OpenAI: o4 Mini

Public pricingIntelligence 80/100Large memory視覚深い思考ツール利用

OpenAI: o4 Mini は マルチモーダル モデルで、推論、計画、自動化 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、reasoning, planning, and multi-step automation 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。 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

$1.10/1M

Output

$4.40/1M

Cached

$0.28/1M

Batch

$0.55/1M

Calculate your o4 Mini bill.

Set your workload — see cost at your exact volume.

What would o4 Mini cost you?

Adjust the workload to see your monthly bill.

1,00010,00050,000250,0001M10M

Technical specifications

o4 Mini 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.

  • aime_2024

    92.7
  • frontiermath_tier_4

    2.08
  • gpqa_diamond

    78.4
  • humanitys_last_exam

    18.08
  • mmlu

    83.2
  • scipredict

    16.21
  • 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

  • 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.

FAQ

o4 Mini — 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 costs roughly $259 per month. Input is $1.10 /1M tokens and output is $4.40 /1M tokens.
o4 Mini 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 supports understanding images, deep step-by-step reasoning, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
o4 Mini 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 High. The "Similar models" section below this FAQ links into each.

Still unsure?

Compare o4 Mini against 100+ other models.

Open the full wizard — pick a use case, set your usage, and see side-by-side monthly costs in under a minute.