Useful when tackling complex problems in science, coding, math, and similar fields. Outdated compared to the newer o3 and o4 models.
Context Window
200.0K
Max Output
100.0K
Avg output tokens (7d)
331 tokens
Input Price (Auto)
$15.00/1M
Output Price (Auto)
$60.00/1M
Cache Read (Auto)
$7.50/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
17.1
Coding Index
39.7
Reasoning
GPQA Diamond
Graduate-level scientific reasoning
74.7%
Better than 56% of models compared
HLE
Humanity's Last Exam
7.0%
Better than 45% of models compared
IFBench
Instruction-following benchmark
70.3%
Better than 85% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
62.6%
Better than 58% of models compared
AA-LCR
Long context reasoning evaluation
65.0%
Better than 60% of models compared
Coding
Terminal-Bench Hard
Agentic coding and terminal use
12.9%
Better than 49% of models compared
LiveCodeBench
Contamination-free coding benchmark
67.9%
Better than 76% of models compared
Math
AIME
American Invitational Mathematics Examination
72.3%
Better than 82% of models compared
Math-500
Diverse mathematical problem solving benchmark
97.0%
Better than 87% of models compared
Knowledge
MMLU-Pro
Professional and academic subject knowledge
84.1%
Better than 87% of models compared
Last updated Sep 7, 2026
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