o3
Reasoning
Headline reasoning model in the o-series. Trades latency for depth on math, science and code benchmarks.
o3 is a reasoning AI model from OpenAI. It costs $10.000 per million input tokens and $40.000 per million output tokens (blended $19.000/M), with a 200,000-token context window.
INPUT
$10.000/M
per million input tokens
OUTPUT
$40.000/M
per million output tokens
CONTEXT
200,000
tokens
What it is good at
- Best-in-class on math & science benchmarks
- Multi-step planning
- Tool use
Typical use cases
- Hard math/science questions
- Complex coding
- Research assistants
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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in $1.750/Mout $14.000/M
Frequently asked questions
How much does o3 cost?
o3 costs $10.000 per million input tokens and $40.000 per million output tokens, for a blended reference rate of $19.000 per million tokens.
What is o3's context window?
o3 supports up to 200,000 tokens of context in a single request.
What is o3 best for?
o3 is well suited to Best-in-class on math & science benchmarks, Multi-step planning and Tool use.
Who makes o3?
o3 is developed and served by OpenAI.