GPT-6 Sol and Luna halve cost but show regressions in some evals

Artificial Analysis 评测 GPT-6 Sol 和 Luna：成本减半但各评测有升有降

OpenAI's GPT-6 Sol and Luna cut prices roughly in half: Sol drops to $2/$10 per million input/output tokens, Luna to $0.10/$0.50. Per-task cost on the Artificial Analysis Intelligence Index falls from $1.99 to $1.06 for Sol and $0.18 to $0.07 for Luna, while overall scores stay level. Hallucination rates drop sharply—Sol from 92% to 60%, Luna from 93% to 77%—but both models decline to answer more often. In the Coding Agent Index, Sol gains 2 points to 57; Luna loses 2 points to 41. Both regress on GDPval-AA v2.1, a knowledge-work benchmark: Sol drops ~100 Elo, Luna ~75, driven by shorter deliverables that omit rubric elements. The cost drop is real; the quality trade-off on knowledge tasks is worth watching.

Why it matters: OpenAI halved GPT-6 pricing, with Sol per-task cost at $1.06 and Luna at $0.07, but capabilities are mixed — Luna actually regressed on the Coding Agent Index. Solid third-party benchmark data makes this directly useful for developer decision-making. Not p1 because this is a c...