# GLM-5.3 vs GPT-5 Pro

> GLM-5.3 is the stronger model overall, scoring 54.6 to 46.2 on the Noometry Index.

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

## Summary

- They share 4 benchmarks with published results for both. GLM-5.3 scores higher in 4 categories and GPT-5 Pro in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in coding, where GLM-5.3 leads 59.0 to 43.4.
- The biggest single-benchmark swing is WeirdML: 75.4% for GLM-5.3 and 60.4% for GPT-5 Pro.
- GLM-5.3 is cheaper at $1.40 / $4.40 per million input/output tokens, against $15 / $120 for GPT-5 Pro.
- GLM-5.3 accepts more context: 1M tokens versus 400K.
- GLM-5.3 has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-5.3 | GPT-5 Pro |
|---|---|---|
| Provider | Z.ai (Zhipu) | OpenAI |
| Noometry Index | 54.6 | 46.2 |
| Rank | 25 | 58 |
| Context | 1M | 400K |
| Input $/M | $1.40 | $15 |
| Output $/M | $4.40 | $120 |
| Weights | Open | Proprietary |

## Coding

- GLM-5.3: 59.0 (#12)
- GPT-5 Pro: 43.4 (#77)

| Benchmark | GLM-5.3 | GPT-5 Pro |
|---|---|---|
| WeirdML | 75.4% | 60.4% |
| DeepSWE | 69% | — |
| FrontierCode | 40.1% | — |
| LMArena WebDev | 1623 | — |
| FrontierSWE | 30.2% | — |
| SciCode | 59% | — |
| LMArena Coding | 1499 | — |
| ALE-Bench | 1,317 | — |
| AlgoTune | — | 1.31 |

## Agentic & Tool Use

- GLM-5.3: 36.3 (#34)
- GPT-5 Pro: —

| Benchmark | GLM-5.3 | GPT-5 Pro |
|---|---|---|
| APEX-Agents | 56.6% | — |
| Vending-Bench 2 | 8,164 | — |

## Reasoning

- GLM-5.3: 45.2 (#42)
- GPT-5 Pro: 39.2 (#52)

| Benchmark | GLM-5.3 | GPT-5 Pro |
|---|---|---|
| Epoch Capabilities Index | 155.56 | 150.26 |
| ARC-AGI-2 | — | 18.3% |
| SimpleBench | — | 61.6% |
| Kagi LLM Benchmark | — | 76.8% |
| NYT Connections (extended) | 74.2% | — |
| ARC-AGI-1 | — | 70.2% |
| CritPt | 19.1% | — |
| Chess Puzzles | 21% | — |
| EnigmaEval | — | 18.8% |
| LMArena Hard Prompts | 1491 | — |
| Mystery Game Puzzles | 33% | — |
| DTBench | 87.7% | — |
| LMCA | 55.5% | — |
| Bench to the Future 3 | 0.15 | — |

## Math

- GLM-5.3: 62.1 (#27)
- GPT-5 Pro: 48.0 (#53)

| Benchmark | GLM-5.3 | GPT-5 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | 68.8% | 55.8% |
| FrontierMath Tier 4 | 29.3% | 19.5% |
| OTIS Mock AIME 2024-2025 | 91.1% | — |
| ProofBench | 49% | — |
| LMArena Math | 1493 | — |
| FrontierMath Tier 4 (v1) | — | 14.6% |

## Knowledge

- GLM-5.3: 58.3 (#34)
- GPT-5 Pro: 56.2 (#39)

| Benchmark | GLM-5.3 | GPT-5 Pro |
|---|---|---|
| GPQA Diamond | 90.9% | — |
| Humanity's Last Exam | — | 31.6% |
| SimpleQA Verified | 41% | — |
| LMArena Expert | 1512 | — |

## Multilingual

- GLM-5.3: 55.9 (#27)
- GPT-5 Pro: —

| Benchmark | GLM-5.3 | GPT-5 Pro |
|---|---|---|
| LMArena Non-English | 1457 | — |
| LMArena Chinese | 1523 | — |
| LMArena French | 1499 | — |
| LMArena German | 1505 | — |
| LMArena Japanese | 1438 | — |
| LMArena Korean | 1478 | — |
| LMArena Russian | 1460 | — |
| LMArena Spanish | 1444 | — |

## Instruction Following

- GLM-5.3: 77.8 (#15)
- GPT-5 Pro: —

| Benchmark | GLM-5.3 | GPT-5 Pro |
|---|---|---|
| LMArena Instruction Following | 1481 | — |

## Long Context

- GLM-5.3: 45.5 (#32)
- GPT-5 Pro: —

| Benchmark | GLM-5.3 | GPT-5 Pro |
|---|---|---|
| LMArena Longer Query | 1485 | — |

## Writing & Preference

- GLM-5.3: 75.9 (#6)
- GPT-5 Pro: —

| Benchmark | GLM-5.3 | GPT-5 Pro |
|---|---|---|
| LMArena Text | 1473 | — |
| LMArena Creative Writing | 1459 | — |
| EQ-Bench Creative Writing | 2075 | — |
| LMArena Multi-Turn | 1473 | — |

## FAQ

### Is GLM-5.3 better than GPT-5 Pro?

GLM-5.3 is the stronger model overall, scoring 54.6 to 46.2 on the Noometry Index.

### Which is cheaper, GLM-5.3 or GPT-5 Pro?

GLM-5.3 is cheaper. It lists at $1.40 per million input tokens and $4.40 per million output tokens; GPT-5 Pro lists at $15 and $120.

### Is GLM-5.3 or GPT-5 Pro better for coding?

GLM-5.3 scores higher on coding benchmarks: 59.0 versus 43.4 in the Noometry coding category.

### Which has the bigger context window?

GLM-5.3 does, with 1M tokens against 400K.

### How many benchmarks do GLM-5.3 and GPT-5 Pro share?

4 benchmarks have published results for both models. GLM-5.3 has 41 scored results on Noometry and GPT-5 Pro has 12.