OpenAI: o1 (batch)
Analysis Summary
o1 is an OpenAI reasoning-oriented model with text, image, and file input, a 200K context window, tool use, and function calling. That combination is well suited to complex briefs, technical investigation, long-document analysis, and workflows that need structured actions. The supplied record contains no benchmark results for this batch variant, so its measured standing cannot be confirmed here.
Businesses can consider it for high-value analysis, difficult coding assistance, and agent workflows that benefit from broad context and multimodal inputs. The listed price of $7.50 per million input tokens and $30 per million output tokens discourages bulk content generation and routine support. Teams should reserve it for tasks where deeper reasoning has clear commercial value.
Adopt o1 selectively for demanding client work, with a cheaper model handling straightforward generation and classification.
Assessed August 9, 2026
Editorial notes
o1 pairs a 200K context window with vision, file input, tool use, and function calling for complex analysis and technical workflows. Its premium pricing and absent benchmark record make it a selective specialist rather than a default volume model.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
o1 pairs a 200K context window with vision, file input, tool use, and function calling for complex analysis and technical workflows. Its premium pricing and absent benchmark record make it a selective specialist rather than a default volume model.
How OpenAI: o1 (batch) compares
Its 200K-token context window is larger than 55% of the models we list. At $7.50 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 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 | $7.50 | $0.007500 |
| Output | $30.00 | $0.030000 |
What would OpenAI: o1 (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 748 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save OpenAI: o1 (batch) for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: o1 (batch)
The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason..
Frequently asked questions about OpenAI: o1 (batch)
How much does OpenAI: o1 (batch) cost?
OpenAI: o1 (batch) costs $7.50 per million input tokens and $30.00 per million output tokens.
What is the context window of OpenAI: o1 (batch)?
OpenAI: o1 (batch) has a context window of 200,000 tokens (200K).
What can OpenAI: o1 (batch) do?
OpenAI: o1 (batch) supports image/vision input, tool use, and function calling.
Who created OpenAI: o1 (batch)?
OpenAI: o1 (batch) is developed by OpenAI and was released on December 17, 2024.