# GLM-4.5 vs o1-pro

> GLM-4.5 is the stronger model overall, scoring 41.4 to 31.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-4-5-vs-o1-pro
- Last updated: 2026-10-10
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. GLM-4.5 scores higher in 2 categories and o1-pro in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-4.5 leads 27.7 to 20.2.
- GLM-4.5 is cheaper at $0.60 / $2.20 per million input/output tokens, against $150 / $600 for o1-pro.
- o1-pro accepts more context: 200K tokens versus 131K.
- GLM-4.5 has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-4.5 | o1-pro |
|---|---|---|
| Provider | Z.ai (Zhipu) | OpenAI |
| Noometry Index | 41.4 | 31.2 |
| Rank | 125 | 264 |
| Context | 131K | 200K |
| Input $/M | $0.60 | $150 |
| Output $/M | $2.20 | $600 |
| Weights | Open | Proprietary |

## Coding

- GLM-4.5: 41.1 (#121)
- o1-pro: —

| Benchmark | GLM-4.5 | o1-pro |
|---|---|---|
| SWE-bench Verified (bash only) | 54.2% | — |
| WeirdML | 40.6% | — |
| LMArena Coding | 1434 | — |
| ALE-Bench | 344.82 | — |
| AlgoTune | 1.52 | — |

## Reasoning

- GLM-4.5: 27.7 (#99)
- o1-pro: 20.2 (#223)

| Benchmark | GLM-4.5 | o1-pro |
|---|---|---|
| Kagi LLM Benchmark | 57.9% | — |
| ARC-AGI-1 | — | 23.3% |
| EnigmaEval | — | 6.1% |
| LMArena Hard Prompts | 1430 | — |

## Math

- GLM-4.5: 36.3 (#119)
- o1-pro: —

| Benchmark | GLM-4.5 | o1-pro |
|---|---|---|
| LMArena Math | 1427 | — |

## Knowledge

- GLM-4.5: 35.5 (#172)
- o1-pro: 29.3 (#227)

| Benchmark | GLM-4.5 | o1-pro |
|---|---|---|
| Humanity's Last Exam | 8.3% | 8.1% |
| Confabulations | 11.3% | — |
| LMArena Expert | 1433 | — |

## Multilingual

- GLM-4.5: 53.0 (#74)
- o1-pro: —

| Benchmark | GLM-4.5 | o1-pro |
|---|---|---|
| LMArena Non-English | 1417 | — |
| LMArena Chinese | 1465 | — |
| LMArena French | 1423 | — |
| LMArena German | 1406 | — |
| LMArena Japanese | 1416 | — |
| LMArena Korean | 1382 | — |
| LMArena Russian | 1414 | — |
| LMArena Spanish | 1454 | — |

## Instruction Following

- GLM-4.5: 74.3 (#100)
- o1-pro: —

| Benchmark | GLM-4.5 | o1-pro |
|---|---|---|
| LMArena Instruction Following | 1405 | — |

## Long Context

- GLM-4.5: 38.2 (#196)
- o1-pro: —

| Benchmark | GLM-4.5 | o1-pro |
|---|---|---|
| Fiction.LiveBench | 58.3% | — |
| LMArena Longer Query | 1413 | — |

## Writing & Preference

- GLM-4.5: 57.7 (#121)
- o1-pro: —

| Benchmark | GLM-4.5 | o1-pro |
|---|---|---|
| LMArena Text | 1430 | — |
| LMArena Creative Writing | 1395 | — |
| Short-Story Creative Writing | 73.4% | — |
| EQ-Bench Creative Writing | 1343 | — |
| LMArena Multi-Turn | 1415 | — |

## FAQ

### Is GLM-4.5 better than o1-pro?

GLM-4.5 is the stronger model overall, scoring 41.4 to 31.2 on the Noometry Index.

### Which is cheaper, GLM-4.5 or o1-pro?

GLM-4.5 is cheaper. It lists at $0.60 per million input tokens and $2.20 per million output tokens; o1-pro lists at $150 and $600.

### Which has the bigger context window?

o1-pro does, with 200K tokens against 131K.

### How many benchmarks do GLM-4.5 and o1-pro share?

1 benchmark has published results for both models. GLM-4.5 has 27 scored results on Noometry and o1-pro has 3.