Google's index summary for X shows that the author compared GPT-5.6 Luna Max with Sol Medium, saying that Luna used more tokens but averaged about $1.20 per session, while Sol averaged about $29. This result is useful as a community-tested lead suggesting that the cost of a single task may be far lower than that of a flagship model, but it cannot replace a complete experimental report.
When the Tabbit international app accessed this X post, it returned only X's keyboard-shortcut shell page and not the body text. The missing full text is therefore not fabricated here; the “Original article” section retains only the Google-visible index excerpt and clearly identifies its source.
GPT 5.6 Luna Max vs. Sol Medium I spent the last 2 days ... Luna is obviously much cheaper. Despite using many more toke… This is a necessary excerpt; read the original source for full context.
In the author's test sample, Luna Max's per-session cost was approximately 1/24 that of Sol Medium.
“Using more tokens” does not necessarily mean a higher total cost; the model's unit price and the path taken to complete the task matter just as much.
Without a complete task set, sample size, quality ratings, price changes after the date of the test, and raw logs, this result cannot establish that Luna Max generally offers better value for money.
GPT-5.6 Luna
