The pragmatic choice for automated deep research at scale — capable enough, priced right, but don't expect o4-level depth.
52
Coding
60
Writing
88
Research
0
Images
62
Value
78
Long Context
Use this when
Automated research pipelines that require web browsing, source synthesis, and structured report generation at scale without flagship-model costs.
Skip this if
You need fast, interactive responses or are working on creative writing, coding assistance, or image-related tasks where its research specialization adds no value.
Pricing
$2.00/1M in
$8.00/1M out
→0%since May 2026
Context
200k tokens
Speed
Deliberate
Deep Research mode requires agentic tool access (web browsing); pricing reflects token usage but research tasks can consume significant tokens across multi-step retrieval loops. Availability may depend on API tier or organizational access level. Not a drop-in replacement for the standard o4 Mini in general-purpose workflows.
Autonomous multi-step web research at roughly 4x lower cost than o4 full model
200K context window handles lengthy source documents and extended research threads
Strong structured output for citations, summaries, and report formatting
Significantly cheaper than Gemini 3.1 Pro for comparable research workloads
Weaknesses
Slower than conversational models like GPT-4o or Claude Sonnet 4.6 due to reasoning overhead
Not suited for creative writing, image tasks, or real-time interactive use cases
Research depth and source quality may still fall short of o4 full or Gemini 3.1 Pro with grounding on complex topics
Real-world use cases
What people actually use o4 Mini Deep Research for.
Generating a competitive landscape report on emerging SaaS markets by autonomously browsing and synthesizing 20+ sources
Building a literature review pipeline that searches, reads, and summarizes recent academic papers on a given topic
Automating due diligence research on companies by pulling and structuring public financial and news data
How o4 Mini Deep Research compares
The nearest models people weigh against it, and what actually separates them.
vs GPT-4 Turbo — Against GPT-4 Turbo (OpenAI), o4 Mini Deep Research runs about 75% cheaper per token, takes 1.6x the context and answers slower. Which one wins depends on whether context depth or latency is your constraint.
vs GPT-4 Turbo (older v1106) — Against GPT-4 Turbo (older v1106) (OpenAI), o4 Mini Deep Research runs about 75% cheaper per token, takes 1.6x the context and answers slower. Which one wins depends on whether context depth or latency is your constraint.
vs GPT-4 Turbo Preview — Against GPT-4 Turbo Preview (OpenAI), o4 Mini Deep Research runs about 75% cheaper per token, takes 1.6x the context and answers slower. Which one wins depends on whether context depth or latency is your constraint.
Price History
o4 Mini Deep Research pricing over time
→0% since May 31
90 data points · tracked daily since May 31, 2026
Ready to try it?
Start using o4 Mini Deep Research
Automated research pipelines that require web browsing, source synthesis, and structured report generation at scale without flagship-model costs.. 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.
Pricing moves, ranking shifts, and capability updates.
New ModelMar 27, 2026
OpenAI: o4 Mini Deep Research — added to UseRightAI
OpenAI: o4 Mini Deep Research (OpenAI) is now indexed. The pragmatic choice for automated deep research at scale — capable enough, priced right, but don't expect o4-level depth.
o4 Mini Deep Research costs $2 per million input tokens and $8 per million output tokens on the API. A month of 10M input and 2M output tokens runs about $36.00 at list price, before any batch or caching discounts.
What is o4 Mini Deep Research best for?
o4 Mini Deep Research is best for automated research pipelines that require web browsing, source synthesis, and structured report generation at scale without flagship-model costs.. It is a strong fit when that workflow matters more than the tradeoffs around balanced pricing and deliberate speed.
When should I avoid o4 Mini Deep Research?
You need fast, interactive responses or are working on creative writing, coding assistance, or image-related tasks where its research specialization adds no value.
What is a cheaper alternative to o4 Mini Deep Research?
GPT-5.6 Terra (OpenAI) at $2.00/1M/1M input against o4 Mini Deep Research's $2.00/1M/1M. Best OpenAI value — near-flagship capability at 60% off. Compare it first if o4 Mini Deep Research's pricing is the thing stopping you.
What is a faster alternative to o4 Mini Deep Research?
GPT-4 Turbo — balanced against o4 Mini 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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