# GLM-5.3 vs o1-pro

> GLM-5.3 is the stronger model overall, scoring 54.6 to 31.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-5-3-vs-o1-pro
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in knowledge, where GLM-5.3 leads 58.3 to 29.3.
- GLM-5.3 is cheaper at $1.40 / $4.40 per million input/output tokens, against $150 / $600 for o1-pro.
- GLM-5.3 accepts more context: 1M tokens versus 200K.
- GLM-5.3 has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-5.3 | o1-pro |
|---|---|---|
| Provider | Z.ai (Zhipu) | OpenAI |
| Noometry Index | 54.6 | 31.2 |
| Rank | 25 | 264 |
| Context | 1M | 200K |
| Input $/M | $1.40 | $150 |
| Output $/M | $4.40 | $600 |
| Weights | Open | Proprietary |

## Coding

- GLM-5.3: 59.0 (#12)
- o1-pro: —

| Benchmark | GLM-5.3 | o1-pro |
|---|---|---|
| DeepSWE | 69% | — |
| FrontierCode | 40.1% | — |
| LMArena WebDev | 1623 | — |
| FrontierSWE | 30.2% | — |
| SciCode | 59% | — |
| WeirdML | 75.4% | — |
| LMArena Coding | 1499 | — |
| ALE-Bench | 1,317 | — |

## Agentic & Tool Use

- GLM-5.3: 36.3 (#34)
- o1-pro: —

| Benchmark | GLM-5.3 | o1-pro |
|---|---|---|
| APEX-Agents | 56.6% | — |
| Vending-Bench 2 | 8,164 | — |

## Reasoning

- GLM-5.3: 45.2 (#42)
- o1-pro: 20.2 (#223)

| Benchmark | GLM-5.3 | o1-pro |
|---|---|---|
| NYT Connections (extended) | 74.2% | — |
| ARC-AGI-1 | — | 23.3% |
| CritPt | 19.1% | — |
| Chess Puzzles | 21% | — |
| EnigmaEval | — | 6.1% |
| LMArena Hard Prompts | 1491 | — |
| Mystery Game Puzzles | 33% | — |
| DTBench | 87.7% | — |
| LMCA | 55.5% | — |
| Bench to the Future 3 | 0.15 | — |
| Epoch Capabilities Index | 155.56 | — |

## Math

- GLM-5.3: 62.1 (#27)
- o1-pro: —

| Benchmark | GLM-5.3 | o1-pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | 68.8% | — |
| FrontierMath Tier 4 | 29.3% | — |
| OTIS Mock AIME 2024-2025 | 91.1% | — |
| ProofBench | 49% | — |
| LMArena Math | 1493 | — |

## Knowledge

- GLM-5.3: 58.3 (#34)
- o1-pro: 29.3 (#227)

| Benchmark | GLM-5.3 | o1-pro |
|---|---|---|
| GPQA Diamond | 90.9% | — |
| Humanity's Last Exam | — | 8.1% |
| SimpleQA Verified | 41% | — |
| LMArena Expert | 1512 | — |

## Multilingual

- GLM-5.3: 55.9 (#27)
- o1-pro: —

| Benchmark | GLM-5.3 | o1-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)
- o1-pro: —

| Benchmark | GLM-5.3 | o1-pro |
|---|---|---|
| LMArena Instruction Following | 1481 | — |

## Long Context

- GLM-5.3: 45.5 (#32)
- o1-pro: —

| Benchmark | GLM-5.3 | o1-pro |
|---|---|---|
| LMArena Longer Query | 1485 | — |

## Writing & Preference

- GLM-5.3: 75.9 (#6)
- o1-pro: —

| Benchmark | GLM-5.3 | o1-pro |
|---|---|---|
| LMArena Text | 1473 | — |
| LMArena Creative Writing | 1459 | — |
| EQ-Bench Creative Writing | 2075 | — |
| LMArena Multi-Turn | 1473 | — |

## FAQ

### Is GLM-5.3 better than o1-pro?

GLM-5.3 is the stronger model overall, scoring 54.6 to 31.2 on the Noometry Index.

### Which is cheaper, GLM-5.3 or o1-pro?

GLM-5.3 is cheaper. It lists at $1.40 per million input tokens and $4.40 per million output tokens; o1-pro lists at $150 and $600.

### Which has the bigger context window?

GLM-5.3 does, with 1M tokens against 200K.

### How many benchmarks do GLM-5.3 and o1-pro share?

0 benchmarks have published results for both models. GLM-5.3 has 41 scored results on Noometry and o1-pro has 3.