# GLM-4.5 vs Mistral Large 4

> Mistral Large 4 is the stronger model overall, scoring 43.1 to 42.0 on the Noometry Index.

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

## Summary

- They share 12 benchmarks with published results for both. GLM-4.5 scores higher in 2 categories and Mistral Large 4 in 6 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in coding, where Mistral Large 4 leads 48.6 to 41.4.
- Both cost about the same: $0.60 input and $2.20 output per million tokens.
- Mistral Large 4 accepts more context: 1.05M tokens versus 131K.
- GLM-4.5 has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-4.5 | Mistral Large 4 |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 42.0 | 43.1 |
| Rank | 122 | 99 |
| Context | 131K | 1.05M |
| Input $/M | $0.60 | $0.68 |
| Output $/M | $2.20 | $2.09 |
| Weights | Open | Proprietary |

## Coding

- GLM-4.5: 41.4 (#125)
- Mistral Large 4: 48.6 (#57)

| Benchmark | GLM-4.5 | Mistral Large 4 |
|---|---|---|
| LMArena Coding | 1434 | 1475 |
| SWE-bench Verified (bash only) | 54.2% | — |
| LMArena WebDev | — | 1541 |
| WeirdML | 40.6% | — |
| ALE-Bench | 344.82 | — |
| AlgoTune | 1.52 | — |

## Reasoning

- GLM-4.5: 28.6 (#100)
- Mistral Large 4: 22.5 (#192)

| Benchmark | GLM-4.5 | Mistral Large 4 |
|---|---|---|
| LMArena Hard Prompts | 1429 | 1444 |
| Kagi LLM Benchmark | 57.9% | — |
| NYT Connections (extended) | — | 27.4% |

## Math

- GLM-4.5: 39.0 (#116)
- Mistral Large 4: 40.4 (#91)

| Benchmark | GLM-4.5 | Mistral Large 4 |
|---|---|---|
| LMArena Math | 1427 | 1488 |

## Knowledge

- GLM-4.5: 35.9 (#179)
- Mistral Large 4: 36.6 (#166)

| Benchmark | GLM-4.5 | Mistral Large 4 |
|---|---|---|
| LMArena Expert | 1433 | 1447 |
| Humanity's Last Exam | 8.3% | — |
| SimpleQA Verified | — | 20% |
| Confabulations | 11.3% | — |

## Multilingual

- GLM-4.5: 52.8 (#77)
- Mistral Large 4: 52.6 (#82)

| Benchmark | GLM-4.5 | Mistral Large 4 |
|---|---|---|
| LMArena Non-English | 1417 | 1415 |
| LMArena Chinese | 1465 | 1491 |
| LMArena Russian | 1414 | 1414 |
| LMArena French | 1418 | — |
| LMArena German | 1407 | — |
| LMArena Japanese | 1415 | — |
| LMArena Korean | 1380 | — |
| LMArena Spanish | 1454 | — |

## Instruction Following

- GLM-4.5: 74.1 (#104)
- Mistral Large 4: 75.0 (#76)

| Benchmark | GLM-4.5 | Mistral Large 4 |
|---|---|---|
| LMArena Instruction Following | 1404 | 1424 |

## Long Context

- GLM-4.5: 38.2 (#201)
- Mistral Large 4: 43.6 (#89)

| Benchmark | GLM-4.5 | Mistral Large 4 |
|---|---|---|
| LMArena Longer Query | 1412 | 1429 |
| Fiction.LiveBench | 58.3% | — |

## Writing & Preference

- GLM-4.5: 57.5 (#127)
- Mistral Large 4: 60.4 (#97)

| Benchmark | GLM-4.5 | Mistral Large 4 |
|---|---|---|
| LMArena Text | 1430 | 1427 |
| LMArena Creative Writing | 1395 | 1361 |
| LMArena Multi-Turn | 1415 | 1424 |
| Short-Story Creative Writing | 73.4% | — |
| EQ-Bench Creative Writing | 1343 | — |

## FAQ

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

Mistral Large 4 is the stronger model overall, scoring 43.1 to 42.0 on the Noometry Index.

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

GLM-4.5 is cheaper. It lists at $0.60 per million input tokens and $2.20 per million output tokens; Mistral Large 4 lists at $0.68 and $2.09.

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

Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 41.4 in the Noometry coding category.

### Which has the bigger context window?

Mistral Large 4 does, with 1.05M tokens against 131K.

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

12 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and Mistral Large 4 has 15.