OpenAI GPT-6 "Sol" and "Luna": Half the Error Rate, Half the API Price

TVS News AI, editorially supervised, presents OpenAI GPT-6 "Sol" and "Luna": Half the Error Rate, Half the API Price.

OpenAI is apparently preparing the next generational leap: the upcoming models are set to launch under the name GPT-6 in two variants – Sol and Luna. What initially sounds like stellar mythology is, in the sober logic of AI APIs, primarily a sales wrapper for a dual promise.

Because anyone building AI APIs into apps, backends, or automations today pays twice: per token and per hallucination. Every incorrectly invented name, every made-up source, every fabricated timestamp is rework, a correction loop, or a loss of trust with the end user. If OpenAI delivers on what it's announcing, that changes the calculation.

According to Golem, OpenAI wants to halve two metrics with GPT-6 "Sol" and "Luna": the error rate compared to previous versions and the API prices. This addresses the two brakes that most slow down productive use of large language models today – simultaneously.

What is known so far about "Sol" and "Luna"

Nothing concrete can be gleaned from the available source about the division of the two variants. Whether they differ in size, specialized profiles, or separate availability remains open. Release date, context window, multimodality, or training state are also not quantified in the report.

So far, only the comparison is certain: the new GPT-6 models are to deliver half the values compared to their predecessors – in both error rate and API price.

What this could mean for developers and businesses

Anyone currently counting every token-hour and regularly double-checking output gets a strong cost-effectiveness argument with this announcement: twice as cheap per call, half the rework – combined, that would be a quarter of the previous effective cost per usable response. This calculation likely explains why "Sol" and "Luna" are being positioned so early.

Until independent tests confirm the promises, however, the announcement remains exactly that: a promise from OpenAI, with no independent evidence to date.