o1-mini
Reasoning
Cheap reasoning model from the o1 generation. Deprecated, o3-mini and o4-mini are the modern equivalents.
o1-mini is a reasoning AI model from OpenAI. It costs $3.000 per million input tokens and $12.000 per million output tokens (blended $5.700/M), with a 128,000-token context window.
INPUT
$3.000/M
per million input tokens
OUTPUT
$12.000/M
per million output tokens
CONTEXT
128,000
tokens
What it is good at
- Cheap STEM reasoning
Typical use cases
- Legacy o1-mini integrations
Benchmarks
vs. best public score
Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources, treat as directional rather than authoritative.
More from OpenAI
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GPT-5.6 Luna
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GPT-5.5
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in $5.000/Mout $30.000/M
GPT-5.2
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in $1.750/Mout $14.000/M
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in $1.750/Mout $14.000/M
Frequently asked questions
How much does o1-mini cost?
o1-mini costs $3.000 per million input tokens and $12.000 per million output tokens, for a blended reference rate of $5.700 per million tokens.
What is o1-mini's context window?
o1-mini supports up to 128,000 tokens of context in a single request.
What is o1-mini best for?
o1-mini is well suited to Cheap STEM reasoning and Legacy o1-mini integrations.
Who makes o1-mini?
o1-mini is developed and served by OpenAI. It was released in Sep 2024.