Verified65% confidenceFactExact time
Completing a complex task in an agent application often requires multiple rounds of reasoning and invocation, with each step generating token consumption
3
Sources
65%
Confidence
Long-term
Relevance
7/7/2026
First Seen
Sources
Claude Sonnet 5发布：最强Agent能力的中端AI模型
twitterclaudeai6/30/2026
Related Claims
UnverifiedIn a typical Agent session loop, a single Agent handles almost all tasks including task ingestion, planning, exploration, and context compression.80% similarVerifiedAsynchronous tool calls are critical for running multi-step Agent workflows and can improve the execution efficiency of long-chain tasks.78% similarUnverifiedIn an Agent, all task decomposition and decision-making are accomplished by calling a large model.77% similarUnverifiedIn the agent loop, a large share of token consumption comes from the agent repeatedly making small judgments (such as safety gates, format checks, and whether to hand off to a human), rather than from executing the task itself.77% similar
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