o1-pro vs Parse
Comparing o1-pro and Parse across benchmarks, pricing, and capabilities.
OpenAI · Cohere · Updated for 2026
Which is better?
o1-pro and Parse trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose o1-pro
- you are already invested in the OpenAI ecosystem
Choose Parse
- you want the most recent training data — it shipped Aug 2026
At a glance
The differences that matter most.
Individual benchmarks
2 reported for o1-pro · 1 for Parse
o1-pro and Parsedon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Context Window
Maximum input and output token capacity
Only Parse specifies input context (8,192 tokens).
Input capabilities
Documented input modalities across available providers
Both o1-pro and Parse support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
o1-pro
Parse
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
o1-pro was released on 2024-12-17, while Parse was released on 2026-08-27.
Parse is 21 months newer than o1-pro.
Dec 17, 2024
1.7 years ago
Aug 27, 2026
4 days ago
1.7yr newerKnowledge Cutoff
When training data ends
o1-pro has a documented knowledge cutoff of 2023-09-30, while Parse'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 Parse's cutoff date.
Sep 2023
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Outputs Comparison
Judge for yourself.
Run your own prompts against o1-pro and Parse side-by-side, then vote on the output you prefer.
FAQ
Common questions about o1-pro vs Parse.