# Codestral vs GLM-4.5

> GLM-4.5 is the stronger model overall, scoring 42.0 to 30.6 on the Noometry Index. Codestral costs 2.2× 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/codestral-vs-glm-4-5
- Last updated: 2026-10-10
- Shared benchmarks: 2

## Summary

- They share 2 benchmarks with published results for both. Codestral scores higher in 0 categories and GLM-4.5 in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in coding, where GLM-4.5 leads 41.4 to 27.3.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 32.5% for Codestral and 57.9% for GLM-4.5.
- Codestral is cheaper at $0.30 / $0.90 per million input/output tokens, against $0.60 / $2.20 for GLM-4.5.
- Codestral accepts more context: 256K tokens versus 131K.
- GLM-4.5 has downloadable open weights; the other is API-only.

## Snapshot

| | Codestral | GLM-4.5 |
|---|---|---|
| Provider | Mistral AI | Z.ai (Zhipu) |
| Noometry Index | 30.6 | 42.0 |
| Rank | 290 | 122 |
| Context | 256K | 131K |
| Input $/M | $0.30 | $0.60 |
| Output $/M | $0.90 | $2.20 |
| Weights | Proprietary | Open |

## Coding

- Codestral: 27.3 (#321)
- GLM-4.5: 41.4 (#125)

| Benchmark | Codestral | GLM-4.5 |
|---|---|---|
| ALE-Bench | 137.78 | 344.82 |
| SWE-bench Verified (bash only) | — | 54.2% |
| Aider Polyglot | 11.1% | — |
| WeirdML | — | 40.6% |
| BigCodeBench Instruct | 41.8% | — |
| LMArena Coding | — | 1434 |
| BigCodeBench Complete | 52.5% | — |
| AlgoTune | — | 1.52 |
| HumanEval+ | 73.8% | — |
| MBPP+ | 61.9% | — |

## Reasoning

- Codestral: 19.8 (#251)
- GLM-4.5: 28.6 (#100)

| Benchmark | Codestral | GLM-4.5 |
|---|---|---|
| Kagi LLM Benchmark | 32.5% | 57.9% |
| LMArena Hard Prompts | — | 1429 |

## Math

- Codestral: —
- GLM-4.5: 39.0 (#116)

| Benchmark | Codestral | GLM-4.5 |
|---|---|---|
| LMArena Math | — | 1427 |

## Knowledge

- Codestral: —
- GLM-4.5: 35.9 (#179)

| Benchmark | Codestral | GLM-4.5 |
|---|---|---|
| Humanity's Last Exam | — | 8.3% |
| Confabulations | — | 11.3% |
| LMArena Expert | — | 1433 |

## Multilingual

- Codestral: —
- GLM-4.5: 52.8 (#77)

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

## Instruction Following

- Codestral: —
- GLM-4.5: 74.1 (#104)

| Benchmark | Codestral | GLM-4.5 |
|---|---|---|
| LMArena Instruction Following | — | 1404 |

## Long Context

- Codestral: —
- GLM-4.5: 38.2 (#201)

| Benchmark | Codestral | GLM-4.5 |
|---|---|---|
| Fiction.LiveBench | — | 58.3% |
| LMArena Longer Query | — | 1412 |

## Writing & Preference

- Codestral: —
- GLM-4.5: 57.5 (#127)

| Benchmark | Codestral | GLM-4.5 |
|---|---|---|
| LMArena Text | — | 1430 |
| LMArena Creative Writing | — | 1395 |
| Short-Story Creative Writing | — | 73.4% |
| EQ-Bench Creative Writing | — | 1343 |
| LMArena Multi-Turn | — | 1415 |

## FAQ

### Is Codestral better than GLM-4.5?

GLM-4.5 is the stronger model overall, scoring 42.0 to 30.6 on the Noometry Index. Codestral costs 2.2× less per token, which makes it the better buy when GLM-4.5's lead doesn't matter for your workload.

### Which is cheaper, Codestral or GLM-4.5?

Codestral is cheaper. It lists at $0.30 per million input tokens and $0.90 per million output tokens; GLM-4.5 lists at $0.60 and $2.20.

### Is Codestral or GLM-4.5 better for coding?

GLM-4.5 scores higher on coding benchmarks: 41.4 versus 27.3 in the Noometry coding category.

### Which has the bigger context window?

Codestral does, with 256K tokens against 131K.

### How many benchmarks do Codestral and GLM-4.5 share?

2 benchmarks have published results for both models. Codestral has 7 scored results on Noometry and GLM-4.5 has 27.