"For Opus and Sonnet AI models Claude Code provides the effort parameter that allows you to tune Claude's intelligence vs. token spend. By setting this parameter, you're trading off capability for faster speed and lower costs. For example, if you're using Claude Code for prototyping, you can start with Opus 4.7 with the xhigh effort level for planning and initial design, then switch to Sonnet 4.6 with the high effort for design refinement and validation."
"Opus 4.7 features a few levels of effort, from Low to Max. Calibrate model thinking depth When it comes to thinking level, unlike effort, there is no setting in the Claude Code app that allows you to..."
Claude AI model techniques apply across Opus 4.7, Sonnet 4.6, and Haiku 4.5. Before writing prompts, two calibration steps are needed. First, calibrate model effort using the Claude Code effort parameter, which trades off capability for faster speed and lower token spend. Opus 4.7 offers effort levels from Low to Max, and a workflow can start with Opus 4.7 at xhigh effort for planning and initial design, then move to Sonnet 4.6 at high effort for refinement and validation. Second, calibrate model thinking depth, noting that unlike effort, there is no Claude Code app setting for thinking depth.
Read at Medium
Unable to calculate read time
Collection
[
|
...
]