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OpenAI
Released September 12, 2024Cutoff October 2023

o1

OpenAI o1: the first o-series model trained with RL for internal chain-of-thought reasoning. Features a 200K context window and image support.

Visit OpenAIAnnouncement
Inputs
Text
Image
File
Outputs
Text

Model Overview

Capabilities, design details, and architectural traits

o1 - The First Full Public o-Series Model with an Internal COT

o1 is the foundational full-scale model in OpenAI's o-series. It is trained with reinforcement learning to produce a long internal chain of thought before generating a response. This pre-answer reasoning step is the defining mechanism of the o-series line and was first delivered at full scale through o1.

TraitDetail
Internal chain of thoughtModels think before answering, generating a private reasoning sequence; this reasoning is tracked as reasoning tokens separate from visible output tokens
Training methodTrained with reinforcement learning to perform complex reasoning - not standard supervised fine-tuning
Fine-tuningNot supported
Predicted outputsNot supported

How o1 Differs from the o-Series That Followed

o1 established the o-series pattern: RL-trained chain-of-thought reasoning before each answer, slowest speed tier, no fine-tuning support, and no predicted outputs. Later models in the series (o3, o3-pro) carry forward this pattern with additional capabilities such as image integration into the reasoning chain and RL-trained tool use. o1 does not include those extensions.

Benchmark Performance

Independent evaluations · Artificial Analysis

23.9%
Intelligence
39.7%
Coding Index

Accuracy & Capability Details

GPQA - Graduate Science74.7%
Humanity's Last Exam7.0%
SciCode - Scientific Coding35.8%
Instruction Following70.3%
Long Context Reasoning63.3%
τ²-Bench - Agentic Tasks62.6%
TerminalBench - System Control12.9%
Specs
Context window
200Ktokens
Input pricing
$15per 1M tokens
Output pricing
$60per 1M tokens
Cached input
$7.50per 1M tokens

Prices in USD.

Key Capabilities & Ratings

Legal & E-Discovery90%
Financial Analysis90%
Translation & Lang90%
Medical Reasoning90%
Advanced Math70%

Compare Models Side-by-Side

Evaluate specifications, pricing, and independent benchmark indices

Model Details
General Info
ProviderOpenAIAnthropicAnthropic
Release DateSeptember 12, 2024July 24, 2026June 9, 2026
Knowledge CutoffOct 2023May 2026-
Context & Limits
Context Window200K
1M
Best Context Window
1M
Best Context Window
Pricing (per 1M tokens)
Input Pricing$15
$5
Best Input Pricing
$10
Output Pricing$60
$25
Best Output Pricing
$50
Modalities
Inputs
textimagefile
textimage
textimagefile
Outputs
text
text
text
Benchmarks (0-100)
Intelligence Index23.9
63.1
Best Intelligence Index
62.1
Coding Index39.7
78.0
Best Coding Index
76.5
Agentic Index-
59.2
Best Agentic Index
56.6
o1
Claude Opus 5
Claude Fable 5

GPQA Benchmark

Graduate-level reasoning and expert Q&A evaluation.

75%
o1
GPQA Benchmark
Score: 75%
o1
93%
Claude Opus 5
GPQA Benchmark
Score: 93%
Claude Opus 5
93%
Claude Fable 5
GPQA Benchmark
Score: 93%
Claude Fable 5

Humanity's Last Exam

Extremely difficult logical reasoning and knowledge.

7%
o1
Humanity's Last Exam
Score: 7%
o1
55%
Claude Opus 5
Humanity's Last Exam
Score: 55%
Claude Opus 5
56%
Claude Fable 5
Humanity's Last Exam
Score: 56%
Claude Fable 5

Long Context Reasoning

Logical reasoning over long context windows.

63%
o1
Long Context Reasoning
Score: 63%
o1
76%
Claude Opus 5
Long Context Reasoning
Score: 76%
Claude Opus 5
77%
Claude Fable 5
Long Context Reasoning
Score: 77%
Claude Fable 5

Independent evaluation data provided by Artificial Analysis. To view the latest benchmarks and full details, visit their official site.

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