o1-preview
Analysis Summary
o1-preview is an early OpenAI reasoning model with measurable coding capability and a general intelligence level above the smallest models in this batch. The supplied data does not include context capacity, modality, tool use, function calling, or vision, and its preview status signals an older product position.
It may assist with selected technical problems or reasoning-heavy prototypes, but it is not a practical default for agency content, high-volume automation, or tool-driven workflows. The listed input and output prices are exceptionally high relative to the capability information provided, making routine deployment difficult to justify. Its coding profile is useful, but not enough to offset that cost posture.
Retain it only for legacy tests or narrow cases where its reasoning behavior has already been validated.
Assessed September 7, 2026
Editorial notes
o1-preview introduced useful reasoning and coding capability, but its very high listed pricing and older preview status make it unsuitable for routine production. It remains relevant only for constrained legacy experiments or comparison testing.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
o1-preview introduced useful reasoning and coding capability, but its very high listed pricing and older preview status make it unsuitable for routine production. It remains relevant only for constrained legacy experiments or comparison testing.
How o1-preview compares
O1-preview ranks #222 of 435 AI models we track for overall intelligence, #111 of 208 for coding. At $16.50 per million input tokens it is cheaper than 1% 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 intelligence 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 | $16.50 | $0.016500 |
| Output | $66.00 | $0.066000 |
What would o1-preview 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 756 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save o1-preview for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamFrequently asked questions about o1-preview
How much does o1-preview cost?
o1-preview costs $16.50 per million input tokens and $66.00 per million output tokens.
Is o1-preview good for coding?
On our coding benchmark index, o1-preview ranks #111 of 208 models, placing it in the broader range of the field for code generation and debugging.
Who created o1-preview?
o1-preview is developed by OpenAI and was released on September 12, 2024.