OpenAI: o3 Deep Research
Analysis Summary
OpenAI o3 Deep Research is a multimodal research-oriented model with a 200K context window, file handling, vision, tool use, and function calling. Its supplied results show strong reasoning, mathematics, coding, and scientific performance, making it well suited to evidence-heavy analysis, technical research, complex document review, and workflows that require multiple structured steps.
For an agency, it is a strong choice when source quality and reasoning depth matter more than throughput. The main limitation is cost, especially for output, so it should not handle routine copy generation or bulk classification. Use it for research briefs, strategic recommendations, technical audits, and high-value client deliverables, with cheaper models handling preliminary or repetitive work.
Assessed September 7, 2026
Editorial notes
o3 Deep Research combines strong reasoning, coding, mathematics, vision, file handling, and a 200K context with tool use, making it suited to high-stakes research despite premium pricing.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
o3 Deep Research combines strong reasoning, coding, mathematics, vision, file handling, and a 200K context with tool use, making it suited to high-stakes research despite premium pricing.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
38.3 Intelligence Index·38.4 Coding Index·88.3 Math Index
How OpenAI: o3 Deep Research compares
OpenAI: o3 Deep Research ranks #51 of 435 AI models we track for overall intelligence, #100 of 208 for coding. Its 200K-token context window is larger than 55% of the models we list. At $10.00 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 business fit. The pulled-in value 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 | $10.00 | $0.010000 |
| Output | $40.00 | $0.040000 |
What would OpenAI: o3 Deep Research 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 Deep Research for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: o3 Deep Research
o3-deep-research is OpenAI's advanced model for deep research, designed to tackle complex, multi-step research tasks. Note: This model always uses the 'web_search' tool which adds additional cost.
Frequently asked questions about OpenAI: o3 Deep Research
How much does OpenAI: o3 Deep Research cost?
OpenAI: o3 Deep Research costs $10.00 per million input tokens and $40.00 per million output tokens.
What is the context window of OpenAI: o3 Deep Research?
OpenAI: o3 Deep Research has a context window of 200,000 tokens (200K).
Is OpenAI: o3 Deep Research good for coding?
On our coding benchmark index, OpenAI: o3 Deep Research ranks #100 of 208 models, placing it in the broader range of the field for code generation and debugging.
What can OpenAI: o3 Deep Research do?
OpenAI: o3 Deep Research supports image/vision input, tool use, and function calling.
Who created OpenAI: o3 Deep Research?
OpenAI: o3 Deep Research is developed by OpenAI and was released on October 10, 2025.