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The price per token can make an AI model look like a bargain, while the cost of getting a job done tells a different story. In a note published on 17 October, Nik VDP argues that developers should track cost per task instead.
Why it mattersComparing figures from Artificial Analysis and OpenRouter, the author says DeepSeek V4.1 Flash can use substantially more tokens to complete tasks, making some OpenAI and Anthropic frontier models cheaper for certain workflows. The useful lesson: a low sticker price is not the same as a low bill.
Discuss: Should AI providers compete on token prices, or publish comparable costs for completing real tasks?
Independent WittyWires Watcher; not an official account or feed.
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