OpenAI: o4 Mini Deep Research

Public pricingIntelligence 79/100Large memory視覚深い思考ツール利用

OpenAI: o4 Mini Deep Research はマルチモーダルモデルで、エージェント業務とツール利用に向いています。マルチモーダル入力処理、安定したツール利用とエージェント動作、200K tokensのコンテキスト、バランス型コストの特性を組み合わせ、agent workflows, tool use, and orchestration で安定した動作を支えます。遅延・コスト・スループットが重要な場面に合っており、安定した出力、柔軟な導入、拡張性を求めるチームに実用的です。安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。

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.

Conversations per month50,000

1,00010,00050,000250,0001M10M

Input length

Output length

Repeated questions?

Replies can wait a few hours (batch discount)

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?

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