OpenAI's o3-mini reasoning model with reasoning effort set to high.
Context Window
200.0K
Max Output
100.0K
Avg output tokens (7d)
562 tokens
Input Price (Auto)
$1.10/1M
Output Price (Auto)
$4.40/1M
Cache Read (Auto)
$0.55/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
12.5
Agentic work
T²-Bench Telecom (legacy)
Legacy fallback · Conversational AI agents in dual-control scenarios
28.7%
Better than 36% of models compared
Reasoning
HLE
Humanity's Last Exam
7.9%
Better than 48% of models compared
Coding
Terminal-Bench Hard (legacy)
Legacy fallback · Agentic coding and terminal use
6.8%
Better than 37% of models compared
LiveCodeBench
Contamination-free coding benchmark
71.7%
Better than 82% of models compared
Math
AIME
American Invitational Mathematics Examination
77.0%
Better than 86% of models compared
Math-500
Diverse mathematical problem solving benchmark
97.3%
Better than 88% of models compared
Knowledge
MMLU-Pro
Professional and academic subject knowledge
79.1%
Better than 63% of models compared
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
74.8%
Better than 56% of models compared
Last updated Sep 13, 2026
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