OpenAI: o1-pro
Analysis Summary
OpenAI: o1-pro sits in the Efficient tier on our leaderboard, ranked #228 of 525 published models on overall intelligence. At $150.00 input and $600.00 output per 1M tokens, it is among the most expensive on the market. It offers a generous context window for extended reasoning and code review and supports vision and reasoning.
Editorial notes
OpenAI's o1-pro is a capable reasoning model with vision and file input support, but its extremely high pricing ($150/$600 per million tokens) makes it difficult to justify for most business use cases when stronger alternatives exist at a fraction of the cost.
Assessed April 23, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
The o1 series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o1-pro model uses more compute to think harder and provide..
Capabilities
How does OpenAI: o1-pro stack up?
Compare side-by-side with other efficient models.
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $150.00 | $0.150000 |
| Output | $600.00 | $0.600000 |
Leaderboard Categories
External Resources
Explore Related Models
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: April 25, 2026 8:38 pm