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o3 Mini

by OpenAI

OpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the `reasoning_effort` parameter, which can be set to "high", "medium", or "low" to control the thinking time of the model. The default is "medium". The model features three adjustable reasoning effort levels and supports key developer capabilities including function calling, structured outputs, and streaming, though it does not include vision processing capabilities. The model demonstrates significant improvements over its predecessor, with expert testers preferring its responses 56% of the time and noting a 39% reduction in major errors on complex questions. With medium reasoning effort settings, o3-mini matches the performance of the larger o1 model on challenging reasoning evaluations like AIME and GPQA, while maintaining lower latency and cost.

Chat with o3 Mini
Input Price$1.10/1M tokens
Output Price$4.40/1M tokens
Intelligence25.9
Coding17.9

Specifications

Technical details and pricing.

ProviderOpenAI
Context Window200,000 tokens
Release DateJan 31, 2025
ModalitiesText, File β†’ Text

Benchmarks

9 benchmark scores from Artificial Analysis.

GPQA74.8%
MMLU Pro79.1%
HLE8.7%
LiveCodeBench71.7%
MATH 50097.3%
AIME77.0%
SciCode39.9%
Tau228.7%
TerminalBench Hard6.8%

Composite Indices

Intelligence, Coding, Math

Standard Benchmarks

Academic and industry benchmarks

Frequently Asked Questions

What is o3 Mini good for?

Use o3 Mini for everyday tasks like writing, summarizing, brainstorming, and getting clear explanations.

How much does o3 Mini cost?

Pricing is based on usage. Current rates are $1.10/1M tokens for input and $4.40/1M tokens for output.

Can I try o3 Mini for free?

Yes. You can start a chat instantly and test the model before deciding on a plan.

Does o3 Mini support images or audio?

o3 Mini focuses on text-based tasks.

Benchmarks and pricing are sourced from Artificial Analysis where available. OpenRouter specs are used as a fallback.