OpenAI: o3 Mini

Public pricingIntelligence 78/100Large memoryVisionDeep thinkingTool use

OpenAI: o3 Mini is a multimodal model for coding, debugging, and technical work. It combines multimodal input handling and strong coding performance with a 200K tokens context window and a balanced-cost profile. Use it for coding, debugging, and technical writing when latency, cost, and throughput matters.

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?

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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?

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