Claude Opus 4.7 token bloat spikes inference costs
A real-world cost analysis by Better Stack reveals Anthropic's Claude Opus 4.7 is more expensive than competitors like GPT-5.5 due to higher token consumption. The evaluation demonstrates that competitive input pricing is offset by inefficient tokenization during equivalent tasks.
Token efficiency is becoming the hidden metric that makes or breaks AI budgets, proving per-token pricing only tells half the story.
- –Better Stack's analysis shows Opus 4.7 requires significantly more tokens for identical outputs compared to GPT-5.5
- –Higher token consumption inflates the total cost of ownership for Claude in production workflows
- –Developers must evaluate tokenization efficiency alongside raw pricing and output quality when selecting models
DISCOVERED
45d ago
2026-04-26
PUBLISHED
45d ago
2026-04-26
RELEVANCE
AUTHOR
Better Stack