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Understanding token budgets, context window limits, and temperature settings helps AI/coding practitioners diagnose subtle model failures — like forgotten instructions or erratic outputs — before they cause real problems in production tools.
Developers budgeting for Claude Opus 4.7 should account for up to ~40% higher costs on text workloads due to tokenizer inflation, and should test their specific content types — PDFs, images, and raw text behave very differently — using the updated token counter tool before migrating from Opus 4.6.