GPT · OpenAI
Answering that question requires looking more deeply than a metric such as cost per token
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★ Tier-1 Source
A lower-cost model may have cheaper tokens, but getting great results may require more attempts, more time, or more human review.
Key facts
- On the Artificial Analysis Coding Agent Index, GPT‑5.6 Sol with max reasoning set a new state of the art while using 54% fewer output tokens than another leading model
- The team trained GPT‑5.6 to get more useful work from every token
- Across the GPT‑5.6 family, the goal is the same: more successful work per dollar
- The ultimate scorecard for the age of AI could be looked at as “Useful Intelligence per Dollar.” This metric answers four key questions
Summary
The question the reporter hear from CFOs everywhere is simple: how do they get more value from their AI spend? For years, the market measured the success of software through adoption: seats purchased, users active, licenses renewed. The basic economic question facing CFOs and other business leaders is whether the value of the work AI completes grows faster than the cost of producing it. Answering that question requires looking more deeply than a metric such as cost per token. The ultimate scorecard for the age of AI could be looked at as “Useful Intelligence per Dollar.” This metric answers four key questions:.