OpenAI has cut prices on two of its GPT-5.6 models by up to 80%, marking a milestone where AI systems are now efficient enough to slash their own operating costs. The move responds to rising enterprise AI bills and intensifying competition from cheaper Chinese and open-source alternatives.
The price drops stem from genuine efficiency gains, not just strategy. OpenAI’s flagship Sol model autonomously rewrote its own GPU code, cutting serving costs by 20% and boosting token-generation efficiency by over 15%. These self-optimizations allowed OpenAI to pass savings directly to users without sacrificing performance.
GPT-5.6 Luna now costs just $0.20 per million input tokens and $1.20 for output — an 80% drop. The mid-tier Terra model is 20% cheaper at $2 input and $12 output per million tokens. Sol’s pricing stays at $5/$30, but a new “Fast mode” offers 2.5x speed at double the cost for premium needs.
Sam Altman says OpenAI aims to “offer the best price/intelligence tradeoff at every level,” acknowledging that cost is now the decisive factor as AI capabilities converge. With intelligence at bargain prices, enterprises can now deploy powerful AI workflows at scale — ushering in a new era of affordable, self-optimizing intelligence.
AI NOW REWRITES ITS OWN RULES TO DELIVER MAXIMUM POWER AT MINIMUM COST.
Sanjay Sahay
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