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 input support.

Inputs
Text
Image
File
Outputs
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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

15.2%
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 Reasoning65.0%
τ²-Bench - Agentic Tasks62.6%
TerminalBench - System Control12.9%

Compare Models Side-by-Side

Evaluate specifications, pricing, and independent benchmark indices

Model Details
General Info
ProviderOpenAIAnthropicAnthropic
Release DateSeptember 12, 2024September 22, 2026September 28, 2026
Knowledge CutoffOct 2023-Jun 2026
Context & Limits
Context Window200K
1M
Best Context Window
1M
Best Context Window
Pricing (per 1M tokens)
Input Pricing$15$4
$2
Best Input Pricing
Output Pricing$60$20
$10
Best Output Pricing
Modalities
Inputs
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textimagefile
textimagefile
Outputs
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Benchmarks (0-100)
Intelligence Index15.2
57.6
Best Intelligence Index
56.0
Coding Index39.7--
Agentic Index---
o1
Claude Opus 5.5
Claude Sonnet 5.5

Humanity's Last Exam

Extremely difficult logical reasoning and knowledge.

7%
o1
Humanity's Last Exam
Score: 7%
o1
61%
Claude Opus 5.5
Humanity's Last Exam
Score: 61%
Claude Opus 5.5
55%
Claude Sonnet 5.5
Humanity's Last Exam
Score: 55%
Claude Sonnet 5.5

Long Context Reasoning

Logical reasoning over long context windows.

65%
o1
Long Context Reasoning
Score: 65%
o1
85%
Claude Opus 5.5
Long Context Reasoning
Score: 85%
Claude Opus 5.5
83%
Claude Sonnet 5.5
Long Context Reasoning
Score: 83%
Claude Sonnet 5.5

SciCode Benchmark

Scientific coding and mathematical modeling.

36%
o1
SciCode Benchmark
Score: 36%
o1
67%
Claude Opus 5.5
SciCode Benchmark
Score: 67%
Claude Opus 5.5
61%
Claude Sonnet 5.5
SciCode Benchmark
Score: 61%
Claude Sonnet 5.5

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

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