Claude Sonnet 5.5 Thinking
Claude Sonnet 5.5 with adaptive thinking for complex coding, multi-step tool use, visual analysis, and detailed planning. Supports a 1M-token context window and five reasoning effort levels, with stronger thinking available when a task needs it.
- Reasoning
- Vision
- Native PDF input
- Tool Calling
- Structured Output
Added Sep 28, 2026
Pricing
Auto routing · per 1M tokens- Input
- $2.00
- Output
- $10.00
- Cache read
- $0.10
Specifications
- Context window
- 1M
- Max output
- 128K
- Avg output (7d)
- 3.5K tokens
- Longer than 98% of models
Benchmarks
Benchmarks
Sourced from Artificial Analysis.
Intelligence Index
46.8
Agentic work
AutomationBench-AA
Workflow automation with guardrail penalties
59.4%
Better than 84% of models compared
Harvey LAB-AA
Legal agentic work criterion pass rate
92.1%
Better than 73% of models compared
AA-Briefcase
Agentic knowledge work (Elo)
1639 Elo
Better than 95% of models compared
GDPval-AA v2
Economically valuable tasks (Elo)
1551 Elo
Better than 87% of models compared
Document reasoning
GDP.pdf
Professional PDF reasoning: all-pass rate
25.2%
Better than 87% of models compared
AA-LCR v1.1
Long context reasoning with updated grading
78.0%
Better than 79% of models compared
Reasoning
HLE
Humanity's Last Exam
45.8%
Better than 93% of models compared
CritPt
Research-level physics reasoning
24.6%
Coding
Terminal-Bench v4.0
Practical coding and terminal tasks
43.9%
Better than 89% of models compared
SciCode
Python programming for scientific computing
53.7%
Better than 69% of models compared
Knowledge
AA-Omniscience Accuracy
Proportion of correctly answered questions
52.0%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
64.6%
Legacy benchmarks
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
78.0%
Better than 79% of models compared
GDPval-AA (unversioned / legacy)
Economically valuable tasks
52.5%
Last updated Oct 14, 2026
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