Claude Sonnet 4.6 with extended thinking enabled for tougher coding, planning, and multi‑tool tasks. Ideal for long‑horizon agent workflows and complex problem solving.
Added Feb 17, 2026
Context Window
1.0M
Max Output
128.0K
Avg output tokens (7d)
2.2K tokens
Input Price (Auto)
$3.00/1M
Output Price (Auto)
$15.00/1M
Cache Read (Auto)
$0.30/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
48.4
Coding Index
63.0
Agentic Index
42.1
Reasoning
GPQA Diamond
Graduate-level scientific reasoning
87.5%
Better than 87% of models compared
HLE
Humanity's Last Exam
33.6%
Better than 89% of models compared
IFBench
Instruction-following benchmark
56.6%
Better than 67% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
75.7%
Better than 67% of models compared
AA-LCR
Long context reasoning evaluation
74.0%
Better than 88% of models compared
GDPval-AA
Economically valuable tasks
43.7%
CritPt
Research-level physics reasoning
3.1%
Coding
SciCode
Python programming for scientific computing
46.8%
Better than 86% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
53.0%
Better than 96% of models compared
Knowledge
AA-Omniscience Accuracy
Proportion of correctly answered questions
40.9%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
48.4%
Last updated Aug 16, 2026
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