ZMIME
OpenAI · Released Jan 31, 2025

o3-mini

Smaller o-series reasoner for economical coding, math, and planning tasks.

  • Proprietary
  • Reasoning
  • Tool calling
  • Deprecated
Capability
140.3ECI · #98 of 148
Input
$1.10per 1M tokens
Output
$4.40per 1M tokens
Context
200K100K max output
Pricing

What it costs

Input
$1.10per million tokens
Output
$4.40per million tokens
Cached input
$0.55per million tokens
Blended (3:1)
$1.93pricier than 69% of priced models

Typical monthly bills

Monthly usageEstimated cost
Side project2M input + 0.5M output tokens$4.40
Team assistant25M input + 5M output tokens$49.50
Production app250M input + 50M output tokens$495.00

Official OpenAI API price, as listed on models.dev.

Capability

Independent benchmarks

140.3Epoch Capabilities Index
#98 of 148 scored models
88Median 146167

The shaded band is Epoch AI’s confidence range (137.4–141.9); the tick marks the median scored model.

  • GPQA DiamondGraduate-level science questions · high setting77.0%
  • FrontierMath Tiers 1–3Research-level mathematics · high setting18.6%
  • OTIS Mock AIME 2024–2025Competition mathematics · high setting76.9%
  • SimpleQA VerifiedShort factual questions · high setting15.3%

Scores from Epoch AI, run independently of OpenAI.

Specifications

The details

Lab
OpenAI
Released
Jan 31, 2025
Knowledge cutoff
May 2024
Context window
200,000 tokens
Max output
100,000 tokens
Inputs
Text
Output
Text
Reasoning
Adjustable effort low · medium · high
Tool calling
Yes
Structured output
Yes
Weights
Proprietary
API model ID
o3-minion OpenAI
Availability
15 API providerslisted on models.dev
Status
Deprecated by the provider

OpenAI model documentation

Lab-reported

What OpenAI claims

Published by the lab at launch. Settings vary, so compare these only with care.

BenchmarkScoreSettingSource
Aider Polyglot60.4 percent correct—Source
Same lab

More from OpenAI

Questions

About o3-mini

How much does o3-mini cost?

o3-mini costs $1.10 input / $4.40 output per million tokens (official OpenAI API price). Cached input is $0.55 per million tokens. At a 3:1 input-to-output mix that is $1.93 per million tokens, more expensive than 69% of the 360 priced models we track.

What is the context window of o3-mini?

o3-mini accepts up to 200,000 tokens per request and can write up to 100,000 tokens in one response.

How good is o3-mini?

Epoch AI gives o3-mini a Capabilities Index score of 140.3 (likely range 137.4–141.9), ranking it #98 of 148 models Epoch has scored. Epoch AI benchmark results: GPQA Diamond 77.0%, FrontierMath Tiers 1–3 18.6%, OTIS Mock AIME 2024–2025 76.9%, SimpleQA Verified 15.3%.

Is o3-mini open source?

No. o3-mini is proprietary; you use it through OpenAI’s API or partner platforms.

What inputs does o3-mini support?

o3-mini accepts text and replies in text. It is a reasoning model with low, medium and high effort settings, supports tool calling and can return structured JSON output.

When was o3-mini released?

OpenAI released o3-mini on Jan 31, 2025. Its training data runs to May 2024.

What are the best alternatives to o3-mini?

The closest current models from other labs on capability, price and release date are DeepSeek-R1 (DeepSeek, ECI 139.0, $0.70 / $2.60), Qwen3 235B-A22B (Alibaba (Qwen), ECI 139.4, $0.70 / $2.80), Claude Haiku 4.5 (Anthropic, ECI 142.4, $1.00 / $5.00) and Gemini 2.5 Flash (Google, ECI 140.8, $0.30 / $2.50).