OpenAI: O4 Mini

openai/o4-mini

OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports tool use and demonstrates competitive reasoning and coding performance across benchmarks like AIME (99.5% with Python) and SWE-bench, outperforming its predecessor o3-mini and even approaching o3 in some domains. Despite its smaller size, o4-mini exhibits high accuracy in STEM tasks, visual problem solving (e.g., MathVista, MMMU), and code editing. It is especially well-suited for high-throughput scenarios where latency or cost is critical. Thanks to its efficient architecture and refined reinforcement learning training, o4-mini can chain tools, generate structured outputs, and solve multi-step tasks with minimal delay—often in under a minute.

Model specifications

Input
text
Output
text
Context
200,000 tokens
Max output
32,768 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: O4 Mini?
OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports tool use and demonstrates competitive reasoning and coding performance across benchmarks like AIME (99.5% with Python) and SWE-bench, outperforming its predecessor o3-mini and even approaching o3 in some domains. Despite its smaller size, o4-mini exhibits high accuracy in STEM tasks, visual problem solving (e.g., MathVista, MMMU), and code editing. It is especially well-suited for high-throughput scenarios where latency or cost is critical. Thanks to its efficient architecture and refined reinforcement learning training, o4-mini can chain tools, generate structured outputs, and solve multi-step tasks with minimal delay—often in under a minute.
How much does OpenAI: O4 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: O4 Mini?
OpenAI: O4 Mini supports a 200,000 token context window and up to 32,768 output tokens.
What capabilities does OpenAI: O4 Mini support?
OpenAI: O4 Mini supports Streaming, Function calling, JSON mode, Playground.
Which providers offer OpenAI: O4 Mini?
OpenAI: O4 Mini is available from Azure.
How do providers handle data privacy for OpenAI: O4 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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