OpenAIMultimodalLIVE INDEX

o1 (batch)

Name: o1 (batch)
Brand: OpenAI
Price: 7.500000 USD

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 Now superseded by o3 / o4-mini for new traffic.

o1 (batch) is a multimodal AI model from OpenAI. It costs $7.500 per million input tokens and $30.000 per million output tokens (blended $14.250/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

$7.500/M

per million input tokens

OUTPUT

$30.000/M

per million output tokens

BLENDED 70/30

$14.250/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.