o3 Pro
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Headline reasoning model in the o-series. Trades latency for depth on math, science and code benchmarks.
o3 Pro is a multimodal AI model from OpenAI. It costs $20.000 per million input tokens and $80.000 per million output tokens (blended $38.000/M), with a 200,000-token context window.
Profile inherited from upstream o3 ↗ — this is a hosted variant of the same open-weights model.
INPUT
$20.000/M
per million input tokens
OUTPUT
$80.000/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
Scores inherited from o3 — this is a hosted variant of the same open-weights model, so the underlying benchmark scores are identical.
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 Pro cost?
o3 Pro costs $20.000 per million input tokens and $80.000 per million output tokens, for a blended reference rate of $38.000 per million tokens.
What is o3 Pro's context window?
o3 Pro supports up to 200,000 tokens of context in a single request.
What is o3 Pro best for?
o3 Pro is well suited to Best-in-class on math & science benchmarks, Multi-step planning and Tool use.
Who makes o3 Pro?
o3 Pro is developed and served by OpenAI.