Analysis Summary
OpenAI's o3 Pro is a premium reasoning model with a 200K context window, vision, tool use, and function calling. Its GPQA result points to strong specialist reasoning, but the available record does not include coding or broader agentic benchmarks, so its software and autonomous workflow performance is less fully established.
It is best suited to difficult analysis, long documents, expert review, and tool-assisted tasks where answer quality matters more than throughput. The $20 input and $80 output pricing sharply limits its role in bulk content, support, and routine SEO automation. Use it selectively for high-value decisions, with a cheaper model handling preparation and follow-up work.
Assessed September 7, 2026
Editorial notes
OpenAI o3 Pro provides strong reasoning signals, vision, function calling, and a 200K context window for demanding workflows, but its very high token prices make it unsuitable for routine volume traffic.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
OpenAI o3 Pro provides strong reasoning signals, vision, function calling, and a 200K context window for demanding workflows, but its very high token prices make it unsuitable for routine volume traffic.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
25.7 Intelligence Index
How OpenAI: o3 Pro compares
OpenAI: o3 Pro ranks #122 of 435 AI models we track for overall intelligence. Its 200K-token context window is larger than 55% of the models we list. At $20.00 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 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 | $20.00 | $0.020000 |
| Output | $80.00 | $0.080000 |
What would OpenAI: o3 Pro 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 OpenAI: o3 Pro for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: o3 Pro
The o-series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o3-pro model uses more compute to think harder and provide consistently..
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Frequently asked questions about OpenAI: o3 Pro
How much does OpenAI: o3 Pro cost?
OpenAI: o3 Pro costs $20.00 per million input tokens and $80.00 per million output tokens.
What is the context window of OpenAI: o3 Pro?
OpenAI: o3 Pro has a context window of 200,000 tokens (200K).
What can OpenAI: o3 Pro do?
OpenAI: o3 Pro supports image/vision input, tool use, and function calling.
Who created OpenAI: o3 Pro?
OpenAI: o3 Pro is developed by OpenAI and was released on June 10, 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 7, 2026 8:38 pm