OpenAI: Over 1 Billion Active Users, to Cut AI Costs via Full-Stack Development

OpenAI stated in a post that the value of AI infrastructure lies not in scale itself, but in delivering more powerful intelligence to more users at lower cost. The company is building a full ecosystem spanning infrastructure, models, platforms, and products, driving adoption growth via more powerful models, then using revenue, real-world feedback, and demand data to support next-generation research and infrastructure investments. OpenAI yesterday cut prices for GPT-5.6 Luna by 80%, bringing its input and output costs to $0.20 and $1.20 per million tokens respectively; GPT-5.6 Terra saw a 20% price reduction, with costs set at $2 and $12 per million tokens for input and output respectively. GPT-5.6 Sol’s Fast mode boosts processing speed by up to 2.5 times while maintaining the same intelligence level, priced at twice the cost of its standard mode. The company noted that GPT-5.6 Sol has helped optimize model production service software, reducing end-to-end service costs by 20% and boosting speculative decoding efficiency by over 15%. Currently, OpenAI’s models serve over 1 billion active users and more than 2 million enterprises. Its goal is not merely to build more computing power or larger models, but to deploy appropriate capacity based on credible demand, making useful intelligence more powerful, more affordable, and accessible to a broader user base.