o1
o1Run o1 in a hosted Python Task with file inputs.
OpenAI reasoning model trained with reinforcement learning to perform complex reasoning tasks. Designed to think deeply before responding.
This model retires on October 23, 2026. Plan a move to a newer model before then.
What o1 supports in qbash
- Reasoning effort3 levels, from low to high.
- Image inputReads WEBP, PNG, JPEG and GIF images.
- Document inputReads TEXT, DOC, XLS, RTF, DOCX and 1 more files.
- Prompt cachingRepeated input is billed at the cached rate.
What is qbash?
qbash is where you build Tasks: Python programs that run a business process on managed infrastructure. Your code runs the steps and calls a model like o1 only at the ones that need judgment, with integrations, memory and files available in the same script.
A developer writes the Task once, and anyone on the team runs it from a form, on a schedule, from a webhook or from chat. Each Task is versioned and every run is logged.
Specifications
- Context window
- 200Ktokens
- Max output
- 16,384tokens
Use o1 in a Python Task
qbash.ai.raw calls o1 from a Task and returns its reply as a string.
notes = qbash.inputs.get("notes")
summary = qbash.ai.raw(
f"Summarize these meeting notes in five bullets:\n\n{notes}",
model="o1",
system="You are a concise analyst.",
)
qbash.output({"summary": summary})
Reasoning effort with o1
Set Effort to low, medium and high in the prompt's Settings. The default is medium. Higher effort spends more tokens on reasoning before the reply.
o1 pricing
| Input | $15.00 per 1M tokens |
|---|---|
| Output | $60.00 per 1M tokens |
| Cached input | $7.50 per 1M tokens |
| Web search | $10.00 per 1K searches |
Standard rates in USD.
Supported file formats
Images
- WEBP up to 20 MB
- PNG up to 20 MB
- JPEG up to 20 MB
- GIF up to 20 MB
Documents
- TEXT
- DOC
- XLS
- RTF
- DOCX
- XLSX