OpenAI: o3 Deep Research
Analysis Summary
OpenAI o3 Deep Research is a research-focused reasoning model from OpenAI, built for deep analytical tasks. Its intelligence index of 38.3 places it in the very strong tier, and its math score of 88.3 is exceptional. Tool use, function calling, and vision support make it a capable multi-modal agent for complex research workflows.
For businesses, it is well suited to long-form research synthesis, scientific analysis, financial modelling, and any task requiring sustained multi-step reasoning over large document sets. The 200K context window supports substantial input volumes. Coding performance is moderate relative to its reasoning strength, so pure software engineering tasks are better served by coding-specialist models.
At $10 input and $40 output per million tokens, it is one of the more expensive models in the field. The cost is justifiable for high-value research and analysis tasks where answer quality is critical, but it is not suited to high-volume or routine automation workloads.
Assessed June 6, 2026
Editorial notes
OpenAI o3 Deep Research delivers strong reasoning and exceptional math performance, with tool use, vision, and function calling across a 200K context window, though output pricing at $40 per million tokens is steep.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How OpenAI: o3 Deep Research compares
OpenAI: o3 Deep Research ranks #38 of 382 AI models we track for overall intelligence, #47 of 111 for coding. Its 200K-token context window is larger than 65% of the models we list. At $10.00 per million input tokens it is cheaper than 4% of comparable models.
About 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.
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 specialist models.
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $10.00 | $0.010000 |
| Output | $40.00 | $0.040000 |
Leaderboard Categories
External Resources
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 #47 of 111 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.
