We are thrilled to announce the availability of Claude Sonnet 4.5, Anthropic’s most capable model to date, available to customers on Snowflake Cortex AI. With their multi-year partnership, Anthropic and Snowflake are committed to bringing generative AI innovations to customers. This latest offering helps enterprises develop and scale AI products in an easy, connected, and trusted way.
As a launch partner with Anthropic, we’re providing same-day availability of Claude Sonnet 4.5 (in public preview on Cortex AI). This model is available within the secure Snowflake perimeter for use with Cortex AISQL and Cortex REST API, and will be coming soon in Cortex Agents (in public preview) and Snowflake Intelligence (in public preview).
Claude Sonnet 4.5 delivers significant upgrades over its predecessor, with key improvements in the following areas:
Anthropic’s Claude Sonnet 4.5 joins other leading frontier models in Cortex AI, enabling a wide range of enterprise use cases, all within Snowflake’s secure, governed environment. The Sonnet 4.5 model is well-suited to:
Fig 1: Snowflake Cortex AI features
Snowflake Cortex AI is a suite of integrated features and services that include fully managed LLM inference and easy retrieval of data, so that customers can quickly analyze unstructured data alongside their structured data and expedite the building of agentic AI applications. Cortex’s unified AI and data platform helps organizations turn AI concepts into reality in days. Enterprises of all sizes and industries can now implement a range of use cases from text summarization and sentiment analysis to the development of powerful AI agents.
With Cortex AI, accessing models is easy. You can simply access Sonnet 4.5 in one of the supported regions. In non-supported regions, you can access it with cross-region inference enabled.
Cortex AISQL makes it easy to build scalable AI pipelines across multimodal enterprise data using familiar SQL. Cortex AISQL delivers high-performance processing at a lower cost than manually orchestrated AI pipelines, enabling trusted insights across the enterprise while maintaining the security and governance capabilities Snowflake is known for. For example, with the AI_COMPLETE function, analysts can apply natural language instructions directly in SQL, leveraging state-of-the-art models like Sonnet 4.5.
Fig 2: Q2 FY26 Snowflake earnings presentation slide
To make low-latency inference calls to Cortex AI for native apps, developers can simply use the REST API interface. Here is an example of what that looks like:
Snowflake prioritizes security and privacy of enterprise data and Anthropic is dedicated to building secure, reliable AI — creating strong alignment in delivering cutting-edge innovations. The Sonnet 4.5 model is now available in public preview within the secure Snowflake perimeter for use with Cortex AISQL functions and the REST API, and will be available soon for use with Cortex Agents and Snowflake Intelligence.
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Forward Looking Statements
This article contains forward-looking statements, including about our future product offerings, and are not commitments to deliver any product offerings. Actual results and offerings may differ and are subject to known and unknown risk and uncertainties. See our latest 10-Q for more information.
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