o4 Mini Deep Research — OpenAI | Modeldex

o4 Mini Deep Research

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o4-mini-deep-research is OpenAI's faster, more affordable deep research model—ideal for tackling complex, multi-step research tasks. Note: This model always uses the 'web_search' tool which adds additional cost.

Updated 4 days agoStructured data from Modeldex catalog

VisionAgenticLong context

API release

Oct 10, 2025(6 months ago)

Not enough benchmark coverage yet for an Intelligence Index — needs at least 3 results across 2 categories.

Overview

History

o4 Mini Deep Research became available via the OpenAI API on 2025-10-10.

Training & availability

OpenAI has not released the underlying model weights — access is via their hosted API only.

Capabilities

Context window: 200K tokens.
Max output: 100K tokens.
Input modalities: file, image, text.

Recommended for: vision, agentic, long-context.

Pricing

Input: $2.0000 per 1M tokens
Output: $8.0000 per 1M tokens

Use the cost calculator above to estimate monthly spend for your workload.

Quick start

Minimal example using the openai API. Copy, paste, replace the key.

from openai import OpenAI

client = OpenAI(api_key="sk-...")
resp = client.chat.completions.create(
    model="o4-mini-deep-research",
    messages=[{"role": "user", "content": "Explain quantum computing in one sentence."}],
)
print(resp.choices[0].message.content)

Cost calculator

Estimate your monthly bill. Presets are typical workload sizes.

Input tokens / month5.0M

@ $2/1M

Output tokens / month2.0M

@ $8/1M

Input cost

$10

5.0M × $2/1M

Output cost

$16

2.0M × $8/1M

Total / month

$26

$312 / year

Integrations & tooling support

Tool calling: Supported
Structured outputs: Not supported

Price vs quality

Mid-tier pricing

Standard pricing band. Quality tier pending more benchmark coverage.

Quality percentile: —
Effective price: $6.5/1M
Pricing breakdown: $2/1M in
$8/1M out

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