OpenAI: o3
Analysis Summary
o3 is an OpenAI reasoning model with a 31.1 intelligence index and a 200,000-token context window. It supports text, image, and file input alongside tool use and function calling, giving it a practical foundation for multi-step analysis and structured business automation. The available record does not include separate coding or agentic benchmark scores, so those areas require workflow validation.
For an agency, o3 is suited to complex SEO strategy, content planning, long-document synthesis, research interpretation, and client-facing work where reasoning quality matters more than raw throughput. Its multimodal input supports briefs and source materials beyond plain text. At $2 per million input tokens and $8 per million output tokens, it is better reserved for high-value tasks than routine content generation.
Use o3 when analysis depth and flexible input matter, and route repetitive production traffic to a cheaper model.
Assessed August 9, 2026
Editorial notes
o3 brings strong general reasoning with vision, file input, a 200K context, and function calling, making it suitable for complex analysis and tool-connected workflows; coding evidence is not supplied separately.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
o3 brings strong general reasoning with vision, file input, a 200K context, and function calling, making it suitable for complex analysis and tool-connected workflows; coding evidence is not supplied separately.
How OpenAI: o3 compares
OpenAI: o3 ranks #117 of 425 AI models we track for overall intelligence. Its 200K-token context window is larger than 57% of the models we list. At $2.00 per million input tokens it is cheaper than 18% 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 | $2.00 | $0.002000 |
| Output | $8.00 | $0.008000 |
What would OpenAI: o3 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 704 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save OpenAI: o3 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: o3
o3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual reasoning tasks. It also excels at technical writing and instruction-following..
Frequently asked questions about OpenAI: o3
How much does OpenAI: o3 cost?
OpenAI: o3 costs $2.00 per million input tokens and $8.00 per million output tokens.
What is the context window of OpenAI: o3?
OpenAI: o3 has a context window of 200,000 tokens (200K).
What can OpenAI: o3 do?
OpenAI: o3 supports image/vision input, tool use, and function calling.
Who created OpenAI: o3?
OpenAI: o3 is developed by OpenAI and was released on April 16, 2025.