OpenAI: o4 Mini Deep Research

Public pricingIntelligence 79/100Large memoryЗрениеГлубокое рассуждениеРабота с инструментами

OpenAI: o4 Mini Deep Research — это мультимодальной‑модель для агентные сценарии и работа с инструментами. Она сочетает обработку мультимодальных входов и надёжную работу с инструментами и агентами, контекст 200K tokens и профиль сбалансированный по цене, обеспечивая надёжную работу в задачах agent workflows, tool use, and orchestration.

Input

$2.00/1M

Output

$8.00/1M

Cached

$0.50/1M

Batch

$1.00/1M

Calculate your o4 Mini Deep Research bill.

Set your workload — see cost at your exact volume.

What would o4 Mini Deep Research cost you?

Adjust the workload to see your monthly bill.

1,00010,00050,000250,0001M10M

Technical specifications

o4 Mini Deep Research at a glance.

Memory

200,000

tokens

Max reply

100,000

tokens

Memory tier

Large

an entire book or large codebase

Tokenizer

tiktoken-o200k

Released

Jun 2025

Training cutoff

Jun 2024

Availability

Public pricing

Status

active

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick o4 Mini Deep Research

  • Multi-step reasoning, research agents, or hard math.
  • Screenshot analysis, image understanding, or document OCR.
  • Agentic workflows that call tools or APIs.
  • Long documents, full codebases, or extensive chat histories.

When to look elsewhere

  • Very latency-sensitive, real-time apps where every millisecond counts.

Alternatives

Similar models to compare.

FAQ

o4 Mini Deep Research — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, o4 Mini Deep Research costs roughly $470 per month. Input is $2.00 /1M tokens and output is $8.00 /1M tokens.
o4 Mini Deep Research has a 200,000-token context window (large memory — an entire book or large codebase). That means you can fit about 37,500 words of input and history in a single call.
Beyond text generation, o4 Mini Deep Research supports understanding images, deep step-by-step reasoning, calling functions / tools, strict JSON output. It streams replies by default.
o4 Mini Deep Research was released in June 2025, with training data cut off around June 2024.
Models in a similar class include o3, GPT-5.2, GPT-5.2-Codex. The "Similar models" section below this FAQ links into each.

Still unsure?

Compare o4 Mini Deep Research against 100+ other models.

Open the full wizard — pick a use case, set your usage, and see side-by-side monthly costs in under a minute.

Open the comparison wizard