Model routing cuts AI costs by matching tasks to the right model, challenging OpenAI and Anthropic's premium pricing model
By
Jasmine Wu, Deirdre Bosa
Summary
Model routing is an emerging practice where companies match AI tasks to appropriately sized models—sending complex problems to expensive frontier models and routine work to cheaper, faster alternatives. This approach can yield 5-10x cost efficiency gains for boilerplate work. Currently, most enterprise AI usage (roughly 95%) still runs on the most expensive models, indicating significant untapped cost-saving potential.
Source
bskyModel routing cuts AI costs by matching tasks to the right model, challenging OpenAI and Anthropic's premium pricing modelcnbc.comKey quotes
· 3 pulledScott Wu, CEO of Cognition, which makes the coding agent Devin, said the gains on routine work are enormous.
For a lot of the boilerplate work, he said, companies can get five to 10 times better cost efficiency using models that are still good enough for the task.
Glean CEO Arvind Jain has estimated that roughly 95% of enterprise AI usage is still running on the most expensive models.
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