A new study by Nous Research found that open-source AI models consume significantly more computing resources than closed-source models, undermining their perceived cost advantages. The research revealed that open models may require 1.5 to 10 times more tokens for similar tasks, prompting enterprises to reconsider their AI deployment strategies based on token efficiency rather than just per-token costs.
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