OpenAI: o3 Mini

Public pricingIntelligence 78/100Large memory비전심층 추론도구 활용

OpenAI: o3 Mini은 코딩, 디버깅, 기술 작업에 맞춘 멀티모달 모델입니다. 멀티모달 입력 처리、강력한 코딩 성능, 200K tokens의 컨텍스트, 균형형 비용 특성을 결합해 coding, debugging, and technical writing에서 안정적인 작업을 돕습니다. 특히 지연, 비용, 처리량가 중요한 경우에 잘 맞으며, 안정적인 출력, 유연한 배포, 확장성을 중시하는 팀에 실용적입니다. 안정적인 응답, 넓은 문맥 처리, 그리고 시제품부터 운영까지 이어지는 유연성이 필요할 때 유용합니다. 안정적인 응답, 넓은 문맥 처리, 그리고 시제품부터 운영까지 이어지는 유연성이 필요할 때 유용합니다.

Input

$1.10/1M

Output

$4.40/1M

Cached

$0.55/1M

Batch

$0.55/1M

Calculate your o3 Mini bill.

Set your workload — see cost at your exact volume.

What would o3 Mini cost you?

Adjust the workload to see your monthly bill.

1,00010,00050,000250,0001M10M

Technical specifications

o3 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

Jan 2025

Training cutoff

Oct 2023

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • mmlu

    79.1

  • gpqa_diamond

    74.8

  • livecodebench

    71.7

  • frontiermath_tier_4

    4.17

  • scipredict

    19.84

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 o3 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.

Alternatives

Similar models to compare.

FAQ

o3 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, o3 Mini costs roughly $259 per month. Input is $1.10 /1M tokens and output is $4.40 /1M tokens.
o3 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, o3 Mini supports understanding images, deep step-by-step reasoning, calling functions / tools, strict JSON output. It streams replies by default.
o3 Mini was released in January 2025, with training data cut off around October 2023.
Models in a similar class include o3 Mini High, o4 Mini, o4 Mini High. The "Similar models" section below this FAQ links into each.

Still unsure?

Compare o3 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.

Open the comparison wizard