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They measure token usage by tracking the number of tokens processed and billed for a given task, since token efficiency is defined as the amount of data processed and billed. To compare providers in practice, run the same tasks on OpenAI, Meta, SpaceXAI, and Anthropic and compare the tokens consumed per task and resulting cost, with fewer tokens for the same output indicating better token efficiency. Answered

Token-efficiency improvements mean models like GPT-5.6 and Grok 4.5 complete the same tasks while consuming fewer tokens, and token usage is the metric that gets processed and billed. Using fewer billed tokens per request directly reduces per-request cost, and those savings compound at enterprise scale where many requests make token reductions translate into significant cost reductions. Answered

Yes. The article says Halo lets agents share progress in real time, enabling agents to report progress for ongoing activities. Progress is represented as subtle updates in a dedicated status bar space that can show clarifications, progress updates, requests for input, and completed work. Answered

Buyers should expect lower operational costs and big savings at scale from a more token-efficient model, but those savings may come with reduced raw performance or capabilities compared with a higher-power model like Anthropic’s Fable 5. The article says enterprises are increasingly trading some model power for token efficiency to cut AI spending. Answered