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o3

by OpenAI · Released Apr 2025

Multimodal
55.1
avg score
Rank #118
Compare
Better than 62% of all models
Context
200K tokens (~100 books)
Input $/1M
$2.00
Output $/1M
$8.00
Type
multimodal
License
Proprietary
Benchmarks
50 tested
Data as of
About

o3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual reasoning tasks. It also excels at technical writing and instruction-following....

Tested on 50 benchmarks · BenchGecko score 55.1. Top scores: MATH level 5 (97.8%), Fiction.LiveBench (88.9%), HELM — IFEval (86.9%).

Looking for similar performance at lower cost?
Qwen3 235B A22B Thinking 2507 scores 55.3 (100% as good) at $0.23/1M input · 89% cheaper
Capabilities
coding
56.2
#63 globally
reasoning
49.3
#80 globally
math
51.5
#115 globally
knowledge
55.0
#91 globally
agentic
20.1
#46 globally
speed
48.4
#35 globally
language
86.9
#29 globally
general
42.9
#58 globally
Benchmark Scores
Compare All
Tested on 50 benchmarks · Ranked across 8 categories
Score Distribution (all 312 models)
0255075100
▲ You are here
Aider polyglot

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

81.3·
CadEval

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

74.0·
SWE-Bench verified

Real-world software engineering tasks from GitHub issues. Models must diagnose bugs and write patches that pass test suites. Human-verified subset of SWE-bench.

62.3·
HELM — WildBench

Stanford HELM WildBench evaluation. Tests reasoning on challenging real-world tasks.

86.1·
ARC-AGI

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

60.8·
SimpleBench

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

43.7·
MATH level 5

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

97.8·
OTIS Mock AIME 2024-2025

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

84.4·
HELM — Omni-MATH

Stanford HELM evaluation of mathematical reasoning across diverse problem types.

71.4·
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Links
Documentation
Community
BenchGecko API
o3
Specifications
  • Typemultimodal
  • Context200K tokens (~100 books)
  • ReleasedApr 2025
  • LicenseProprietary
  • StatusActive
  • Cost / Message~$0.012
Available On
OpenAI logoOpenAI$2.00
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o3 is a proprietary multimodal AI model by OpenAI, released in April 2025. It has an average benchmark score of 55.1. Context window: 200K tokens.

Key facts · as of 2026-10-05

  • o3 by OpenAI. BenchGecko score 55.1, rank 118 of 312 scored models (normalized average of public benchmark scores).
  • List price $2.00 input · $8.00 output per 1M tokens (as of 2026-10-05).
  • Sold by 1 provider (as of 2026-10-05): OpenAI $2.00 in / $8.00 out.

How to cite · data as of 2026-10-05

o3 · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-05. https://benchgecko.ai/model/o3

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