OpenAI: O3 Mini

openai/o3-mini

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". OpenRouter also offers the model slug openai/o3-mini-high to default the parameter to "high". 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.

Model specifications

Input
text
Output
text
Context
200,000 tokens
Max output
1 tokens
Input price
.21 / 1M tokens
Output price
$4.84 / 1M tokens
Released
2026-02-18

Capabilities

  • Streaming
  • Function calling
  • JSON mode
  • Playground

Provider pricing, discounts and data privacy

Compare effective provider prices, published discounts, regions, retention policies, training use, compliance, and privacy links by service tier.

Standard service tier

1 available provider · tier input average .21 / 1M tokens · tier output average $4.84 / 1M tokens

Azure

Tier: Standard · Region: US

Pricing
Input
.21 / 1M tokens
Output
$4.84 / 1M tokens

No provider discount is currently published.

Data privacy and compliance
Region
US
Zero data retention
Yes
Data retention
Zero retention
Used for training
No
Data collection
Moderated
No
GDPR compliant
Yes
HIPAA compliant
Yes
SOC 2 certified
Yes
BYOK supported
No

Privacy policy · Terms · Official website · Documentation · Status

Frequently asked questions

What is OpenAI: O3 Mini?
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". OpenRouter also offers the model slug openai/o3-mini-high to default the parameter to "high". 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.
How much does OpenAI: O3 Mini cost?
Input costs start at .21 / 1M tokens and output costs start at $4.84 / 1M tokens. Provider-level prices vary by service tier.
What is the context length of OpenAI: O3 Mini?
OpenAI: O3 Mini supports a 200,000 token context window and up to 1 output tokens.
What capabilities does OpenAI: O3 Mini support?
OpenAI: O3 Mini supports Streaming, Function calling, JSON mode, Playground.
Which providers offer OpenAI: O3 Mini?
OpenAI: O3 Mini is available from Azure.
How do providers handle data privacy for OpenAI: O3 Mini?
1 of 1 providers report that customer data is not used for training, and 1 offer zero-data-retention routing. Retention, compliance, and privacy-policy links are listed per provider.

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