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HomeModelsOpenAI: o3 Deep Research
OpenAIPremium

OpenAI: o3 Deep Research

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 May 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.

How to access
API
$10/1M input tokens
Subscription = chat interface. API = build with it. Compare all subscription plans
Switch to instead if...
Best overall
Claude Fable 5
Cheaper option
Google: Gemma 2 9B
Faster option
GPT-5.5

Strengths

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 OpenAI: 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

Price History

OpenAI: o3 Deep Research pricing over time

→0% since May 9

$10.80$10.40$10.00$9.60$9.20May 9May 18May 29Jun 7Jun 17Jun 26

48 data points · tracked daily since May 9, 2026

Ready to try it?

Start using OpenAI: o3 Deep Research

Conducting exhaustive, multi-source research that would take a human analyst hours to compile manually.. Start free — no card required.

Try OpenAI: o3 Deep Research freeCompare alternatives

Recommendations are made independently based on real-world use and public benchmarks. See our disclosures for details.

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Similar models worth checking before you commit.

OpenAIPremium

GPT-5.5

OpenAI's latest agentic flagship for coding, research, computer-use workflows, and long multi-step knowledge work.

Verdict
Best OpenAI flagship for agentic coding, research, and computer-use work.
Quality score
94%
Pricing
$30.00/1M in
$180.00/1M out
Speed
Balanced
Best for agentic coding, computer-use workflows, and complex research tasks
Context
1M tokens
Ranked from public benchmark and pricing data verified April 26, 2026: SWE-Bench Pro 58.6%, Terminal-Bench 2.0 82.7%, $5/$30 per 1M tokens, 1M API context.
AgenticCodingComputer useLong contextPremium
Best for
Agentic coding, computer-use workflows, and complex research tasks
View model
OpenAIPremium

OpenAI: GPT-4 Turbo

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
Best for complex multi-step tasks requiring deep reasoning, long document analysis, or sophisticated code generation where cost is secondary to quality.
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.
128K contextGPT-4 classfunction callingOpenAIpremium
Best for
Complex multi-step tasks requiring deep reasoning, long document analysis, or sophisticated code generation where cost is secondary to quality.
View model
OpenAIPremium

OpenAI: GPT-4 Turbo (older v1106)

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
Best for teams requiring a pinned, stable version of gpt-4 turbo for reproducible outputs in long-document analysis or complex instruction pipelines.
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.
View model

Change history

Pricing moves, ranking shifts, and capability updates.

New ModelMar 27, 2026

OpenAI: o3 Deep Research — added to UseRightAI

OpenAI: o3 Deep Research (OpenAI) is now indexed. The gold standard for autonomous AI research — if you can afford to run it.

View model

FAQ

What is OpenAI: o3 Deep Research best for?

OpenAI: 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 OpenAI: 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 OpenAI: o3 Deep Research?

Google: Gemma 2 9B is the lower-cost option to compare first when you want a similar workflow fit with less token spend.

What is a faster alternative to OpenAI: o3 Deep Research?

GPT-5.5 is the better pick when response time matters more than maximum depth or premium quality.

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