# GLM-4.5 vs Mistral Large 3

> GLM-4.5 is the stronger model overall, scoring 42.0 to 39.1 on the Noometry Index. Mistral Large 3 costs 2.7× less per token, which makes it the better buy when GLM-4.5's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/glm-4-5-vs-mistral-large-3
- Last updated: 2026-10-10
- Shared benchmarks: 19

## Summary

- They share 19 benchmarks with published results for both. GLM-4.5 scores higher in 5 categories and Mistral Large 3 in 3 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-4.5 leads 28.6 to 15.2.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 57.9% for GLM-4.5 and 50.9% for Mistral Large 3.
- Mistral Large 3 is cheaper at $0.25 / $0.75 per million input/output tokens, against $0.60 / $2.20 for GLM-4.5.
- Mistral Large 3 accepts more context: 262K tokens versus 131K.

## Snapshot

| | GLM-4.5 | Mistral Large 3 |
|---|---|---|
| Provider | Z.ai (Zhipu) | Mistral AI |
| Noometry Index | 42.0 | 39.1 |
| Rank | 122 | 176 |
| Context | 131K | 262K |
| Input $/M | $0.60 | $0.25 |
| Output $/M | $2.20 | $0.75 |
| Weights | Open | Open |

## Coding

- GLM-4.5: 41.4 (#125)
- Mistral Large 3: 34.4 (#237)

| Benchmark | GLM-4.5 | Mistral Large 3 |
|---|---|---|
| LMArena Coding | 1434 | 1448 |
| SWE-bench Verified (bash only) | 54.2% | — |
| LMArena WebDev | — | 1230 |
| WeirdML | 40.6% | — |
| ALE-Bench | 344.82 | — |
| AlgoTune | 1.52 | — |

## Reasoning

- GLM-4.5: 28.6 (#100)
- Mistral Large 3: 15.2 (#319)

| Benchmark | GLM-4.5 | Mistral Large 3 |
|---|---|---|
| Kagi LLM Benchmark | 57.9% | 50.9% |
| LMArena Hard Prompts | 1429 | 1429 |
| NYT Connections (extended) | — | 7.5% |
| Thematic Generalization | — | 23% |

## Math

- GLM-4.5: 39.0 (#116)
- Mistral Large 3: 38.7 (#129)

| Benchmark | GLM-4.5 | Mistral Large 3 |
|---|---|---|
| LMArena Math | 1427 | 1414 |

## Knowledge

- GLM-4.5: 35.9 (#179)
- Mistral Large 3: 36.0 (#177)

| Benchmark | GLM-4.5 | Mistral Large 3 |
|---|---|---|
| LMArena Expert | 1433 | 1421 |
| Humanity's Last Exam | 8.3% | — |
| Confabulations | 11.3% | — |
| Vectara Hallucination Rate | — | 14.5% |

## Multimodal

- GLM-4.5: —
- Mistral Large 3: 38.2 (#66)

| Benchmark | GLM-4.5 | Mistral Large 3 |
|---|---|---|
| LMArena Vision | — | 1221 |

## Multilingual

- GLM-4.5: 52.8 (#77)
- Mistral Large 3: 52.5 (#84)

| Benchmark | GLM-4.5 | Mistral Large 3 |
|---|---|---|
| LMArena Non-English | 1417 | 1413 |
| LMArena Chinese | 1465 | 1447 |
| LMArena French | 1418 | 1455 |
| LMArena German | 1407 | 1437 |
| LMArena Japanese | 1415 | 1394 |
| LMArena Korean | 1380 | 1384 |
| LMArena Russian | 1414 | 1411 |
| LMArena Spanish | 1454 | 1440 |

## Instruction Following

- GLM-4.5: 74.1 (#104)
- Mistral Large 3: 74.0 (#108)

| Benchmark | GLM-4.5 | Mistral Large 3 |
|---|---|---|
| LMArena Instruction Following | 1404 | 1403 |

## Long Context

- GLM-4.5: 38.2 (#201)
- Mistral Large 3: 43.1 (#105)

| Benchmark | GLM-4.5 | Mistral Large 3 |
|---|---|---|
| LMArena Longer Query | 1412 | 1413 |
| Fiction.LiveBench | 58.3% | — |

## Writing & Preference

- GLM-4.5: 57.5 (#127)
- Mistral Large 3: 60.0 (#101)

| Benchmark | GLM-4.5 | Mistral Large 3 |
|---|---|---|
| LMArena Text | 1430 | 1428 |
| LMArena Creative Writing | 1395 | 1386 |
| EQ-Bench Creative Writing | 1343 | 1412 |
| LMArena Multi-Turn | 1415 | 1429 |
| Short-Story Creative Writing | 73.4% | — |

## FAQ

### Is GLM-4.5 better than Mistral Large 3?

GLM-4.5 is the stronger model overall, scoring 42.0 to 39.1 on the Noometry Index. Mistral Large 3 costs 2.7× less per token, which makes it the better buy when GLM-4.5's lead doesn't matter for your workload.

### Which is cheaper, GLM-4.5 or Mistral Large 3?

Mistral Large 3 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; GLM-4.5 lists at $0.60 and $2.20.

### Is GLM-4.5 or Mistral Large 3 better for coding?

GLM-4.5 scores higher on coding benchmarks: 41.4 versus 34.4 in the Noometry coding category.

### Which has the bigger context window?

Mistral Large 3 does, with 262K tokens against 131K.

### How many benchmarks do GLM-4.5 and Mistral Large 3 share?

19 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and Mistral Large 3 has 24.