Snowflake enables AI model selection per task to reduce costs
Snowflake is launching dynamic model routing in Cortex AI Gateway to lower AI costs by directing simpler tasks to more affordable models.
What happened?
Data cloud company Snowflake is launching dynamic model routing in its Cortex AI Gateway. The feature evaluates incoming tasks and automatically routes them to the most suitable AI model based on requirements for quality, speed, and price. In internal tests, the company reports that token efficiency improved by up to three times.
Key facts
| Lanseringsdatum | 7 november 2026 |
|---|---|
| Funktion | Dynamic model routing i Cortex AI Gateway |
| Effektivitetsökning | Upp till tre gånger högre tokeneffektivitet |
Why it matters
Many organisations use expensive, high-end models even for simpler tasks such as summarisation or text classification. By automating model selection, businesses can significantly reduce computational costs without sacrificing performance in complex scenarios.
Who is affected?
The feature is aimed at enterprises, data engineers, and AI developers building applications within Snowflake's cloud platform who wish to reduce their operational costs for generative AI.
Impact on the EU
The feature is part of Cortex AI Gateway, which is available to Snowflake's enterprise customers globally, including within the EU.
What else you should know
The technology is based on dynamic model routing, which continuously balances the trade-offs between quality, response time, and cost per request.
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