Analysis Summary
o1-pro is an OpenAI model positioned for demanding reasoning work, with text, image, and file input and a 200K context window. The available data does not list tool use or function calling for this entry, and no benchmark results are supplied for the batch variant. Its strongest documented advantages are multimodal access and long working context.
The model may suit high-stakes document analysis, complex research, and technical review where additional reasoning quality can be tested directly. Its listed price of $75 per million input tokens and $300 per million output tokens makes it unsuitable for ordinary content production, bulk SEO, or routine agent calls. Teams would need a clear accuracy requirement to justify its use.
Treat o1-pro as an expensive specialist and require task-specific validation before placing it in a client workflow.
Assessed August 9, 2026
Editorial notes
o1-pro offers multimodal input and a 200K context window for demanding analysis and technical work. At $75 per million input tokens and $300 per million output tokens, it is a narrowly justified premium option, with no benchmark data supplied here.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
o1-pro offers multimodal input and a 200K context window for demanding analysis and technical work. At $75 per million input tokens and $300 per million output tokens, it is a narrowly justified premium option, with no benchmark data supplied here.
How OpenAI: o1-pro (batch) compares
Its 200K-token context window is larger than 55% of the models we list. At $75.00 per million input tokens it is cheaper than 0% 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 content. 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 | $75.00 | $0.075000 |
| Output | $300.00 | $0.300000 |
What would OpenAI: o1-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 751 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save OpenAI: o1-pro (batch) for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: o1-pro (batch)
The o1 series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o1-pro model uses more compute to think harder and provide..
Explore Related Models
Frequently asked questions about OpenAI: o1-pro (batch)
How much does OpenAI: o1-pro (batch) cost?
OpenAI: o1-pro (batch) costs $75.00 per million input tokens and $300.00 per million output tokens.
What is the context window of OpenAI: o1-pro (batch)?
OpenAI: o1-pro (batch) has a context window of 200,000 tokens (200K).
What can OpenAI: o1-pro (batch) do?
OpenAI: o1-pro (batch) supports image/vision input.
Who created OpenAI: o1-pro (batch)?
OpenAI: o1-pro (batch) is developed by OpenAI and was released on March 19, 2025.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: September 4, 2026 8:38 pm