Claude Opus 4.1 is a powerful model from Anthropic that delivers sustained performance for complex coding and other long-running tasks that require thousands of steps, expanding the capabilities of AI agents.
Context Window
200.0K
Max Output
32.0K
Avg output tokens (7d)
899 tokens
Input Price (Auto)
$15.00/1M
Output Price (Auto)
$75.00/1M
Cache Read (Auto)
$1.50/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
28.8
Reasoning
GPQA Diamond
Graduate-level scientific reasoning
80.9%
Better than 71% of models compared
HLE
Humanity's Last Exam
12.5%
Better than 64% of models compared
IFBench
Instruction-following benchmark
55.4%
Better than 67% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
71.4%
Better than 64% of models compared
AA-LCR
Long context reasoning evaluation
73.3%
Better than 87% of models compared
Coding
SciCode
Python programming for scientific computing
40.9%
Better than 74% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
34.3%
Better than 79% of models compared
LiveCodeBench
Contamination-free coding benchmark
65.4%
Better than 73% of models compared
Math
AIME 2025
American Invitational Mathematics Examination 2025
80.3%
Better than 76% of models compared
Knowledge
MMLU-Pro
Professional and academic subject knowledge
88.0%
Better than 98% of models compared
Last updated Aug 16, 2026
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