OpenAI: o3 Pro
- by openai
- openai/o3-pro
The o-series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o3-pro model uses more compute to think harder and provide consistently...
What the numbers mean
- Context window200,000 tokens
- How much the model can read in one request, counting your prompt, any files and the conversation so far. That is about 150,000 words, or 300 pages.
- Max output100,000 tokens
- The longest single reply it can write: about 75,000 words.
- Input price$20 per million tokens
- What you pay for everything the model reads. A 1,000-word prompt costs about $0.03.
- Output price$80 per million tokens
- What you pay for everything the model writes. Output usually costs more than input. A 500-word answer costs about $0.05.
- Modalitiestext, file, image in, text out
- The kinds of content it accepts and the kinds it produces. A model that takes images in can read a screenshot; one that only puts text out cannot draw.
- Knowledge cutoff2024-06-30
- The last date its training data covers. It does not know about anything after that unless you put it in the prompt.
Supported parameters
The settings you can pass with a request. A model that lists tools can call functions; one that lists structured_outputs can be held to a JSON schema.
include_reasoningmax_tokensreasoningresponse_formatseed