OpenAI has cut API prices for its GPT-5.6 Terra and Luna models by 20% and 80%, respectively, while also reducing the number of usage credits the models consume in ChatGPT Work and Codex, in an effort to effectively increase the amount of AI work enterprise subscribers can perform without paying more.
“Starting July 30, API pricing is $2 per million input tokens and $12 per million output tokens for Terra, and $0.20 per million input tokens and $1.20 per million output tokens for Luna,” the company wrote in a blog post.
Prior to this update, enterprise customers paid $2.50 per million input tokens and $15 per million output tokens for GPT-5.6 Terra. For Luna, pricing stood at $1 per million input tokens and $6 per million output tokens.
These lower prices and effective reduction in credit consumption, OpenAI said, are the result of improvements in serving efficiency that allow it to deliver “more intelligence per dollar” for its most advanced family of AI models.
The efficiency gains, the company added, stem from optimizations across its AI training and inference stack, including software and GPU infrastructure, with GPT-5.6 Sol helping optimize production GPU kernels used to run AI workloads and reduce inference costs without compromising model performance.
