GLM-5.3 vs o1-pro
Comparing GLM-5.3 and o1-pro across benchmarks, pricing, and capabilities.
Zhipu AI · OpenAI · Updated for 2026
Which is better?
GLM-5.3 and o1-pro trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
Based on current benchmark, pricing, and model metadata for 2026.
Choose GLM-5.3
- you want the most recent training data — it shipped Aug 2026
Choose o1-pro
- you are already invested in the OpenAI ecosystem
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
GLM-5.3 and o1-prodon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Playground indexes and blind preference scores
Context Window
Maximum input and output token capacity
Only GLM-5.3 specifies input context (1,000,000 tokens). Only GLM-5.3 specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
o1-pro supports multimodal inputs, whereas GLM-5.3 does not.
o1-pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-5.3
o1-pro
Release Timeline
When each model was launched
GLM-5.3 was released on 2026-08-14, while o1-pro was released on 2024-12-17.
GLM-5.3 is 20 months newer than o1-pro.
Aug 14, 2026
1 weeks ago
1.7yr newerDec 17, 2024
1.7 years ago
Knowledge Cutoff
When training data ends
o1-pro has a documented knowledge cutoff of 2023-09-30, while GLM-5.3'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-5.3's cutoff date.
—
Sep 2023
Outputs Comparison
Judge for yourself.
Run your own prompts against GLM-5.3 and o1-pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-5.3 vs o1-pro.