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The variable that now governs enterprise AI deployment decisions is inference cost per output token, not benchmark rank.
Benchmarks surface in the sales pitch, but token pricing is the number that shows up in quarterly cloud bills and determines whether a deployment expands or gets paused at renewal.
Anthropic is positioning Claude Opus 5 to win on both counts: the company says this model is its highest-performing release and its most cost-effective offering in the lineup.
The cost pressure that arrived at enterprise AI desks Businesses running AI at production scale treat cost-per-query as a hard constraint, not an aspirational target.
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