The gold standard for autonomous AI research — if you can afford to run it.
Conducting exhaustive, multi-source research that would take a human analyst hours to compile manually.
Autonomous web browsing and source synthesis far beyond standard chat models
Deep multi-step reasoning enables it to resolve contradictions across sources and form defensible conclusions
200K context window handles lengthy documents and research threads without truncation
Produces structured, citation-backed reports suitable for professional use
Extremely expensive at $10/$40 per million tokens — a lengthy research session can cost tens of dollars
See what OpenAI: o3 Deep Research actually costs at your usage level
Based on OpenAI: o3 Deep Research API pricing: $10/1M input · $40/1M output. Real costs vary by provider discounts and caching. Check the provider for exact current rates.
Price History
→0% since May 9
4 data points · tracked daily since May 9, 2026
Conducting exhaustive, multi-source research that would take a human analyst hours to compile manually.. Start free — no card required.
Recommendations are made independently based on real-world use and public benchmarks. See our disclosures for details.
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OpenAI: o3 Deep Research (OpenAI) is now indexed. The gold standard for autonomous AI research — if you can afford to run it.
View modelOpenAI: o3 Deep Research is best for conducting exhaustive, multi-source research that would take a human analyst hours to compile manually.. It is a strong fit when that workflow matters more than the tradeoffs around premium pricing and deliberate speed.
You need quick answers, have a tight budget, or are working on tasks outside of research, analysis, or long-form synthesis.
Google: Gemma 2 9B is the lower-cost option to compare first when you want a similar workflow fit with less token spend.
GPT-5.5 is the better pick when response time matters more than maximum depth or premium quality.
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You need quick answers, have a tight budget, or are working on tasks outside of research, analysis, or long-form synthesis.
Deliberate, slow execution makes it unsuitable for real-time or interactive use cases
No image generation; limited utility for creative or casual tasks
GPT-4 Turbo is OpenAI's high-capability flagship model featuring a 128K context window, trained on data up to April 2024. It delivers strong reasoning, coding, and instruction-following across complex tasks.
GPT-4 Turbo (v1106) is an older snapshot of OpenAI's flagship GPT-4 Turbo model released in November 2023, offering a 128K context window with strong general-purpose reasoning and instruction-following capabilities. It predates later GPT-4 Turbo updates and GPT-4o, making it a legacy choice for workflows locked to this specific version.
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