The post compiles pricing and multiple benchmarks for the three model tiers and offers routing recommendations: use Terra as the default model for most workloads, reserve Sol for the hardest agentic/terminal tasks, and use Luna for high-frequency pipelines. The post also sparked discussion about hallucinations, subscription quotas, and whether benchmarks represent the real-world experience.
Original prices in the post: Sol $5/$30, Terra $2.50/$15, and Luna $1/$6 (per million input/output tokens; prices have since changed and should not be treated as current pricing).
Terminal-Bench 2.1: Sol 88.8%, Terra 87.4%, and Luna 84.7%.
AA Coding Agent Index: Sol 80, Terra 77.4, and Luna 74.6.
DeepSWE value: the post says Luna delivers approximately 24 points per $1, compared with approximately 4.5 points for Opus 4.8.
Commenters noted that Sol may hallucinate in actual use, while others felt that Luna Max was close to Sol Medium, although the speed and efficiency are not exactly the same.
OpenAI shipped GPT-5.6 to GA on July 9 — three tiers (Sol, Terra, Luna) that can evolve on independent cadences, plus ne… This is a necessary excerpt; read the original source for full context.
GPT-5.6 Luna
