o3-mini
Reasoning
Cheaper reasoning model in the o3 generation. Strong on STEM, lower latency than full o3.
o3-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
CONTEXT
200,000
tokens
What it is good at
- Cheap reasoning
- STEM-tuned
- Lower latency than o3
Typical use cases
- Reasoning at scale
- STEM tutoring
- Cost-sensitive code review
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.
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Frequently asked questions
How much does o3-mini cost?
o3-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 o3-mini's context window?
o3-mini supports up to 200,000 tokens of context in a single request.
What is o3-mini best for?
o3-mini is well suited to Cheap reasoning, STEM-tuned and Lower latency than o3.
Who makes o3-mini?
o3-mini is developed and served by OpenAI. It was released in Jan 2025.