OpenAI reportedly releases GPT-6 Sol and Luna with 50% lower API prices, GeekPark reports

OpenAI launched GPT-6 Sol and GPT-6 Luna, two faster and more economical models trained using methods similar to GPT-6 Astra. The models bring Astra's performance in professional work, factuality, coding, computer use, and alignment to lower-cost tiers. API prices are 50% lower than the GPT-5.6 promotional price. In AutomationBench cross-application business process tests, GPT-6 Sol outperformed Claude Opus 5 at xhigh intensity while costing only 9% of Opus 5's per-task cost. GPT-6 Luna improved 5.4% over its predecessor at high intensity with a 58% reduction in per-task cost. On the Last Exam agent evaluation, GPT-6 Sol scored 56.4% at max effort, higher than Claude Opus 5's highest score, with 60% lower per-task cost. OpenAI also improved prompt caching for GPT-6, providing higher cache hit rates by default for faster agent responses.

GPT-6 Sol and Luna are distilled or otherwise optimized variants of GPT-6 Astra, retaining its capabilities in professional tasks, factuality, coding, computer use, and alignment while reducing inference cost. The models show strong performance on AutomationBench and Last Exam, with Sol matching or exceeding Claude Opus 5 at a fraction of the cost. Improved prompt caching increases cache hit rates, reducing latency and cost for agentic workloads that reuse context.