# GLM-4.5 vs GPT-5.3 Chat

> GLM-4.5 and GPT-5.3 Chat score almost the same on the Noometry Index (41.4 vs 42.1), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/glm-4-5-vs-gpt-5-3-chat
- Last updated: 2026-10-10
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. GLM-4.5 scores higher in 5 categories and GPT-5.3 Chat in 3 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-5.3 Chat leads 63.3 to 57.7.
- GLM-4.5 is cheaper at $0.60 / $2.20 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
- GLM-4.5 accepts more context: 131K tokens versus 128K.
- GLM-4.5 has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-4.5 | GPT-5.3 Chat |
|---|---|---|
| Provider | Z.ai (Zhipu) | OpenAI |
| Noometry Index | 41.4 | 42.1 |
| Rank | 125 | 109 |
| Context | 131K | 128K |
| Input $/M | $0.60 | $1.75 |
| Output $/M | $2.20 | $14 |
| Weights | Open | Proprietary |

## Coding

- GLM-4.5: 41.1 (#121)
- GPT-5.3 Chat: 40.8 (#124)

| Benchmark | GLM-4.5 | GPT-5.3 Chat |
|---|---|---|
| LMArena Coding | 1434 | 1408 |
| SWE-bench Verified (bash only) | 54.2% | — |
| WeirdML | 40.6% | — |
| ALE-Bench | 344.82 | — |
| AlgoTune | 1.52 | — |

## Reasoning

- GLM-4.5: 27.7 (#99)
- GPT-5.3 Chat: 27.3 (#105)

| Benchmark | GLM-4.5 | GPT-5.3 Chat |
|---|---|---|
| LMArena Hard Prompts | 1430 | 1399 |
| Kagi LLM Benchmark | 57.9% | — |

## Math

- GLM-4.5: 36.3 (#119)
- GPT-5.3 Chat: 35.4 (#146)

| Benchmark | GLM-4.5 | GPT-5.3 Chat |
|---|---|---|
| LMArena Math | 1427 | 1389 |

## Knowledge

- GLM-4.5: 35.5 (#172)
- GPT-5.3 Chat: 38.2 (#137)

| Benchmark | GLM-4.5 | GPT-5.3 Chat |
|---|---|---|
| LMArena Expert | 1433 | 1397 |
| Humanity's Last Exam | 8.3% | — |
| Confabulations | 11.3% | — |

## Multilingual

- GLM-4.5: 53.0 (#74)
- GPT-5.3 Chat: 50.5 (#119)

| Benchmark | GLM-4.5 | GPT-5.3 Chat |
|---|---|---|
| LMArena Non-English | 1417 | 1383 |
| LMArena Chinese | 1465 | 1433 |
| LMArena French | 1423 | 1398 |
| LMArena German | 1406 | 1384 |
| LMArena Japanese | 1416 | 1351 |
| LMArena Korean | 1382 | 1347 |
| LMArena Russian | 1414 | 1400 |
| LMArena Spanish | 1454 | 1371 |

## Instruction Following

- GLM-4.5: 74.3 (#100)
- GPT-5.3 Chat: 73.0 (#124)

| Benchmark | GLM-4.5 | GPT-5.3 Chat |
|---|---|---|
| LMArena Instruction Following | 1405 | 1378 |

## Long Context

- GLM-4.5: 38.2 (#196)
- GPT-5.3 Chat: 42.6 (#115)

| Benchmark | GLM-4.5 | GPT-5.3 Chat |
|---|---|---|
| LMArena Longer Query | 1413 | 1396 |
| Fiction.LiveBench | 58.3% | — |

## Writing & Preference

- GLM-4.5: 57.7 (#121)
- GPT-5.3 Chat: 63.3 (#65)

| Benchmark | GLM-4.5 | GPT-5.3 Chat |
|---|---|---|
| LMArena Text | 1430 | 1389 |
| LMArena Creative Writing | 1395 | 1356 |
| EQ-Bench Creative Writing | 1343 | 1690 |
| LMArena Multi-Turn | 1415 | 1413 |
| Short-Story Creative Writing | 73.4% | — |

## FAQ

### Is GLM-4.5 better than GPT-5.3 Chat?

GLM-4.5 and GPT-5.3 Chat score almost the same on the Noometry Index (41.4 vs 42.1), so choose on price, context window or the category you care about most.

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

GLM-4.5 is cheaper. It lists at $0.60 per million input tokens and $2.20 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.

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

They score almost the same on coding (41.1 vs 40.8); test both on your own repository before choosing.

### Which has the bigger context window?

GLM-4.5 does, with 131K tokens against 128K.

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

18 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and GPT-5.3 Chat has 18.