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o4 Mini High

o4-mini-high

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... Built by OpenAI.

Prices updated

Input price

$1.10

per 1M tokens · Standard

Output price

$4.40

per 1M tokens · Standard

Input limit

200K

tokens

Output limit

100K

tokens

Input formats

TextImageVideoAudioPDF

Output formats

TextImageVideoAudioPDF
Compare

o4 Mini High price history

2 price records since 9/25/2026

o4 Mini High cost calculator

Input20M tokens
Output5M tokens

$44/month

Standard pricing

    Overview

    What is o4 Mini High?

    o4 Mini High is a text & reasoning and vision model from OpenAI. 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... Its 200K context window and $1.10 input price make it a candidate for quality-focused production applications.

    Image understandingDocument analysisContent workflowsClassification

    Rates

    o4 Mini High pricing

    Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.

    Input · Standard

    $1.10

    Per 1M tokens

    Cached input · Standard

    $0.28

    Per 1M tokens

    Capabilities

    o4 Mini High Tools

    Tools available when using o4 Mini High through supported provider APIs.

    Function calling

    Supported

    Structured outputs

    Supported

    JSON mode

    Supported

    Reasoning

    Supported

    Built-in web search

    Not supported

    Log probabilities

    Not supported

    Deterministic seed

    Supported

    Parallel tool calls

    Not supported

    Prompt caching

    Supported

    Strengths and limitations

    Strengths

    • Priced at $1.10 input and $4.40 output per million tokens.
    • 200K context supports large documents, repositories and extended conversations.
    • Supports text & reasoning and vision workloads in one model.

    Limitations

    • Generated tokens cost 4× more than input tokens, which matters for verbose responses.
    • Large context capacity does not guarantee consistent retrieval across the entire prompt.
    • Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.

    Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.

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    Frequently asked questions about o4 Mini High

    o4 Mini High is a text & reasoning and vision model from OpenAI. 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...