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o1

by OpenAI · Released Dec 2024

Multimodal
46.9
avg score
Rank #163
Compare
Better than 48% of all models
Context
200K tokens (~100 books)
Input $/1M
$15.00
Output $/1M
$60.00
Type
multimodal
License
Proprietary
Benchmarks
22 tested
Data as of
About

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...

Tested on 22 benchmarks · BenchGecko score 46.9. Top scores: MATH level 5 (94.7%), Aider — Code Editing (84.2%), Fiction.LiveBench (83.3%).

Looking for similar performance at lower cost?
gpt-oss-120b scores 46.7 (100% as good) at $0.04/1M input · 100% cheaper
Capabilities
coding
61.4
#42 globally
reasoning
29.4
#120 globally
math
48.0
#121 globally
knowledge
45.4
#163 globally
agentic
1.1
#73 globally
general
45.0
#49 globally
Benchmark Scores
Compare All
Tested on 22 benchmarks · Ranked across 6 categories
Score Distribution (all 312 models)
0255075100
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Aider — Code Editing

Code editing benchmark from the Aider project. Measures ability to apply targeted code changes while maintaining correctness and style.

84.2·
Aider polyglot

Multi-language code editing from Aider. Tests editing ability across Python, JavaScript, TypeScript, Java, C++, Go, Rust, and more.

61.7·
CadEval

Computer-aided design evaluation. Tests understanding of CAD concepts, 3D modeling, and engineering design principles.

56.0·
ARC-AGI

Abstraction and Reasoning Corpus. Tests fluid intelligence through novel visual pattern recognition puzzles. Core measure of general intelligence.

30.7·
SimpleBench

Deceptively simple questions that humans find easy but AI models often get wrong. Tests common sense and reasoning gaps.

28.1·
MATH level 5

Competition-level math from AMC, AIME, and olympiad problems. Level 5 is the hardest tier, requiring creative problem-solving.

94.7·
OTIS Mock AIME 2024-2025

Mock AIME (American Invitational Mathematics Exam) problems from OTIS. Tests mathematical competition performance.

73.3·
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Links
Documentation
Community
BenchGecko API
o1
Specifications
  • Typemultimodal
  • Context200K tokens (~100 books)
  • ReleasedDec 2024
  • LicenseProprietary
  • StatusActive
  • Cost / Message~$0.090
Available On
OpenAI logoOpenAI$15.00
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o1 is a proprietary multimodal AI model by OpenAI, released in December 2024. It has an average benchmark score of 46.9. Context window: 200K tokens.

Key facts · as of 2026-10-05

  • o1 by OpenAI. BenchGecko score 46.9, rank 163 of 312 scored models (normalized average of public benchmark scores).
  • List price $15.00 input · $60.00 output per 1M tokens (as of 2026-10-05).
  • Sold by 1 provider (as of 2026-10-05): OpenAI $15.00 in / $60.00 out.

How to cite · data as of 2026-10-05

o1 · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-05. https://benchgecko.ai/model/o1

Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP