Snowflake Adds AI Model Routing to Cut Costs

Snowflake’s Plan to Cut AI Costs

Snowflake CEO Sridhar Ramaswamy joins Bloomberg Open Interest in an exclusive interview to explain why the next phase of enterprise AI is about economics, not simply using the biggest model available. He breaks down how model routing can cut AI costs, why relying on a single model creates risk, and how AI agents could shift workers from repetitive tasks toward higher-value jobs. (Source: Bloomberg)

Snowflake Unlocks Better AI Economics with Dynamic Model Routing, Delivering More Value to Customers

Better AI Economics for Every Task: Cortex AI Gateway automatically selects the best model based on quality, speed, customer preferences, and cost, helping enterprises optimize inference performance and reduce unnecessary AI spend Expanding Model Choice: Snowflake will be adding DeepSeek-V4-Flash 0731 and GLM-5.3 to Snowflake Cortex AI, unlocking new leading open models, while keeping governed […]

Snowflake adds AI model routing to cut costs

Enterprise teams running AI agents at scale are finding that a single model handles every task poorly — either the model is too expensive for simple questions or not capable enough for hard ones. Model routing, which picks the right model for each task automatically, is becoming the fix.Snowflake’s Cortex AI Gateway now offers dynamic model routing to address that: enterprises can select “auto” instead of a fixed model, and the system routes eac…

“Enterprises are becoming much more rigorous about the economics of AI”: Snowflake wants to help you cut AI costs by choosing the right model for the right task

Snowflake has announced new dynamic model routing capabilities for flagship products along with expanded access to open-weight models for customers. The new capabilities build on Cortex AI Gateway, according to the firm. It was unveiled in July this year and provides customers with a “unified foundation” for agent governance and routing requests. The aim here, the company noted, is primarily focused on optimizing AI token consumption, which has …