OpenAI proposes a 'Useful Intelligence per Dollar' scorecard for the AI age

OpenAI 提出 AI 时代记分卡："有用智能每美元"衡量实际工作价值

OpenAI published a CFO-oriented guide that shifts AI spend measurement from cost per token to cost per successful task. It builds a four-question framework: how much useful work gets done, what a successful task actually costs, how dependable the result is, and whether each dollar buys more work as usage scales. GPT-5.6's three tiers—Sol, Terra, Luna—are used as examples; Sol hits 72.7% on DeepSWE v1.1 vs. Claude Fable 5's 69.9%, with 36.2% lower estimated API cost. The post does not disclose specific pricing.

Why it matters: OpenAI published a CFO-facing guide that reframes AI cost from token price to a four-dimension 'useful intelligence per dollar' scorecard, with concrete comparisons across GPT-5.6 tiers and Claude Fable 5. Framework, numbers, and competitive positioning make it actionable for ...