Snowflake Cortex
Researched 8d agoPlatformTier 2Snowflake
Snowflake Cortex exposes 4 tracked models (0 with output token pricing in seed data). Task coverage across this catalog includes coding, rag, and agents; open any model detail page for benchmarks, batch tiers, and migration prompts.
Portfolio context: 7 decision-task tags, 4 catalog rows, latest research stamp 2026-05-25.
Use this portfolio page for
- Operators routing coding, rag, and agents workloads through this API
Do not stop here for
- Final benchmark picks without opening the relevant model detail page
- Strict price-per-token comparisons until output pricing is sourced
Catalog rows
4
Models linked to this provider in seed data
Priced output routes
0
Add output pricing to unlock comparisons
Cheapest output
Unknown
Need positive token_out rows
Batch-ready SKUs
0
No batch pricing tracked
Latest catalog ship
2025-10-01
244d since dated release field
Freshness
2026-05-25
Researched 8d ago
Catalog release signal
Latest ISO-dated model.release in this catalog is 2025-10-01 (244d ago).
Where this host wins
- Coding: 3 tracked models with SWE-bench / HumanEval-style scores.
- RAG: 3 tracked models with ruler / needle retrieval benchmarks.
- Agentic: 3 tracked models with BFCL, tau-bench, and SWE-bench tool-use coverage.
- Long-context: 3 tracked models with context-token or InfiniteBench-class signal.
Getting started
Official entry points from seed metadata — confirm quotas and regions in vendor docs.
Compliance notes (verbatim seed excerpts)
Not yet verified from seed copy — no SOC/ISO/HIPAA-class sentences detected to quote verbatim.
Platform Overview
Snowflake's AI platform offers a unified data environment that integrates various data types, enabling organizations to leverage their information for AI applications across multi-cloud environments. The platform's Cortex AI suite includes advanced capabilities such as large language models (LLMs) for natural language processing, document AI for extracting insights from unstructured data, and no-code interfaces for rapid application development. This comprehensive toolset empowers users to create sophisticated AI applications while maintaining data integrity and security within a governed framework, all without the need for complex data movement between cloud providers. The platform is designed for scalability and high performance, dynamically adjusting resources to accommodate varying workloads and user demands. It supports high concurrency, allowing multiple users to run complex queries simultaneously without performance degradation. The architecture incorporates robust data governance features to ensure compliance and security across all data interactions. Additionally, the platform includes collaborative tools that facilitate teamwork among data scientists, engineers, and analysts, enhancing productivity and fostering innovation in AI development and deployment.
Available Models(4)
View all →All models available as Serverless
Contact provider for pricing
Platform Details
Organization
Snowflake delivers the AI Data Cloud, a global network that enables organizations to mobilize data with near-unlimited scale, concurrency, and performance. The platform serves as the engine powering the AI Data Cloud, offering a comprehensive solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Key features of Snowflake's AI Platform include: 1. Unified data environment: Organizations can consolidate siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. 2. Multi-cloud support: Snowflake provides a seamless experience across multiple public clouds, allowing users to access and manage data regardless of its location. 3. AI-driven capabilities: The platform supports various AI and machine learning workloads, enabling organizations to build and deploy data-driven applications and models. 4. Collaboration and data sharing: Users can collaborate with data-driven peers, share governed data securely, and access a network of thousands of organizations within the AI Data Cloud. 5. Scalability and performance: Snowflake's architecture allows for near-unlimited scale and high-performance computing to handle complex AI and analytics tasks. 6. Data governance and security: The platform incorporates robust data governance and security features to ensure responsible and protected use of data in AI applications. Snowflake's AI Data Cloud empowers organizations to leverage their data assets for AI-driven insights, innovation, and decision-making across various industries and use cases.