OpenAI: o3 Deep Research
Analysis Summary
OpenAI: o3 Deep Research sits in the Professional tier on our leaderboard, ranked #52 of 523 published models on overall intelligence. At $10.00 input and $40.00 output per 1M tokens, it is among the most expensive on the market. It offers a generous context window for extended reasoning and code review and supports tool use, function calling, vision, and reasoning.
Editorial notes
OpenAI's o3 Deep Research is a strong reasoning and coding model with impressive benchmark scores, vision support, and tool use ā well-suited to complex research, analysis, and coding tasks for businesses. Pricing is on the higher side, but the depth of capability justifies the cost for demanding professional workflows.
Assessed April 23, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
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.
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Benchmark data from Artificial Analysis and Hugging Face
How does OpenAI: o3 Deep Research stack up?
Compare side-by-side with other professional models.
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $10.00 | $0.010000 |
| Output | $40.00 | $0.040000 |
