OpenAI
OpenAI
MultimodalLIVE PRICING

o1-pro

text+image+file->text

The first o-series reasoning model, proved chain-of-thought scaling worked. Now superseded by o3 / o4-mini for new traffic.

o1-pro is a multimodal AI model from OpenAI. It costs $150.000 per million input tokens and $600.000 per million output tokens (blended $285.000/M), with a 200,000-token context window.

Profile inherited from upstream o1 ↗ — this is a hosted variant of the same open-weights model.

INPUT
$150.000/M
per million input tokens
OUTPUT
$600.000/M
per million output tokens
BLENDED 70/30
$285.000/M
unchanged since 3 May
CONTEXT
200,000
tokens
What it is good at
  • Strong math & code
  • Multi-step reasoning
Typical use cases
  • Legacy o1 reasoning pipelines
  • Migration to o3

Benchmarks

vs. best public score
Scores inherited from o1 — this is a hosted variant of the same open-weights model, so the underlying benchmark scores are identical.
MMLU91%
Multitask academic knowledge across 57 subjects.
Graduate-level science questions, "Google-proof".
MATH94%
High-school competition math problems.
Python function synthesis from docstrings.
LMArena Elo1355 Elo
Crowd-sourced head-to-head preference Elo rating.
Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources, treat as directional rather than authoritative.

More from OpenAI

See all 28 →

Frequently asked questions

How much does o1-pro cost?

o1-pro costs $150.000 per million input tokens and $600.000 per million output tokens, for a blended reference rate of $285.000 per million tokens.

What is o1-pro's context window?

o1-pro supports up to 200,000 tokens of context in a single request.

What is o1-pro best for?

o1-pro is well suited to Strong math & code, Multi-step reasoning and Legacy o1 reasoning pipelines.

Who makes o1-pro?

o1-pro is developed and served by OpenAI. It was released in Sep 2024.

Terms used on this page