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Governed Profile

OpenAI: o3 Deep Research

OpenAI: o3 Deep Research is a premium model with long context support, suited to image workflows and agent workflows for enterprise teams.

Try OpenAI: o3 Deep Research with your team

Last reviewed: 2026-04-28

Context Window
200,000
Input / 1M
$15.00
Output / 1M
$60.00

What can you do with OpenAI: o3 Deep Research?

Practical ways teams can use OpenAI: o3 Deep Research inside governed AI workflows.

01

Summarize long documents with OpenAI: o3 Deep Research

Condense contracts, policies, technical specs, RFPs, and research reports into decision-ready summaries with OpenAI: o3 Deep Research.

02

Support finance planning with OpenAI: o3 Deep Research

Draft budget narratives, explain spend drivers, create forecast assumptions, and summarize vendor costs with OpenAI: o3 Deep Research.

03

Prepare legal and compliance reviews with OpenAI: o3 Deep Research

Extract obligations, flag risky clauses, compare policy language, and prepare review checklists with OpenAI: o3 Deep Research.

04

Create presentations with OpenAI: o3 Deep Research

Turn notes, research, and meeting outcomes into structured slide outlines, speaker notes, and executive narratives with OpenAI: o3 Deep Research.

05

Code and debug with OpenAI: o3 Deep Research

Draft features, explain unfamiliar code, generate tests, review pull requests, and reason through implementation tradeoffs with OpenAI: o3 Deep Research.

06

Analyze spreadsheets with OpenAI: o3 Deep Research

Interpret CSV exports, explain variance, generate formulas, and identify operational or financial patterns with OpenAI: o3 Deep Research.

07

Draft customer communications with OpenAI: o3 Deep Research

Create support replies, sales follow-ups, onboarding emails, renewal messages, and account updates with OpenAI: o3 Deep Research.

08

Build workflow automations with OpenAI: o3 Deep Research

Plan agent steps, transform data between tools, create structured outputs, and support repeatable operations with OpenAI: o3 Deep Research.

09

Research competitors and markets with OpenAI: o3 Deep Research

Synthesize market signals, positioning, pricing context, customer segments, and competitive risks with OpenAI: o3 Deep Research.

10

Create knowledge-base answers with OpenAI: o3 Deep Research

Answer employee questions from internal policies, product docs, training material, and operating procedures with OpenAI: o3 Deep Research.

11

Improve security reviews with OpenAI: o3 Deep Research

Classify risk, draft incident summaries, review access patterns, and create remediation action lists with OpenAI: o3 Deep Research.

12

Generate product and marketing copy with OpenAI: o3 Deep Research

Create landing-page drafts, positioning variants, launch messaging, ad concepts, and campaign briefs with OpenAI: o3 Deep Research.

Why this model

OpenAI: o3 Deep Research is available in Remova as a long context option with $15.00 per 1M tokens input pricing, $60.00 per 1M tokens output pricing, and text+image+file->text modality support for enterprise AI operations.

  • OpenAI: o3 Deep Research offers long context capacity for enterprise prompts and documents.
  • Current Remova pricing band is premium: $15.00 per 1M tokens input and $60.00 per 1M tokens output.
  • Best-fit workloads include: Image workflows, Agent workflows, Advanced reasoning.
  • Keep audit logs enabled for high-impact use cases.

At a glance

Model ID
openai/o3-deep-research
Context Window
200,000 tokens
Modality
text+image+file->text
Input Modalities
image, text, file
Output Modalities
text
Input Price
$15.00 per 1M tokens
Output Price
$60.00 per 1M tokens
Provider
OpenAI
Listing Date
2025-10-10

Strengths

  • OpenAI: o3 Deep Research is suited for image workflows.
  • Supports long context for multi-step prompts and larger working sets.
  • Pricing profile is premium, enabling predictable workload routing decisions.
  • Can be paired with policy guardrails for safer deployment at scale.

Tradeoffs

  • Policy exceptions should be monitored and reviewed on a fixed cadence.
  • Long-context prompts can increase spend and latency if prompts are not scoped carefully.
  • Premium tiers should be restricted to high-value workflows to avoid unnecessary spend concentration.
  • Multimodal pipelines require strict input handling and validation policies for reliability.

Best for

  • OpenAI: o3 Deep Research for internal productivity assistants and knowledge workflows.
  • OpenAI: o3 Deep Research for tool-driven automation with governance checkpoints.
  • OpenAI: o3 Deep Research for complex analysis and long-form decision support.
  • OpenAI: o3 Deep Research for governed enterprise assistant workflows across teams.

Rollout checklist

  • Define where OpenAI: o3 Deep Research is default vs. fallback in your routing policy.
  • Enable role-based access and policy checks before opening access broadly.
  • Set spend guardrails by team and monitor weekly token consumption.
  • Start with approved teams, then expand in controlled waves.
  • Re-run quality and cost benchmarks monthly as newer releases appear.

Related models

Explore adjacent model profiles for routing and benchmarking decisions.

Free Resource

Where Should Your Team Start with AI?

Tell us your industry and team size. We'll tell you which AI use cases will save the most time with the least setup.

You get

A shortlist of AI use cases ranked by impact and effort for your situation.

Tuning notes

frequency_penalty

Tune repetition control for long responses in multi-step workflows.

include_reasoning

Enable only where reasoning traces add operational value or review quality.

logit_bias

Use this parameter only with tested defaults in production workflows.

logprobs

Use this parameter only with tested defaults in production workflows.

Free Assessment

What Could Go Wrong?

5 questions about how your company uses AI today. We'll show you the risks most companies miss until it's too late.

You get

A risk breakdown with the 3 things you should fix first.

Book demo
Knowledge Hub

OpenAI: o3 Deep Research FAQs

Choose OpenAI: o3 Deep Research when the workload aligns with image workflows, agent workflows, advanced reasoning and quality targets justify its pricing profile.
It depends on workload mix. Most organizations use routing policies so routine traffic stays on lower-cost tiers.
Validate quality on real internal prompts, token efficiency, latency, and policy compliance behavior.

Deploy This Model With Governance

Use policy controls, role-based access, and budget guardrails before enabling advanced model tiers at scale.

Try OpenAI: o3 Deep Research with your team