Do Son 
OpenAI today announced the launch of the o1-Pro model API for developers. The o1 series models, trained using reinforcement learning, are designed to engage in thoughtful reasoning and execute complex inferences. These models support both text and image inputs, though their output is limited to text.
The o1-Pro API is priced at $150 per million input tokens and $600 per million output tokens. It supports a context window of up to 200,000 tokens and allows for a maximum output of 100,000 tokens. The knowledge cutoff for this model is October 1, 2023.
For comparison, DeepSeek’s API pricing ranges from $0.07 to $0.55 per million input tokens and $1.10 to $2.19 per million output tokens. This stark contrast highlights the significantly higher cost of OpenAI’s offering.
Even if o1-Pro surpasses DeepSeek in reasoning capabilities, its steep pricing remains a major drawback—especially considering that most use cases do not require such advanced inference models. OpenAI’s premium pricing strategy is likely to deter a considerable number of developers.
Additionally, OpenAI’s API platform imposes tiered access restrictions, with different quota limits depending on the developer’s access level. Interested developers can refer to the official documentation via the link.
For comparison, here is the documentation for DeepSeek’s API.
