AEO Primer · 4 min read · May 2026
What is Snowflake Cortex? The AI and ML Layer Inside Snowflake
By Thinklytics Partners, Practitioner Notes
Snowflake Cortex is Snowflake's managed AI and ML service that runs LLM functions, ML model serving, and AI feature engineering inside the Snowflake compute boundary, with no data movement.
Topics covered
- Snowflake Cortex
- Cortex Analyst
- Cortex Search
- Snowflake AI
- in-database AI
- LLM functions
Frequently asked questions
What is Snowflake Cortex in one sentence?
Snowflake Cortex is Snowflake's managed AI and ML service that runs LLM functions (summarize, sentiment, translate, complete), ML model serving, document AI, and AI feature engineering inside the Snowflake compute boundary, with no data movement outside the Snowflake account.
What are the main Cortex products?
Cortex LLM Functions (sentiment, summarize, translate, complete, classify), Cortex Search (vector search over Snowflake tables), Cortex Analyst (natural language to SQL with semantic model grounding), Document AI (PDF and image extraction), and Cortex Fine-Tuning (model fine-tuning on Snowflake data).
How is Cortex priced?
Per-token for LLM functions (rates vary by model: Llama 3 70B, Claude 3 Sonnet, Mistral Large 2, GPT-4o, etc.). Cortex Search is a separate compute pool. Most production workloads land at $2,000 to $30,000 per month for Cortex usage on top of base Snowflake compute and storage.
Which LLM models does Cortex support?
As of 2026: Llama 3 family, Mistral family, Snowflake's Arctic models, Anthropic Claude models, and OpenAI models. Available models vary by region. Customers can also fine-tune select models on their own Snowflake data.
Is Cortex a competitor to Databricks Mosaic AI?
Yes, in concept. Both run LLMs and ML serving inside the data platform's compute boundary. Cortex is more turnkey for SQL-first teams (the functions look like UDFs). Mosaic AI is more flexible for code-first ML teams. The cross-vendor comparison usually decides on team skills, not feature parity.
Does Cortex replace OpenAI or Anthropic direct API calls?
For analytical workloads against Snowflake data, often yes. The data-locality argument (no data movement) plus the SQL-function ergonomics make Cortex the cheapest path for in-database LLM use. For interactive customer-facing apps and complex agentic workflows, direct API calls usually still win.
What is Cortex Analyst?
Cortex Analyst is Snowflake's natural-language-to-SQL service, grounded against a semantic model the customer defines. It is positioned against Databricks' Genie, ThoughtSpot Sage, and Snowflake's own legacy text-to-SQL features. Production accuracy depends entirely on the quality of the semantic model definition.
How does Thinklytics work on Snowflake Cortex?
We scope Cortex engagements as adjacent to data foundation work, not standalone. The Cortex value comes from clean semantic models, well-defined certified metrics, and good data hygiene. See [Snowflake Cortex consulting](/insights/snowflake-cortex-consulting-2026) for the full engagement shape and [Snowflake vs Databricks AI workloads](/insights/snowflake-vs-databricks-ai-workloads-2026) for the cross-vendor comparison.