The pitch for OpenAI GPT-5.6 isn’t “smarter.” It’s “same intelligence, cheaper and faster.” That’s a tell about where the frontier fight moved.
GPT-5.6 is a family of three text models, all served through the OpenAI API. Sol is the flagship ($5 in / $30 out per 1M tokens), Terra is the value tier ($2.50 / $15), and Luna is the cheap-and-fast option ($1 / $6). Terra matches last gen’s GPT-5.5 on benchmarks at half the cost. Luna runs 80% cheaper than Sol. Sol itself hits state-of-the-art on coding, cybersecurity, and science while burning fewer tokens to get there.
Why the price cut is the news
Grok 4.5 and Claude Opus 5 both showed up doing “half price, same quality.” GPT-5.6 is OpenAI answering that directly — token economics, not another benchmark bump. The HN thread pulled 419 points, the loudest model-cost discussion of the week.
What you can build with it
Pick a tier per job: Luna for high-volume classification and extraction, Terra for general agents, Sol when the task actually needs frontier reasoning. On Cerebras, Sol streams up to 750 tokens/s — fast enough that real-time coding and voice loops stop feeling laggy.
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