OpenAI: o3 (batch)
- by openai
- openai/o3:batch
o3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual reasoning tasks. It also excels at technical writing and instruction-following....
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$1 per million tokens
- What you pay for everything the model reads. A 1,000-word prompt costs less than a cent.
- Output price$4 per million tokens
- What you pay for everything the model writes. Output usually costs more than input. A 500-word answer costs less than a cent.
- Modalitiesimage, text, file 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