Snowflake Adds AI Model Routing to Cut Costs
The new routing feature automatically picks the best model for each task and is aimed at reducing inference spend for more than 13,900 customers.
- Snowflake announced dynamic model routing within Cortex AI Gateway, allowing enterprises to automatically select models balancing quality and cost while reducing unnecessary AI spending.
- Enterprise teams running AI at scale find that using a single model for every task drives up costs, while manual selection creates significant management work as agent usage grows.
- Internal evaluations showed agents using dynamic routing achieved up to 3x greater token efficiency in pipelines, while engineering teams completed tasks with 25 percent greater token efficiency.
- Snowflake is expanding access to leading open models, including DeepSeek-V4-Flash and GLM-5.3, through Snowflake Cortex, allowing customers to choose from a broader library while keeping governed data secure.
- Sanjeev Mohan, Principal and Founder of SanjMo, told VentureBeat that Snowflake is "selling routing that never leaves the governed data boundary, with access controls, tagging, and cost attribution already attached.
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15 Articles
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)
Financial Post
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…
Snowflake Unlocks Better AI Economics with Dynamic Model Routing, Delivering More Value to Customers - CIO&Leader
Snowflake the AI Data Cloud company, today announced dynamic model routing2 within Cortex AI Gateway and Snowflake’s flagship AI products, alongside expanded access to leading open models. Snowflake’s innovations help enterprises reduce unnecessary AI spend…
Snowflake targets AI costs with dynamic model routing
Snowflake is expanding its AI infrastructure proposition with dynamic model routing, designed to help enterprises control the economics of AI by automatically matching workloads with models based on quality, speed, customer preferences and cost. The post Snowflake targets AI costs with dynamic model routing appeared first on Express Computer.
The Enterprise Fight Against Runaway AI Costs
As enterprises increasingly turn to AI to get work done, three new weapons are emerging in their fight to control spiralling AI adoption costs: agent harness, model selection and inference economics. Simply put, AI adoption is no longer being judged solely on model capabilities, benchmarks or impressive agent demos, but on whether these systems can deliver measurable productivity gains without pushing project costs higher. As AI moves from pilot…
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