GPT-5.6 Luna token volume jumps 10x after price cut
OpenRouter reported that token usage for GPT-5.6 Luna has increased tenfold after its price was reduced by a factor of 10. The rapid surge in adoption serves as a practical demonstration of Jevons paradox in AI infrastructure, where increased cost efficiency leads to a dramatic increase in overall consumption, driving GPT-5.6 Luna's volume past GLM 5.2 on the platform.
Slashing inference prices remains the most effective driver for massive model adoption.
- –Lower token costs immediately unlock latent demand and higher-frequency usage patterns.
- –Jevons paradox holds strong in AI: cheaper compute fuels disproportionately higher token consumption.
- –Aggressive pricing shifts competitive standings quickly on multi-model routing platforms like OpenRouter.
DISCOVERED
46d ago
2026-08-07
PUBLISHED
46d ago
2026-08-07
RELEVANCE
AUTHOR
OpenRouter