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 Outdated compared to the newer o3 and o4 models.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
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
15.2
Coding Index
39.7
Agentic work
T²-Bench Telecom (legacy)
Legacy fallback · Conversational AI agents in dual-control scenarios
62.6%
Better than 58% of models compared
Document reasoning
AA-LCR v1.1
Long context reasoning with updated grading
65.0%
Better than 57% of models compared
Reasoning
HLE
Humanity's Last Exam
7.0%
Better than 42% of models compared
IFBench
Instruction-following benchmark
70.3%
Better than 85% of models compared
Coding
Terminal-Bench Hard (legacy)
Legacy fallback · 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
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
74.7%
Better than 56% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
65.0%
Better than 57% of models compared
Last updated Oct 1, 2026
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