o4-mini

o4-mini

o4 Mini is a smaller reasoning model optimized for fast, cost-efficient performance across math, coding, and visual tasks. OpenAI’s release notes emphasize that it can use tools while reasoning, making it useful beyond plain text answers. It should be described as a compact reasoning-and-tool model for production workloads.

Total Context

200Ktokens

Max Output

100Ktokens

Released

Apr 16, 2025

Modalities

o4-mini Price

Input PriceOutput PriceCache Read
$0.15/M$0.6/M$0.075/M

o4-mini API

POST /v1/chat/completions

o4-mini Benchmark

o4-mini (high)

25.6

/100

Artificial Analysis Intelligence Index

Artificial Analysis broad capability aggregate

Index score

25.6

/100

Artificial Analysis Coding Index

Artificial Analysis software task aggregate

Index score

90.7

/100

Artificial Analysis Math Index

Artificial Analysis math reasoning aggregate

Index score

Knowledge & Reasoning

MMLU-Pro

Advanced multi-task knowledge

83.2%

GPQA

Advanced science problem solving

78.4%

HLE

Broad expert-level exam set

17.5%

Coding & Engineering

LiveCodeBench

Live coding problems

85.9%

SciCode

Scientific coding challenges

46.5%

Terminal-Bench Hard

Hard terminal task execution

15.2%

Math

MATH-500

Advanced math problem solving

98.9%

AIME

Competition math problems

94%

AIME 2025

Competition math problems

90.7%

Instruction Following & Agent Tasks

IFBench

Prompt constraint adherence

68.7%

AA-LCR

Long-context reasoning

55.0%

τ²-Bench

Agent workflow tasks

55.6%

Metrics sourced from Artificial Analysis

Media and Discussions

Selected public videos and posts related to this model.

X (Twitter)

View post on X
View post on X
View post on X

Reddit

YouTube

Watch on YouTube
Watch on YouTube
Watch on YouTube

o4 Mini FAQ

o4 Mini: capabilities, use cases, limits, and TokenHub guidance.

What problem does o4 Mini address?+

o4 Mini is a OpenAI model for fast, cost-efficient math, coding, and visual reasoning.

When should I choose o4 Mini?+

Best for mathematical reasoning, complex coding and visual reasoning, especially when speed and cost efficiency is the priority.

What does o4 Mini do well?+

Key strength: fast, economical reasoning with particularly strong coding and visual work.

What does o4 Mini sacrifice?+

It is deprecated or superseded, so it is a poor default for new integrations. Use GPT-5.4 Mini for new integrations.

How do I use o4 Mini in TokenHub?+

Confirm availability; use the current recommended model for new integrations.