OpenAI's GPT 5.6 Creates Configuration Overwhelm With 72 Possible Options
OpenAI's GPT 5.6 release introduces an overwhelming array of choices, combining multiple model sizes, reasoning effort levels, and operational modes into a total of 72 possible configurations. The lineup includes three model options — Sol, Terra, and Luna — each representing different model sizes and training budgets. Users must navigate these options alongside six reasoning-effort levels and additional toggles.
The configuration matrix breaks down into Work versus Codex modes, three model tiers, six effort settings ranging from Light to Ultra, and Standard versus Fast speeds. This structure maps interestingly onto the classic o1 scaling plots, where the three model sizes sit along the training-compute axis while the effort settings occupy the inference-time-compute axis. The result is a complex decision space for developers and organizations trying to select the right setup.
Performance-versus-cost analysis helps identify the best value combinations, and some non-obvious pairings emerge as winners. For example, Luna with Extra High effort potentially outperforms Sol with Medium effort while costing less. Despite these insights, the sheer number of options creates significant decision fatigue, leaving many users uncertain about which configuration truly serves as the sensible default.