# GLM-4.5V vs Mistral Large 4

> Mistral Large 4 is the stronger model overall, scoring 43.1 to 39.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-4-5v-vs-mistral-large-4
- Last updated: 2026-10-10
- Shared benchmarks: 12

## Summary

- They share 12 benchmarks with published results for both. GLM-4.5V scores higher in 2 categories and Mistral Large 4 in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in coding, where Mistral Large 4 leads 48.6 to 39.5.
- GLM-4.5V is cheaper at $0.60 / $1.80 per million input/output tokens, against $0.68 / $2.09 for Mistral Large 4.
- Mistral Large 4 accepts more context: 1.05M tokens versus 64K.
- GLM-4.5V has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-4.5V | Mistral Large 4 |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 39.8 | 43.1 |
| Rank | 158 | 99 |
| Context | 64K | 1.05M |
| Input $/M | $0.60 | $0.68 |
| Output $/M | $1.80 | $2.09 |
| Weights | Open | Proprietary |

## Coding

- GLM-4.5V: 39.5 (#155)
- Mistral Large 4: 48.6 (#57)

| Benchmark | GLM-4.5V | Mistral Large 4 |
|---|---|---|
| LMArena Coding | 1347 | 1475 |
| LMArena WebDev | — | 1541 |

## Reasoning

- GLM-4.5V: 27.4 (#119)
- Mistral Large 4: 22.5 (#192)

| Benchmark | GLM-4.5V | Mistral Large 4 |
|---|---|---|
| LMArena Hard Prompts | 1334 | 1444 |
| Kagi LLM Benchmark | 59.8% | — |
| NYT Connections (extended) | — | 27.4% |

## Math

- GLM-4.5V: 37.4 (#159)
- Mistral Large 4: 40.4 (#91)

| Benchmark | GLM-4.5V | Mistral Large 4 |
|---|---|---|
| LMArena Math | 1354 | 1488 |

## Knowledge

- GLM-4.5V: 37.5 (#156)
- Mistral Large 4: 36.6 (#166)

| Benchmark | GLM-4.5V | Mistral Large 4 |
|---|---|---|
| LMArena Expert | 1353 | 1447 |
| SimpleQA Verified | — | 20% |

## Multimodal

- GLM-4.5V: 34.3 (#92)
- Mistral Large 4: —

| Benchmark | GLM-4.5V | Mistral Large 4 |
|---|---|---|
| LMArena Vision | 1154 | — |

## Multilingual

- GLM-4.5V: 44.6 (#177)
- Mistral Large 4: 52.6 (#82)

| Benchmark | GLM-4.5V | Mistral Large 4 |
|---|---|---|
| LMArena Non-English | 1303 | 1415 |
| LMArena Chinese | 1337 | 1491 |
| LMArena Russian | 1298 | 1414 |
| LMArena Spanish | 1336 | — |

## Instruction Following

- GLM-4.5V: 69.2 (#175)
- Mistral Large 4: 75.0 (#76)

| Benchmark | GLM-4.5V | Mistral Large 4 |
|---|---|---|
| LMArena Instruction Following | 1311 | 1424 |

## Long Context

- GLM-4.5V: 39.6 (#171)
- Mistral Large 4: 43.6 (#89)

| Benchmark | GLM-4.5V | Mistral Large 4 |
|---|---|---|
| LMArena Longer Query | 1304 | 1429 |

## Writing & Preference

- GLM-4.5V: 52.5 (#170)
- Mistral Large 4: 60.4 (#97)

| Benchmark | GLM-4.5V | Mistral Large 4 |
|---|---|---|
| LMArena Text | 1333 | 1427 |
| LMArena Creative Writing | 1295 | 1361 |
| LMArena Multi-Turn | 1332 | 1424 |

## FAQ

### Is GLM-4.5V better than Mistral Large 4?

Mistral Large 4 is the stronger model overall, scoring 43.1 to 39.8 on the Noometry Index.

### Which is cheaper, GLM-4.5V or Mistral Large 4?

GLM-4.5V is cheaper. It lists at $0.60 per million input tokens and $1.80 per million output tokens; Mistral Large 4 lists at $0.68 and $2.09.

### Is GLM-4.5V or Mistral Large 4 better for coding?

Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 39.5 in the Noometry coding category.

### Which has the bigger context window?

Mistral Large 4 does, with 1.05M tokens against 64K.

### How many benchmarks do GLM-4.5V and Mistral Large 4 share?

12 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Mistral Large 4 has 15.