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SnowflakeReleased April 24, 2024

Arctic

Open Source480B (17B active) parameters

Arctic is Snowflake's entry in a crowded field. Context window: 0.004K tokens.

Context

4K

Input

Free (open)

Key Specifications

🏆

Arena Rank

Not disclosed

📐

Context Window

4K

📥

Input Price

per 1M tokens

Free (open)

📤

Output Price

per 1M tokens

Free (open)

🧠

Parameters

480B (17B active)

🔓

Open Source

Yes

Best For

SQL generationenterprise data taskscoding

About Arctic

Arctic, developed by Snowflake, is an open-source Mixture-of-Experts model with 480 billion total parameters (17 billion active per token) and a 4K token context window. The model is purpose-built for enterprise data tasks including SQL generation, data analysis, coding, and structured query optimization. Snowflake designed Arctic to integrate with its cloud data platform, enabling organizations to run AI workloads alongside their data warehouses. The MoE architecture keeps inference efficient despite the large total parameter count. Free and fully open-source, Arctic can be deployed on enterprise infrastructure for data-sensitive workloads. The model targets the intersection of data engineering and AI, handling tasks like natural language to SQL conversion, data pipeline debugging, and analytical report generation that are central to Snowflake's enterprise customer base.

Pricing per 1M tokens

Input Tokens

Free (open)

Output Tokens

Free (open)

Compare Arctic

See how Arctic stacks up against other leading AI models

Arctic vs Claude Opus 4Compare →Arctic vs GPT-o3Compare →Arctic vs GPT-4oCompare →Arctic vs GPT-o1Compare →Arctic vs DeepSeek R1Compare →

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Frequently Asked Questions

What is Arctic?▾
Arctic, developed by Snowflake, is an open-source Mixture-of-Experts model with 480 billion total parameters (17 billion active per token) and a 4K token context window. The model is purpose-built for enterprise data tasks including SQL generation, data analysis, coding, and structured query optimization. Snowflake designed Arctic to integrate with its cloud data platform, enabling organizations to run AI workloads alongside their data warehouses. The MoE architecture keeps inference efficient despite the large total parameter count. Free and fully open-source, Arctic can be deployed on enterprise infrastructure for data-sensitive workloads. The model targets the intersection of data engineering and AI, handling tasks like natural language to SQL conversion, data pipeline debugging, and analytical report generation that are central to Snowflake's enterprise customer base.
How much does Arctic cost?▾
Arctic costs Free (open) per 1M input tokens and Free (open) per 1M output tokens. You pay only for what you use, which keeps costs predictable.
What is Arctic's context window?▾
Arctic has a context window of 4K tokens. This determines how much text the model can process in a single request — bigger windows mean longer documents and richer conversation history.
Is Arctic open source?▾
Yes, Arctic is open source. The model weights are publicly available, so developers can download, fine-tune, and self-host it. Open-source models give teams more control over data privacy and deployment.
What is Arctic best for?▾
Arctic is best suited for: SQL generation, enterprise data tasks, coding. These use cases play to the model's strengths in capability, speed, and cost within Snowflake's lineup.