# GLM-4.7 vs GPT-5.3 Chat

> GLM-4.7 and GPT-5.3 Chat score almost the same on the Noometry Index (41.7 vs 42.1), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/glm-4-7-vs-gpt-5-3-chat
- Last updated: 2026-10-10
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. GLM-4.7 scores higher in 6 categories and GPT-5.3 Chat in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-4.7 leads 47.0 to 38.2.
- GLM-4.7 is cheaper at $0.60 / $2.20 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
- GLM-4.7 accepts more context: 205K tokens versus 128K.
- GLM-4.7 has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-4.7 | GPT-5.3 Chat |
|---|---|---|
| Provider | Z.ai (Zhipu) | OpenAI |
| Noometry Index | 41.7 | 42.1 |
| Rank | 117 | 109 |
| Context | 205K | 128K |
| Input $/M | $0.60 | $1.75 |
| Output $/M | $2.20 | $14 |
| Weights | Open | Proprietary |

## Coding

- GLM-4.7: 43.6 (#74)
- GPT-5.3 Chat: 40.8 (#124)

| Benchmark | GLM-4.7 | GPT-5.3 Chat |
|---|---|---|
| LMArena Coding | 1454 | 1408 |
| LMArena WebDev | 1435 | — |
| SciCode | 45.1% | — |
| ALE-Bench | 399.48 | — |

## Agentic & Tool Use

- GLM-4.7: 26.4 (#96)
- GPT-5.3 Chat: —

| Benchmark | GLM-4.7 | GPT-5.3 Chat |
|---|---|---|
| Terminal-Bench | 33.4% | — |
| Vending-Bench 2 | 2,377 | — |

## Reasoning

- GLM-4.7: 23.7 (#161)
- GPT-5.3 Chat: 27.3 (#105)

| Benchmark | GLM-4.7 | GPT-5.3 Chat |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1399 |
| SimpleBench | 47.7% | — |
| CritPt | 1.7% | — |
| Chess Puzzles | 6% | — |
| Epoch Capabilities Index | 143.53 | — |

## Math

- GLM-4.7: 37.7 (#92)
- GPT-5.3 Chat: 35.4 (#146)

| Benchmark | GLM-4.7 | GPT-5.3 Chat |
|---|---|---|
| LMArena Math | 1423 | 1389 |
| OTIS Mock AIME 2024-2025 | 83.3% | — |
| ProofBench | 6% | — |
| FrontierMath (Feb 2025 set) | 2.4% | — |
| FrontierMath Tier 4 (v1) | 0% | — |

## Knowledge

- GLM-4.7: 47.0 (#74)
- GPT-5.3 Chat: 38.2 (#137)

| Benchmark | GLM-4.7 | GPT-5.3 Chat |
|---|---|---|
| LMArena Expert | 1424 | 1397 |
| GPQA Diamond | 83.3% | — |
| SimpleQA Verified | 32.2% | — |
| Vectara Hallucination Rate | 11.7% | — |

## Multilingual

- GLM-4.7: 53.0 (#75)
- GPT-5.3 Chat: 50.5 (#119)

| Benchmark | GLM-4.7 | GPT-5.3 Chat |
|---|---|---|
| LMArena Non-English | 1417 | 1383 |
| LMArena Chinese | 1495 | 1433 |
| LMArena French | 1432 | 1398 |
| LMArena German | 1426 | 1384 |
| LMArena Japanese | 1439 | 1351 |
| LMArena Korean | 1401 | 1347 |
| LMArena Russian | 1423 | 1400 |
| LMArena Spanish | 1433 | 1371 |

## Instruction Following

- GLM-4.7: 74.6 (#90)
- GPT-5.3 Chat: 73.0 (#124)

| Benchmark | GLM-4.7 | GPT-5.3 Chat |
|---|---|---|
| LMArena Instruction Following | 1411 | 1378 |

## Long Context

- GLM-4.7: 42.8 (#111)
- GPT-5.3 Chat: 42.6 (#115)

| Benchmark | GLM-4.7 | GPT-5.3 Chat |
|---|---|---|
| LMArena Longer Query | 1432 | 1396 |
| CL-bench | 15.9% | — |
| CL-bench Life | 10.9% | — |

## Writing & Preference

- GLM-4.7: 61.1 (#89)
- GPT-5.3 Chat: 63.3 (#65)

| Benchmark | GLM-4.7 | GPT-5.3 Chat |
|---|---|---|
| LMArena Text | 1436 | 1389 |
| LMArena Creative Writing | 1401 | 1356 |
| EQ-Bench Creative Writing | 1413 | 1690 |
| LMArena Multi-Turn | 1446 | 1413 |

## FAQ

### Is GLM-4.7 better than GPT-5.3 Chat?

GLM-4.7 and GPT-5.3 Chat score almost the same on the Noometry Index (41.7 vs 42.1), so choose on price, context window or the category you care about most.

### Which is cheaper, GLM-4.7 or GPT-5.3 Chat?

GLM-4.7 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-4.7 or GPT-5.3 Chat better for coding?

GLM-4.7 scores higher on coding benchmarks: 43.6 versus 40.8 in the Noometry coding category.

### Which has the bigger context window?

GLM-4.7 does, with 205K tokens against 128K.

### How many benchmarks do GLM-4.7 and GPT-5.3 Chat share?

18 benchmarks have published results for both models. GLM-4.7 has 36 scored results on Noometry and GPT-5.3 Chat has 18.