Claude Opus 4.7 vs Claude Sonnet 4.5

For most coding workloads, no - the 1.5% performance gain (66/100 vs 65/100) rarely justifies paying $25/M output tokens versus $15/M. However, Opus 4.7's 128K max output tokens (2x Sonnet's 64K) makes it essential for generating large codebases or extensive documentation in single passes, where the alternative would be multiple costly re-prompts.

The $2/M input and $10/M output pricing delta suggests Anthropic is segmenting by budget sensitivity rather than capability - both share identical feature sets and 1M context windows. This 40% input cost savings on Sonnet 4.5 makes it ideal for high-volume code analysis tasks where the 1-point score difference is negligible, while Opus serves users who need maximum output length regardless of cost.

Migration only makes sense if you're consistently hitting Sonnet's 64K output limit - the identical capabilities and marginal score improvement don't justify the 67% output cost increase otherwise. Both models rank in the top 3% of coding models, making the practical performance difference imperceptible for most debugging, refactoring, and generation tasks.

Sonnet 4.5's file modality advantage (text+image+file vs Opus's text+image only) enables direct processing of zip archives, PDFs, and binary formats at $3/M input - 60% cheaper than Opus. This makes Sonnet superior for analyzing codebases with mixed media documentation or processing build artifacts, offsetting the 1-point score deficit in practical enterprise scenarios.