Frontier‑level coding and agentic performance. Claude Sonnet 4.5 leads on real‑world coding tasks and shows substantial gains in computer use, reasoning, and math. Designed for long‑horizon, multi‑step work across IDE + terminal workflows, large codebases, and complex agents — a drop‑in upgrade over previous Sonnet versions.
Added Sep 29, 2025
Context Window
1.0M
Max Output
64.0K
Avg output tokens (7d)
507 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
19.3
Agentic work
T²-Bench Telecom (legacy)
Legacy fallback · Conversational AI agents in dual-control scenarios
70.5%
Better than 63% of models compared
Document reasoning
AA-LCR v1.1
Long context reasoning with updated grading
54.0%
Better than 50% of models compared
Reasoning
HLE
Humanity's Last Exam
7.2%
Better than 45% of models compared
IFBench
Instruction-following benchmark
42.7%
Better than 45% of models compared
Coding
Terminal-Bench Hard (legacy)
Legacy fallback · Agentic coding and terminal use
28.8%
Better than 71% of models compared
LiveCodeBench
Contamination-free coding benchmark
59.0%
Better than 65% of models compared
Math
AIME 2025
American Invitational Mathematics Examination 2025
37.0%
Better than 38% of models compared
Knowledge
MMLU-Pro
Professional and academic subject knowledge
86.0%
Better than 94% of models compared
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
72.7%
Better than 52% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
54.0%
Better than 50% of models compared
Last updated Sep 11, 2026
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