# GLM-4.6 vs GPT-5.3 Chat

> GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 40.9 on the Noometry Index. GLM-4.6 costs 4.8× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/glm-4-6-vs-gpt-5-3-chat
- Last updated: 2026-10-10
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. GLM-4.6 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 reasoning, where GPT-5.3 Chat leads 27.3 to 23.1.
- GLM-4.6 is cheaper at $0.60 / $2.20 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
- GLM-4.6 accepts more context: 205K tokens versus 128K.
- GLM-4.6 has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-4.6 | GPT-5.3 Chat |
|---|---|---|
| Provider | Z.ai (Zhipu) | OpenAI |
| Noometry Index | 40.9 | 42.1 |
| Rank | 132 | 109 |
| Context | 205K | 128K |
| Input $/M | $0.60 | $1.75 |
| Output $/M | $2.20 | $14 |
| Weights | Open | Proprietary |

## Coding

- GLM-4.6: 39.9 (#137)
- GPT-5.3 Chat: 40.8 (#124)

| Benchmark | GLM-4.6 | GPT-5.3 Chat |
|---|---|---|
| LMArena Coding | 1449 | 1408 |
| SWE-bench Verified (bash only) | 55.4% | — |
| LMArena WebDev | 1339 | — |
| SciCode | 38.4% | — |
| ALE-Bench | 340.82 | — |

## Agentic & Tool Use

- GLM-4.6: 32.1 (#60)
- GPT-5.3 Chat: —

| Benchmark | GLM-4.6 | GPT-5.3 Chat |
|---|---|---|
| Terminal-Bench | 24.5% | — |
| Berkeley Function Calling Leaderboard | 72.4% | — |

## Reasoning

- GLM-4.6: 23.1 (#168)
- GPT-5.3 Chat: 27.3 (#105)

| Benchmark | GLM-4.6 | GPT-5.3 Chat |
|---|---|---|
| LMArena Hard Prompts | 1440 | 1399 |
| Kagi LLM Benchmark | 47.4% | — |
| CritPt | 1.1% | — |

## Math

- GLM-4.6: 36.4 (#115)
- GPT-5.3 Chat: 35.4 (#146)

| Benchmark | GLM-4.6 | GPT-5.3 Chat |
|---|---|---|
| LMArena Math | 1431 | 1389 |
| FrontierMath (Feb 2025 set) | 3.8% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |

## Knowledge

- GLM-4.6: 39.6 (#118)
- GPT-5.3 Chat: 38.2 (#137)

| Benchmark | GLM-4.6 | GPT-5.3 Chat |
|---|---|---|
| LMArena Expert | 1432 | 1397 |
| Vectara Hallucination Rate | 9.5% | — |

## Multilingual

- GLM-4.6: 53.6 (#62)
- GPT-5.3 Chat: 50.5 (#119)

| Benchmark | GLM-4.6 | GPT-5.3 Chat |
|---|---|---|
| LMArena Non-English | 1426 | 1383 |
| LMArena Chinese | 1500 | 1433 |
| LMArena French | 1459 | 1398 |
| LMArena German | 1447 | 1384 |
| LMArena Japanese | 1394 | 1351 |
| LMArena Korean | 1401 | 1347 |
| LMArena Russian | 1418 | 1400 |
| LMArena Spanish | 1436 | 1371 |

## Instruction Following

- GLM-4.6: 74.5 (#93)
- GPT-5.3 Chat: 73.0 (#124)

| Benchmark | GLM-4.6 | GPT-5.3 Chat |
|---|---|---|
| LMArena Instruction Following | 1410 | 1378 |

## Long Context

- GLM-4.6: 43.4 (#91)
- GPT-5.3 Chat: 42.6 (#115)

| Benchmark | GLM-4.6 | GPT-5.3 Chat |
|---|---|---|
| LMArena Longer Query | 1423 | 1396 |

## Writing & Preference

- GLM-4.6: 61.3 (#86)
- GPT-5.3 Chat: 63.3 (#65)

| Benchmark | GLM-4.6 | GPT-5.3 Chat |
|---|---|---|
| LMArena Text | 1440 | 1389 |
| LMArena Creative Writing | 1411 | 1356 |
| EQ-Bench Creative Writing | 1411 | 1690 |
| LMArena Multi-Turn | 1427 | 1413 |

## FAQ

### Is GLM-4.6 better than GPT-5.3 Chat?

GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 40.9 on the Noometry Index. GLM-4.6 costs 4.8× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.

### Which is cheaper, GLM-4.6 or GPT-5.3 Chat?

GLM-4.6 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-4.6 or GPT-5.3 Chat better for coding?

They score almost the same on coding (39.9 vs 40.8); test both on your own repository before choosing.

### Which has the bigger context window?

GLM-4.6 does, with 205K tokens against 128K.

### How many benchmarks do GLM-4.6 and GPT-5.3 Chat share?

18 benchmarks have published results for both models. GLM-4.6 has 29 scored results on Noometry and GPT-5.3 Chat has 18.