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o3-pro pricing

The o-series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. o3-pro from OpenAI costs $20.00 per 1M input tokens and $80.00 per 1M output tokens. Context window 200,000 tokens.

API id o3-pro · OpenAI · source · updated 2026-09-25 · general-purpose

$20.00
Input / 1M tokens
$80.00
Output / 1M tokens
—
Cached input / 1M
200K
Context window

o3-pro specifications

Provider
OpenAI
API id
o3-pro
Model type
general-purpose
Context window
200K tokens
Max output
100K tokens
Currency
USD
Price source
First-party
Last checked
2026-09-25

Tags

  • flagship
  • reasoning

o3-pro across providers

The same model, priced by every seller we track. Ranked by the cost of 1M input + 1M output tokens, standard tier; savings measured against buying from the vendor directly.

ProviderInput /1MCached /1MOutput /1M1M in + 1M outvs vendor
OpenAIVendorCheapestviewing
$20.00—$80.00$100.00—
$20.00—$80.00$100.00—

What o3-pro costs in practice

Estimated cost at common usage volumes
WorkloadInput tokensOutput tokensEstimated cost
Short chat turn1,000500$0.06
Document summary50,0002,000$1.16
1M tokens in, 200K out1,000,000200,000$36.00

Estimates use the standard tier and ignore caching discounts, so real bills with repeated prompt prefixes are typically lower.

Common questions

How much does o3-pro cost per 1M tokens?
o3-pro costs $20.00 per 1M input tokens and $80.00 per 1M output tokens on the standard tier.
What is o3-pro's context window?
o3-pro accepts up to 200,000 tokens in a single request, and can return up to 100,000 output tokens.
Is there a cheaper OpenAI model than o3-pro?
Yes. omni-moderation-latest is free per 1M input tokens versus $20.00 for o3-pro.
Where does this o3-pro price come from?
Directly from OpenAI's published pricing page, re-read every day and normalized to USD per 1,000,000 tokens.

Head-to-head comparisons

Other OpenAI models

See all OpenAI pricing →