Model Comparison
GLM-4.5V vs o1-pro
Comparing GLM-4.5V and o1-pro across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
GLM-4.5V and o1-pro don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Context Window
Maximum input and output token capacity
Only GLM-4.5V specifies input context (131,072 tokens). Only GLM-4.5V specifies output context (131,072 tokens).
Input Capabilities
Supported data types and modalities
Both GLM-4.5V and o1-pro support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GLM-4.5V
o1-pro
License
Usage and distribution terms
GLM-4.5V is licensed under MIT, while o1-pro uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
GLM-4.5V was released on 2025-08-11, while o1-pro was released on 2024-12-17.
GLM-4.5V is 8 months newer than o1-pro.
Aug 11, 2025
9 months ago
7mo newerDec 17, 2024
1.4 years ago
Knowledge Cutoff
When training data ends
o1-pro has a documented knowledge cutoff of 2023-09-30, while GLM-4.5V's cutoff date is not specified.
We can confirm o1-pro's training data extends to 2023-09-30, but cannot make a direct comparison without GLM-4.5V's cutoff date.
—
Sep 2023
Outputs Comparison
Key Takeaways
GLM-4.5V
View detailsZhipu AI
o1-pro
View detailsOpenAI
No standout differentiators in the data we have for this pair.
Detailed Comparison
FAQ
Common questions about GLM-4.5V vs o1-pro.