# GLM-4.5V vs GPT-5.2 Codex

> GPT-5.2 Codex is the stronger model overall, scoring 42.6 to 39.8 on the Noometry Index. GLM-4.5V costs 5.3× less per token, which makes it the better buy when GPT-5.2 Codex's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/glm-4-5v-vs-gpt-5-2-codex
- Last updated: 2026-10-12
- Shared benchmarks: 0

## Summary

- The widest gap is in coding, where GPT-5.2 Codex leads 45.5 to 39.5.
- GLM-4.5V is cheaper at $0.60 / $1.80 per million input/output tokens, against $1.75 / $14 for GPT-5.2 Codex.
- GPT-5.2 Codex accepts more context: 400K tokens versus 64K.
- GLM-4.5V has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-4.5V | GPT-5.2 Codex |
|---|---|---|
| Provider | Z.ai (Zhipu) | OpenAI |
| Noometry Index | 39.8 | 42.6 |
| Rank | 158 | 111 |
| Context | 64K | 400K |
| Input $/M | $0.60 | $1.75 |
| Output $/M | $1.80 | $14 |
| Weights | Open | Proprietary |

## Coding

- GLM-4.5V: 39.5 (#155)
- GPT-5.2 Codex: 45.5 (#71)

| Benchmark | GLM-4.5V | GPT-5.2 Codex |
|---|---|---|
| SWE-bench Verified (bash only) | — | 72.8% |
| LMArena WebDev | — | 1339 |
| SWE-bench Multilingual | — | 66.3% |
| LMArena Coding | 1347 | — |
| ALE-Bench | — | 1,300 |

## Agentic & Tool Use

- GLM-4.5V: —
- GPT-5.2 Codex: 41.0 (#22)

| Benchmark | GLM-4.5V | GPT-5.2 Codex |
|---|---|---|
| Terminal-Bench | — | 66.5% |

## Reasoning

- GLM-4.5V: 27.4 (#119)
- GPT-5.2 Codex: —

| Benchmark | GLM-4.5V | GPT-5.2 Codex |
|---|---|---|
| Kagi LLM Benchmark | 59.8% | — |
| LMArena Hard Prompts | 1334 | — |

## Math

- GLM-4.5V: 37.4 (#159)
- GPT-5.2 Codex: —

| Benchmark | GLM-4.5V | GPT-5.2 Codex |
|---|---|---|
| LMArena Math | 1354 | — |

## Knowledge

- GLM-4.5V: 37.5 (#156)
- GPT-5.2 Codex: —

| Benchmark | GLM-4.5V | GPT-5.2 Codex |
|---|---|---|
| LMArena Expert | 1353 | — |

## Multimodal

- GLM-4.5V: 34.3 (#92)
- GPT-5.2 Codex: —

| Benchmark | GLM-4.5V | GPT-5.2 Codex |
|---|---|---|
| LMArena Vision | 1154 | — |

## Multilingual

- GLM-4.5V: 44.6 (#177)
- GPT-5.2 Codex: —

| Benchmark | GLM-4.5V | GPT-5.2 Codex |
|---|---|---|
| LMArena Non-English | 1303 | — |
| LMArena Chinese | 1337 | — |
| LMArena Russian | 1298 | — |
| LMArena Spanish | 1336 | — |

## Instruction Following

- GLM-4.5V: 69.2 (#175)
- GPT-5.2 Codex: —

| Benchmark | GLM-4.5V | GPT-5.2 Codex |
|---|---|---|
| LMArena Instruction Following | 1311 | — |

## Long Context

- GLM-4.5V: 39.6 (#171)
- GPT-5.2 Codex: —

| Benchmark | GLM-4.5V | GPT-5.2 Codex |
|---|---|---|
| LMArena Longer Query | 1304 | — |

## Writing & Preference

- GLM-4.5V: 52.5 (#170)
- GPT-5.2 Codex: —

| Benchmark | GLM-4.5V | GPT-5.2 Codex |
|---|---|---|
| LMArena Text | 1333 | — |
| LMArena Creative Writing | 1295 | — |
| LMArena Multi-Turn | 1332 | — |

## FAQ

### Is GLM-4.5V better than GPT-5.2 Codex?

GPT-5.2 Codex is the stronger model overall, scoring 42.6 to 39.8 on the Noometry Index. GLM-4.5V costs 5.3× less per token, which makes it the better buy when GPT-5.2 Codex's lead doesn't matter for your workload.

### Which is cheaper, GLM-4.5V or GPT-5.2 Codex?

GLM-4.5V is cheaper. It lists at $0.60 per million input tokens and $1.80 per million output tokens; GPT-5.2 Codex lists at $1.75 and $14.

### Is GLM-4.5V or GPT-5.2 Codex better for coding?

GPT-5.2 Codex scores higher on coding benchmarks: 45.5 versus 39.5 in the Noometry coding category.

### Which has the bigger context window?

GPT-5.2 Codex does, with 400K tokens against 64K.

### How many benchmarks do GLM-4.5V and GPT-5.2 Codex share?

0 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and GPT-5.2 Codex has 5.