The gold standard for autonomous AI research — if you can afford to run it.
52
Coding
72
Writing
98
Research
0
Images
8
Value
81
Long Context
Use this when
Conducting exhaustive, multi-source research that would take a human analyst hours to compile manually.
Skip this if
You need quick answers, have a tight budget, or are working on tasks outside of research, analysis, or long-form synthesis.
Pricing
$10.00/1M in
$40.00/1M out
→0%since Jun 2026
Context
200k tokens
Speed
Deliberate
Deep Research mode involves agentic tool calls and web browsing, which can multiply effective token costs significantly. Pricing is per token but real-world research sessions often consume large amounts of both. Available via ChatGPT Plus/Pro and API; API access may require higher usage tiers.
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
Weaknesses
Extremely expensive at $10/$40 per million tokens — a lengthy research session can cost tens of dollars
Deliberate, slow execution makes it unsuitable for real-time or interactive use cases
No image generation; limited utility for creative or casual tasks
Real-world use cases
What people actually use o3 Deep Research for.
Compiling a 20-source competitive landscape report on the EV battery supply chain with cited findings
Synthesizing contradictory clinical trial results across multiple studies to assess drug efficacy evidence
Researching regulatory environments across 10 jurisdictions for a market-entry strategy document
How o3 Deep Research compares
The nearest models people weigh against it, and what actually separates them.
vs GPT-4 Turbo — Against GPT-4 Turbo (OpenAI), o3 Deep Research costs about 20% more per token, takes 1.6x the context and answers slower. GPT-4 Turbo is the one to check first if the price difference matters more than the ceiling.
vs GPT-4 Turbo (older v1106) — Against GPT-4 Turbo (older v1106) (OpenAI), o3 Deep Research costs about 20% more per token, takes 1.6x the context and answers slower. GPT-4 Turbo (older v1106) is the one to check first if the price difference matters more than the ceiling.
vs GPT-4 Turbo Preview — Against GPT-4 Turbo Preview (OpenAI), o3 Deep Research costs about 20% more per token, takes 1.6x the context and answers slower. GPT-4 Turbo Preview is the one to check first if the price difference matters more than the ceiling.
Price History
o3 Deep Research pricing over time
→0% since Jun 1
90 data points · tracked daily since Jun 1, 2026
Ready to try it?
Start using o3 Deep Research
Conducting exhaustive, multi-source research that would take a human analyst hours to compile manually.. Start free — no card required.
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.
Verdict
A capable but aging flagship that has been outpaced by cheaper, faster successors in OpenAI's own lineup.
Quality score
75%
Pricing
$10.00/1M in
$30.00/1M out
Speed
Balanced
3/5 speed
Context
128k tokens
GPT-4 Turbo is available via the OpenAI API. It has largely been succeeded by GPT-4o, which is faster, supports vision natively, and is cheaper. Organizations should evaluate whether migrating to GPT-4o or o3 makes more sense before building new workflows on this model.
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.
Verdict
A reliable but outdated GPT-4 snapshot that only makes sense when version pinning is a hard requirement.
Quality score
66%
Pricing
$10.00/1M in
$30.00/1M out
Speed
Balanced
3/5 speed
Context
128k tokens
This is a pinned model snapshot (v1106) and will not receive capability updates. OpenAI may deprecate older snapshots over time. Knowledge cutoff is April 2023. Not recommended for new deployments given the superior cost-performance of GPT-4o and GPT-4.1.
Legacy128K ContextPinned SnapshotGPT-4Premium
Best for
Teams requiring a pinned, stable version of GPT-4 Turbo for reproducible outputs in long-document analysis or complex instruction pipelines.
GPT-4 Turbo Preview is an early access version of GPT-4 Turbo, OpenAI's then-flagship model featuring a 128K context window and knowledge improvements over the original GPT-4. It was designed to deliver GPT-4-class reasoning at reduced cost compared to the original GPT-4.
Verdict
A once-capable flagship now overshadowed by faster, cheaper, and smarter successors.
Quality score
67%
Pricing
$10.00/1M in
$30.00/1M out
Speed
Balanced
3/5 speed
Context
128k tokens
This is a 'preview' variant that OpenAI has largely deprecated in favor of gpt-4-turbo and gpt-4o. The endpoint may be retired or redirected by OpenAI without notice. Check the OpenAI model deprecation schedule before building production applications on this model.
GPT-4Long ContextLegacyPremiumOpenAI
Best for
Complex multi-step reasoning, long-document analysis, and professional writing tasks requiring strong instruction-following.
o3 Deep Research costs $10 per million input tokens and $40 per million output tokens on the API. A month of 10M input and 2M output tokens runs about $180.00 at list price, before any batch or caching discounts.
What is o3 Deep Research best for?
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.
When should I avoid o3 Deep Research?
You need quick answers, have a tight budget, or are working on tasks outside of research, analysis, or long-form synthesis.
What is a cheaper alternative to o3 Deep Research?
GPT-4 Turbo (OpenAI) at $10.00/1M/1M input against o3 Deep Research's $10.00/1M/1M — roughly 20% less per token all in. A capable but aging flagship that has been outpaced by cheaper, faster successors in OpenAI's own lineup. Compare it first if o3 Deep Research's pricing is the thing stopping you.
What is a faster alternative to o3 Deep Research?
GPT-4 Turbo (older v1106) — balanced against o3 Deep Research's deliberate, with 128k tokens of context. Worth the swap when response time is what your users notice rather than the last few points of reasoning depth.
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