OpenAI slashed GPT-5.6 Luna price 80% and Terra 20%, effective July 30, to match workload to model cost. CEO Altman says firms are 'thinking about spend and value.'
OpenAI cut the price of GPT-5.6 Luna by 80% and GPT-5.6 Terra by 20%, effective Thursday, July 30. The company also boosted the speed of GPT-5.6 Sol in its API without changing its price.
The changes aim to improve performance per dollar across enterprise workloads, OpenAI said in a blog post. Users can now select the model that fits a given task's stakes, cost of error, urgency, and scale.
"The GPT-5.6 family expands the range of those choices," OpenAI wrote. "Businesses can apply the maximum useful intelligence at every stage while paying the right price for the value it creates."
OpenAI described Luna as its fastest and cheapest model. Terra is the balanced option for everyday work; Sol remains the frontier model.
"We are building an infrastructure portfolio and matching each workload to the systems best suited to run it," the company said. "At the lower-cost end, the new Luna and Terra prices make high-volume work economical at much greater scale."
The model family launched July 9 after a brief delay at the request of the U.S. government. OpenAI had previewed the models' capabilities in June as part of ongoing government engagement.
On the launch day, CEO Sam Altman told CNBC that GPT-5.6 Sol was 54% more token efficient on agentic coding jobs and "as good or better" than competing models.
"Every enterprise now is thinking about spend and the value they're getting in exchange for AI, and this is what we really want to do," Altman said.
A PYMNTS Intelligence report found that when choosing to fund AI projects over the next 12 months, a majority of firms filter the technology through their own definition of value. Among cybersecurity firms, 60% seek near-term financial results. The same is true for 65% of SaaS companies and 65% of payments firms.
Drafted by a large language model from the source reporting linked above, then screened by automated publishing checks. It is not read by a journalist before publication. Some articles cite our Alpha Score. Verify prices and figures against the original source. Educational coverage, not personalized advice.