OpenAI: o3 Pro (batch)
Analysis Summary
o3 Pro is an OpenAI model designed for demanding reasoning workflows, with text, image, and file input, a 200K context window, tool use, and function calling. These capabilities cover complex analysis, software tasks, visual review, and agents that need to interact with external systems. No benchmark results are provided for this batch variant, so its comparative performance is not established by the supplied data.
It is appropriate for high-value technical investigation, difficult document work, and client workflows where multimodal context and structured actions are important. The listed price of $10 per million input tokens and $40 per million output tokens makes it unsuitable for routine content volume or basic automation. A lower-cost model should handle simpler calls.
Adopt o3 Pro selectively when the workflow can demonstrate that deeper reasoning offsets its premium cost.
Assessed August 9, 2026
Editorial notes
o3 Pro offers vision, file input, a 200K context window, tool use, and function calling for demanding technical and agentic work. Its premium $10 input and $40 output pricing requires selective use, and no benchmark data is supplied.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
o3 Pro offers vision, file input, a 200K context window, tool use, and function calling for demanding technical and agentic work. Its premium $10 input and $40 output pricing requires selective use, and no benchmark data is supplied.
How OpenAI: o3 Pro (batch) compares
Its 200K-token context window is larger than 55% of the models we list. At $10.00 per million input tokens it is cheaper than 4% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on business fit. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $10.00 | $0.010000 |
| Output | $40.00 | $0.040000 |
What would OpenAI: o3 Pro (batch) cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 750 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save OpenAI: o3 Pro (batch) for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: o3 Pro (batch)
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..
Frequently asked questions about OpenAI: o3 Pro (batch)
How much does OpenAI: o3 Pro (batch) cost?
OpenAI: o3 Pro (batch) costs $10.00 per million input tokens and $40.00 per million output tokens.
What is the context window of OpenAI: o3 Pro (batch)?
OpenAI: o3 Pro (batch) has a context window of 200,000 tokens (200K).
What can OpenAI: o3 Pro (batch) do?
OpenAI: o3 Pro (batch) supports image/vision input, tool use, and function calling.
Who created OpenAI: o3 Pro (batch)?
OpenAI: o3 Pro (batch) is developed by OpenAI and was released on June 10, 2025.