Anthropic's newest Sonnet model, built for stronger coding, agentic workflows, long-context reasoning, computer use, and practical knowledge work.
Added Jun 30, 2026
Context Window
1.0M
Max Output
128.0K
Input Price (Auto)
$2.00/1M
Output Price (Auto)
$10.00/1M
Cache Read (Auto)
$0.20/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
38.4
Coding Index
71.5
Agentic Index
44.3
Agentic work
AutomationBench-AA
Workflow automation with guardrail penalties
36.5%
Better than 62% of models compared
Harvey LAB-AA
Legal agentic work criterion pass rate
90.1%
Better than 67% of models compared
AA-Briefcase
Agentic knowledge work (Elo)
1355 Elo
Better than 79% of models compared
GDPval-AA v2
Economically valuable tasks (Elo)
1501 Elo
Better than 86% of models compared
Document reasoning
GDP.pdf
Professional PDF reasoning: all-pass rate
13.2%
Better than 60% of models compared
AA-LCR v1.1
Long context reasoning with updated grading
82.0%
Better than 94% of models compared
MLCR-AA
Medical long-context reasoning
55.0%
Better than 92% of models compared
Reasoning
HLE
Humanity's Last Exam
41.3%
Better than 92% of models compared
CritPt
Research-level physics reasoning
16.9%
Coding
Terminal-Bench v4.0
Practical coding and terminal tasks
14.1%
Better than 77% of models compared
SciCode
Python programming for scientific computing
54.3%
Better than 78% of models compared
Knowledge
AA-Omniscience Accuracy
Proportion of correctly answered questions
40.1%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
39.4%
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
91.1%
Better than 91% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
82.0%
Better than 94% of models compared
GDPval-AA (unversioned / legacy)
Economically valuable tasks
50.0%
Last updated Sep 19, 2026
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