OpenAI: o4 Mini High

Public pricingIntelligence 80/100Large memoryVisionRéflexion approfondieOutils

OpenAI: o4 Mini High est un modèle multimodal conçu pour raisonnement et analyse multimodaux. Il associe la gestion multimodale des entrées et un raisonnement et une planification poussés, un contexte de 200K tokens et un profil à coût équilibré pour un travail fiable sur raisonnement et analyse multimodaux.

Input

$1.10/1M

Output

$4.40/1M

Cached

$0.28/1M

Batch

$0.55/1M

Calculate your o4 Mini High bill.

Set your workload — see cost at your exact volume.

What would o4 Mini High cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

o4 Mini High 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

Apr 2025

Training cutoff

Jun 2024

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • gpqa_diamond

    81.4

  • mmlu

    83.2

  • swe_bench_verified

    68.1

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 High

  • 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 High — 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 High costs roughly $259 per month. Input is $1.10 /1M tokens and output is $4.40 /1M tokens.
o4 Mini High 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 High supports understanding images, deep step-by-step reasoning, calling functions / tools, strict JSON output. It streams replies by default.
o4 Mini High was released in April 2025, with training data cut off around June 2024.
Models in a similar class include o3 Mini, o3 Mini High, o4 Mini. The "Similar models" section below this FAQ links into each.

Still unsure?

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