Introducing GPT-6 Sol and Luna
Which summary reads better? Pick one — models revealed after.Both summaries are AI-generated.
GPT-6 Sol and Luna introduce specialized trade-offs between capability and cost, enabling engineers to deploy tailored LLMs for specific production needs. Engineers can now optimize for high-performance tasks or cost efficiency without compromising on core functionality, reducing overhead and improving scalability in real-world applications.
GPT-6 now ships in two tiers: Sol for maximum capability and Luna as a cheaper, lighter variant, so you can route by cost/quality per call rather than paying frontier rates on every request. Build a routing layer now — send bulk and latency-tolerant traffic to Luna and reserve Sol for hard reasoning tasks, and re-benchmark your prompts against both since behavior and token economics will differ between the two.