OpenAI o3 is a reasoning model for complex analytical, coding, mathematical, and scientific tasks.
Added Apr 16, 2025
Context Window
200.0K
Max Output
100.0K
Input Price (Auto)
$2.00/1M
Output Price (Auto)
$8.00/1M
Cache Read (Auto)
$1.00/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
20.2
Agentic work
T²-Bench Telecom (legacy)
Legacy fallback · Conversational AI agents in dual-control scenarios
80.7%
Better than 71% of models compared
Document reasoning
AA-LCR v1.1
Long context reasoning with updated grading
74.7%
Better than 77% of models compared
Reasoning
HLE
Humanity's Last Exam
20.1%
Better than 72% of models compared
IFBench
Instruction-following benchmark
71.4%
Better than 87% of models compared
CritPt
Research-level physics reasoning
1.1%
Coding
Terminal-Bench Hard (legacy)
Legacy fallback · Agentic coding and terminal use
37.1%
Better than 84% of models compared
LiveCodeBench
Contamination-free coding benchmark
80.8%
Better than 92% of models compared
Math
AIME 2025
American Invitational Mathematics Examination 2025
88.3%
Better than 87% of models compared
AIME
American Invitational Mathematics Examination
90.3%
Better than 96% of models compared
Math-500
Diverse mathematical problem solving benchmark
99.2%
Better than 99% of models compared
Knowledge
MMLU-Pro
Professional and academic subject knowledge
85.3%
Better than 92% of models compared
AA-Omniscience Accuracy
Proportion of correctly answered questions
38.6%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
88.1%
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
82.7%
Better than 71% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
74.7%
Better than 77% of models compared
Last updated Sep 13, 2026
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