# GLM-4.5V vs GPT-5.3 Codex

> GPT-5.3 Codex is the stronger model overall, scoring 45.5 to 39.2 on the Noometry Index. GLM-4.5V costs 5.3× less per token, which makes it the better buy when GPT-5.3 Codex's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/glm-4-5v-vs-gpt-5-3-codex
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in coding, where GPT-5.3 Codex leads 48.5 to 38.9.
- GLM-4.5V is cheaper at $0.60 / $1.80 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Codex.
- GPT-5.3 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-5.3 Codex |
|---|---|---|
| Provider | Z.ai (Zhipu) | OpenAI |
| Noometry Index | 39.2 | 45.5 |
| Rank | 158 | 61 |
| Context | 64K | 400K |
| Input $/M | $0.60 | $1.75 |
| Output $/M | $1.80 | $14 |
| Weights | Open | Proprietary |

## Coding

- GLM-4.5V: 38.9 (#152)
- GPT-5.3 Codex: 48.5 (#51)

| Benchmark | GLM-4.5V | GPT-5.3 Codex |
|---|---|---|
| SWE-bench Verified | — | 74.8% |
| LMArena WebDev | — | 1408 |
| WeirdML | — | 79.3% |
| LMArena Coding | 1347 | — |
| ALE-Bench | — | 1,655 |

## Agentic & Tool Use

- GLM-4.5V: —
- GPT-5.3 Codex: 47.8 (#9)

| Benchmark | GLM-4.5V | GPT-5.3 Codex |
|---|---|---|
| Terminal-Bench | — | 78.4% |
| METR Time Horizons | — | 74.5% |
| Vending-Bench 2 | — | 5,940 |

## Reasoning

- GLM-4.5V: 26.5 (#118)
- GPT-5.3 Codex: —

| Benchmark | GLM-4.5V | GPT-5.3 Codex |
|---|---|---|
| Kagi LLM Benchmark | 59.8% | — |
| LMArena Hard Prompts | 1335 | — |
| Epoch Capabilities Index | — | 156.84 |

## Math

- GLM-4.5V: 34.7 (#157)
- GPT-5.3 Codex: —

| Benchmark | GLM-4.5V | GPT-5.3 Codex |
|---|---|---|
| LMArena Math | 1353 | — |

## Knowledge

- GLM-4.5V: 36.8 (#155)
- GPT-5.3 Codex: —

| Benchmark | GLM-4.5V | GPT-5.3 Codex |
|---|---|---|
| LMArena Expert | 1353 | — |

## Multimodal

- GLM-4.5V: 33.6 (#86)
- GPT-5.3 Codex: —

| Benchmark | GLM-4.5V | GPT-5.3 Codex |
|---|---|---|
| LMArena Vision | 1154 | — |

## Multilingual

- GLM-4.5V: 44.9 (#172)
- GPT-5.3 Codex: —

| Benchmark | GLM-4.5V | GPT-5.3 Codex |
|---|---|---|
| LMArena Non-English | 1304 | — |
| LMArena Chinese | 1338 | — |
| LMArena Russian | 1299 | — |
| LMArena Spanish | 1335 | — |

## Instruction Following

- GLM-4.5V: 69.4 (#170)
- GPT-5.3 Codex: —

| Benchmark | GLM-4.5V | GPT-5.3 Codex |
|---|---|---|
| LMArena Instruction Following | 1311 | — |

## Long Context

- GLM-4.5V: 39.6 (#166)
- GPT-5.3 Codex: —

| Benchmark | GLM-4.5V | GPT-5.3 Codex |
|---|---|---|
| LMArena Longer Query | 1305 | — |

## Writing & Preference

- GLM-4.5V: 52.7 (#162)
- GPT-5.3 Codex: —

| Benchmark | GLM-4.5V | GPT-5.3 Codex |
|---|---|---|
| LMArena Text | 1333 | — |
| LMArena Creative Writing | 1295 | — |
| LMArena Multi-Turn | 1333 | — |

## FAQ

### Is GLM-4.5V better than GPT-5.3 Codex?

GPT-5.3 Codex is the stronger model overall, scoring 45.5 to 39.2 on the Noometry Index. GLM-4.5V costs 5.3× less per token, which makes it the better buy when GPT-5.3 Codex's lead doesn't matter for your workload.

### Which is cheaper, GLM-4.5V or GPT-5.3 Codex?

GLM-4.5V is cheaper. It lists at $0.60 per million input tokens and $1.80 per million output tokens; GPT-5.3 Codex lists at $1.75 and $14.

### Is GLM-4.5V or GPT-5.3 Codex better for coding?

GPT-5.3 Codex scores higher on coding benchmarks: 48.5 versus 38.9 in the Noometry coding category.

### Which has the bigger context window?

GPT-5.3 Codex does, with 400K tokens against 64K.

### How many benchmarks do GLM-4.5V and GPT-5.3 Codex share?

0 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and GPT-5.3 Codex has 8.