OpenAI: o1
Analysis Summary
OpenAI o1 is a reasoning-focused model released in December 2024, built around extended chain-of-thought processing. Its intelligence index of 23.4, coding index of 39.7, and agentic index of 37.7 place it well above the 2024-era general models, and its GPQA of 0.747 and livecodebench of 0.679 reflect strong performance on hard reasoning and coding tasks. Vision, tool use, and function calling round out a broad capability set across a 200K context window.
For businesses, o1 suits the most demanding analytical tasks: complex code generation, multi-step reasoning over long documents, scientific analysis, and agentic workflows requiring reliable tool use. Its instruction-following benchmarks are strong, making it reliable for structured output and client-facing content where accuracy is critical.
The main trade-off is cost: at $15.00 input and $60.00 output per million tokens, it is among the most expensive models available. It rewards high-value, low-volume tasks where reasoning depth justifies the premium. Teams should pair it with cheaper models for routine or high-volume calls.
Assessed July 10, 2026
Editorial notes
OpenAI o1 delivers strong reasoning, coding, and agentic performance with vision and tool use across a 200K context window; its premium pricing limits cost-sensitive deployments.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
OpenAI o1 delivers strong reasoning, coding, and agentic performance with vision and tool use across a 200K context window; its premium pricing limits cost-sensitive deployments.
Benchmark scores
Magenta = intelligence Ā· Ink = technical/agentic Ā· Cyan = content & long-context Ā· Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
23.4 Intelligence IndexĀ·39.7 Coding IndexĀ·37.7 Agentic Index
How OpenAI: o1 compares
OpenAI: o1 ranks #126 of 393 AI models we track for overall intelligence, #57 of 157 for coding, #109 of 300 for agentic tasks. Its 200K-token context window is larger than 63% of the models we list. At $15.00 per million input tokens it is cheaper than 2% of comparable models.
Dark bar = input Ā· light bar = output, scaled to the priciest peer.
1M tokens ā 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 āPricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $15.00 | $0.015000 |
| Output | $60.00 | $0.060000 |
What would OpenAI: o1 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 612 models ā Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save OpenAI: o1 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: o1
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..
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Frequently asked questions about OpenAI: o1
How much does OpenAI: o1 cost?
OpenAI: o1 costs $15.00 per million input tokens and $60.00 per million output tokens.
What is the context window of OpenAI: o1?
OpenAI: o1 has a context window of 200,000 tokens (200K).
Is OpenAI: o1 good for coding?
On our coding benchmark index, OpenAI: o1 ranks #57 of 157 models, placing it in the broader range of the field for code generation and debugging.
What can OpenAI: o1 do?
OpenAI: o1 supports image/vision input, tool use, and function calling.
Who created OpenAI: o1?
OpenAI: o1 is developed by OpenAI and was released on December 17, 2024.
