o4 Mini High — OpenAI | Modeldex

o4 Mini High

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OpenAI o4-mini-high is the same model as [o4-mini](/openai/o4-mini) with reasoning_effort set to high. OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining...

Updated 4 days agoStructured data from Modeldex catalog

VisionLong context

Knowledge cutoff

Jun 30, 2024(1.8 years ago)

API release

Apr 16, 2025(1.0 years ago)

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

Overview

History

o4 Mini High became available via the OpenAI API on 2025-04-16.

Training & availability

Training data has a knowledge cutoff of 2024-06-30 — information about events after that date is unlikely to appear in the model's responses. OpenAI has not released the underlying model weights — access is via their hosted API only.

Capabilities

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

Recommended for: vision, long-context.

Limitations

The knowledge cutoff is 21 months old — this model will not know about recent events, releases, or API changes.

Pricing

Input: $1.1000 per 1M tokens
Output: $4.4000 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-high",
    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

@ $1.1/1M

Output tokens / month2.0M

@ $4.4/1M

Input cost

$5.5

5.0M × $1.1/1M

Output cost

$8.8

2.0M × $4.4/1M

Total / month

$14.3

$171.6 / year

Integrations & tooling support

Tool calling: Not supported
Structured outputs: Not supported

Price vs quality

Mid-tier pricing

Standard pricing band. Quality tier pending more benchmark coverage.

Quality percentile: —
Effective price: $3.58/1M
Pricing breakdown: $1.1/1M in
$4.4/1M out

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