OpenAI: o1

OpenAI: o1

openai · Released Dec 17, 2024 Professional
Intelligence #14 / 590
82.0 Our Score
Speed #101 / 278
126.4 tokens / sec
Input #576 / 590
$15.00 per 1M tokens
Output #576 / 590
$60.00 per 1M tokens
Context #207 / 590
200,000 tokens

Analysis Summary

OpenAI o1 is a reasoning-focused model from OpenAI, with an intelligence index of 23.4 and a coding index of 39.7 that place it well above the mid tier. Its livecodebench score of 0.679 is strong, and the combination of vision, tool use, function calling, and a 200K context window makes it one of the more capable all-round models from its generation.

For businesses, it suits complex reasoning tasks, multi-step agentic workflows, long-document analysis, and software engineering where answer quality justifies the cost. Instruction following is strong, with an ifbench score of 0.703, and long-context reasoning is above average at 0.593.

The main constraint is pricing: at $15 input / $60 output, it is expensive for routine or high-volume use. It is best deployed selectively for tasks where depth of reasoning delivers clear business value, paired with cheaper models for standard workloads.

Assessed June 30, 2026

Editorial notes

OpenAI o1 delivers strong reasoning, a 0.679 livecodebench score, vision, tool use, and a 200K context window, though its $15/$60 pricing limits it to high-value workloads.

Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?

Performance Profile

Intelligence4Technical5.6Value5Content7.4
Intelligence 4/10
Technical 5.6/10
Content 7.4/10
Value 5/10

How OpenAI: o1 compares

OpenAI: o1 ranks #120 of 385 AI models we track for overall intelligence, #46 of 129 for coding, #123 of 293 for agentic tasks. Its 200K-token context window is larger than 65% of the models we list. At $15.00 per million input tokens it is cheaper than 2% of comparable models.

About OpenAI: o1

The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason..

Capabilities

Tool Use Function Calling Vision

Performance Indices

Source: Artificial Analysis

23.4 Intelligence Index
39.7 Coding Index
37.7 Agentic Index

Benchmark Scores

Intelligence

GPQA Diamond 74.7% Graduate-level scientific reasoning
HLE 7.7% Humanity's Last Exam
MMLU Pro 84.1% Multi-task language understanding
MATH 500 97% Mathematical problem-solving
AIME 72.3% Competition mathematics
SciCode 35.8% Scientific computing

Technical

LiveCodeBench 67.9% Live coding evaluation
TerminalBench Hard 12.9% Agentic terminal tasks
τ²-Bench 62.6% Conversational agent benchmark

Content

IFBench 70.3% Instruction following
LCR 59.3% Long-context reasoning

Benchmark data from Artificial Analysis and Hugging Face

How does OpenAI: o1 stack up?

Compare side-by-side with other professional models.

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Model Information

OpenRouter ID openai/o1
Provideropenai
Model Familyo1
Release Date December 17, 2024
Context Length200,000 tokens
Max Completion100,000 tokens
Status Active

Pricing

Token Type Cost per 1M tokens Cost per 1K tokens
Input $15.00 $0.015000
Output $60.00 $0.060000

Leaderboard Categories

Frequently asked questions about OpenAI: o1

How much does OpenAI: o1 cost?

OpenAI: o1 costs $15.00 per million input tokens and $60.00 per million output tokens.

What is the context window of OpenAI: o1?

OpenAI: o1 has a context window of 200,000 tokens (200K).

Is OpenAI: o1 good for coding?

On our coding benchmark index, OpenAI: o1 ranks #46 of 129 models, placing it in the broader range of the field for code generation and debugging.

What can OpenAI: o1 do?

OpenAI: o1 supports image/vision input, tool use, and function calling.

Who created OpenAI: o1?

OpenAI: o1 is developed by OpenAI and was released on December 17, 2024.