Claude Fable 5$22.000/MClaude Opus 5$11.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.6 Sol$12.500/MGPT-5.6 Terra$5.000/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MClaude Fable 5$22.000/MClaude Opus 5$11.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.6 Sol$12.500/MGPT-5.6 Terra$5.000/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/M
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o1-pro (batch)

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 Now superseded by o3 / o4-mini for new traffic.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 (batch) is a multimodal AI model from OpenAI. It costs $75.000 per million input tokens and $300.000 per million output tokens (blended $142.500/M), with a 200,000-token context window.

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

Released Sep 2024Modalities textOfficial model page ↗Provider pricing ↗API docs ↗Pricing source ↗Compare with another model →Estimate monthly cost →
INPUT
$75.000/M
per million input tokens
OUTPUT
$300.000/M
per million output tokens
BLENDED 70/30
$142.500/M
default reference rate · how it is calculated →
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.
GPQA Diamond78%
Graduate-level science questions, "Google-proof".
MATH94%
High-school competition math problems.
HumanEval89%
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

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in $5.000/Mout $30.000/M
GPT-5.6 Terra
Balanced · 1,050,000 ctx
in $2.000/Mout $12.000/M
GPT-5.6 Luna
Efficient · 1,050,000 ctx
in $0.200/Mout $1.200/M
GPT-5.5
Frontier · 1,050,000 ctx
in $5.000/Mout $30.000/M
GPT-5.2
Frontier · 400,000 ctx
in $1.750/Mout $14.000/M
GPT-5.2-Codex
Coding · 400,000 ctx
in $1.750/Mout $14.000/M

Frequently asked questions

How much does o1-pro (batch) cost?

o1-pro (batch) costs $75.000 per million input tokens and $300.000 per million output tokens, for a blended reference rate of $142.500 per million tokens.

What is o1-pro (batch)'s context window?

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

What is o1-pro (batch) best for?

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

Who makes o1-pro (batch)?

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

Terms used on this page

Full glossary →
TokenInput tokensOutput tokensPrice per million tokensContext windowPrompt cachingBatch APIBlended cost