#Ai-Pricing
3 notas · última:
The AI pricing and monetization playbook
Bessemer's playbook on AI pricing: unlike SaaS, every AI query has a real compute cost, so the charge metric (tokens, workflows, or outcomes) becomes a strategic bet on what the product is worth.
Price per 1M tokens is meaningless
The post argues that per-token pricing is a poor way to compare AI models because tokenizers differ and token efficiency varies. It favors cost per completed task as the more useful metric.
tokens are getting more expensive
The post argues that cheaper models do not fix AI margins because demand shifts to the newest frontier model and agents now consume far more tokens, making flat-rate subscriptions unsustainable.
