# GLM-4.6 vs GPT-5-Codex

> GLM-4.6 is the stronger model overall, scoring 40.9 to 37.3 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-4-6-vs-gpt-5-codex
- Last updated: 2026-10-10
- Shared benchmarks: 2

## Summary

- They share 2 benchmarks with published results for both. GLM-4.6 scores higher in 1 category and GPT-5-Codex in 2 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5-Codex leads 30.0 to 23.1.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 47.4% for GLM-4.6 and 70.3% for GPT-5-Codex.
- GLM-4.6 is cheaper at $0.60 / $2.20 per million input/output tokens, against $1.25 / $10 for GPT-5-Codex.
- GPT-5-Codex accepts more context: 400K tokens versus 205K.
- GLM-4.6 has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-4.6 | GPT-5-Codex |
|---|---|---|
| Provider | Z.ai (Zhipu) | OpenAI |
| Noometry Index | 40.9 | 37.3 |
| Rank | 132 | 190 |
| Context | 205K | 400K |
| Input $/M | $0.60 | $1.25 |
| Output $/M | $2.20 | $10 |
| Weights | Open | Proprietary |

## Coding

- GLM-4.6: 39.9 (#137)
- GPT-5-Codex: 41.9 (#100)

| Benchmark | GLM-4.6 | GPT-5-Codex |
|---|---|---|
| SWE-bench Verified (bash only) | 55.4% | — |
| LMArena WebDev | 1339 | — |
| SciCode | 38.4% | — |
| WeirdML | — | 54.5% |
| LMArena Coding | 1449 | — |
| ALE-Bench | 340.82 | — |

## Agentic & Tool Use

- GLM-4.6: 32.1 (#60)
- GPT-5-Codex: 30.8 (#66)

| Benchmark | GLM-4.6 | GPT-5-Codex |
|---|---|---|
| Terminal-Bench | 24.5% | 44.3% |
| Berkeley Function Calling Leaderboard | 72.4% | — |

## Reasoning

- GLM-4.6: 23.1 (#168)
- GPT-5-Codex: 30.0 (#80)

| Benchmark | GLM-4.6 | GPT-5-Codex |
|---|---|---|
| Kagi LLM Benchmark | 47.4% | 70.3% |
| CritPt | 1.1% | — |
| LMArena Hard Prompts | 1440 | — |

## Math

- GLM-4.6: 36.4 (#115)
- GPT-5-Codex: —

| Benchmark | GLM-4.6 | GPT-5-Codex |
|---|---|---|
| LMArena Math | 1431 | — |
| FrontierMath (Feb 2025 set) | 3.8% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |

## Knowledge

- GLM-4.6: 39.6 (#118)
- GPT-5-Codex: —

| Benchmark | GLM-4.6 | GPT-5-Codex |
|---|---|---|
| Vectara Hallucination Rate | 9.5% | — |
| LMArena Expert | 1432 | — |

## Multilingual

- GLM-4.6: 53.6 (#62)
- GPT-5-Codex: —

| Benchmark | GLM-4.6 | GPT-5-Codex |
|---|---|---|
| LMArena Non-English | 1426 | — |
| LMArena Chinese | 1500 | — |
| LMArena French | 1459 | — |
| LMArena German | 1447 | — |
| LMArena Japanese | 1394 | — |
| LMArena Korean | 1401 | — |
| LMArena Russian | 1418 | — |
| LMArena Spanish | 1436 | — |

## Instruction Following

- GLM-4.6: 74.5 (#93)
- GPT-5-Codex: —

| Benchmark | GLM-4.6 | GPT-5-Codex |
|---|---|---|
| LMArena Instruction Following | 1410 | — |

## Long Context

- GLM-4.6: 43.4 (#91)
- GPT-5-Codex: —

| Benchmark | GLM-4.6 | GPT-5-Codex |
|---|---|---|
| LMArena Longer Query | 1423 | — |

## Writing & Preference

- GLM-4.6: 61.3 (#86)
- GPT-5-Codex: —

| Benchmark | GLM-4.6 | GPT-5-Codex |
|---|---|---|
| LMArena Text | 1440 | — |
| LMArena Creative Writing | 1411 | — |
| EQ-Bench Creative Writing | 1411 | — |
| LMArena Multi-Turn | 1427 | — |

## FAQ

### Is GLM-4.6 better than GPT-5-Codex?

GLM-4.6 is the stronger model overall, scoring 40.9 to 37.3 on the Noometry Index.

### Which is cheaper, GLM-4.6 or GPT-5-Codex?

GLM-4.6 is cheaper. It lists at $0.60 per million input tokens and $2.20 per million output tokens; GPT-5-Codex lists at $1.25 and $10.

### Is GLM-4.6 or GPT-5-Codex better for coding?

GPT-5-Codex scores higher on coding benchmarks: 41.9 versus 39.9 in the Noometry coding category.

### Which has the bigger context window?

GPT-5-Codex does, with 400K tokens against 205K.

### How many benchmarks do GLM-4.6 and GPT-5-Codex share?

2 benchmarks have published results for both models. GLM-4.6 has 29 scored results on Noometry and GPT-5-Codex has 3.