4.6V |
|---|---|---|
| LMArena Longer Query | — | 1358 |

## Writing & Preference

- Codestral: —
- GLM-4.6V: 56.6 (#137)

| Benchmark | Codestral | GLM-4.6V |
|---|---|---|
| LMArena Text | — | 1377 |
| LMArena Creative Writing | — | 1347 |
| LMArena Multi-Turn | — | 1360 |

## FAQ

### Is Codestral better than GLM-4.6V?

GLM-4.6V is the stronger model overall, scoring 41.3 to 30.6 on the Noometry Index.

### Which is cheaper, Codestral or GLM-4.6V?

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

### Is Codestral or GLM-4.6V better for coding?

GLM-4.6V scores higher on coding benchmarks: 40.9 versus 27.3 in the Noometry coding category.

### Which has the bigger context window?

Codestral does, with 256K tokens against 128K.

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

0 benchmarks have published results for both models. Codestral has 7 scored results on Noometry and GLM-4.6V has 12.