OpenAI
OpenAI
Reasoning

o4-mini

Reasoning

Lower-cost reasoning model. Strong on math and code at a fraction of the o3 price.

o4-mini is a reasoning AI model from OpenAI. It costs $1.100 per million input tokens and $4.400 per million output tokens (blended $2.090/M), with a 200,000-token context window.

INPUT
$1.100/M
per million input tokens
OUTPUT
$4.400/M
per million output tokens
BLENDED 70/30
$2.090/M
unchanged since 3 May
CONTEXT
200,000
tokens
What it is good at
  • Cheap reasoning
  • Fast for an o-series
  • Good math/code
Typical use cases
  • Reasoning at scale
  • Cost-sensitive STEM tutoring

Benchmarks

vs. best public score
MMLU85%
Multitask academic knowledge across 57 subjects.
Graduate-level science questions, "Google-proof".
MATH94%
High-school competition math problems.
Python function synthesis from docstrings.
Real GitHub issues solved end-to-end.
LMArena Elo1340 Elo
Crowd-sourced head-to-head preference Elo rating.
Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources, treat as directional rather than authoritative.

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Frequently asked questions

How much does o4-mini cost?

o4-mini costs $1.100 per million input tokens and $4.400 per million output tokens, for a blended reference rate of $2.090 per million tokens.

What is o4-mini's context window?

o4-mini supports up to 200,000 tokens of context in a single request.

What is o4-mini best for?

o4-mini is well suited to Cheap reasoning, Fast for an o-series and Good math/code.

Who makes o4-mini?

o4-mini is developed and served by OpenAI.

Compared with

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