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 is Snowflake's open-source mixture-of-experts model with 480 billion total parameters and 17 billion active. It was specifically designed for enterprise intelligence tasks like SQL generation, data analysis, and coding. Arctic excels at translating natural language questions into database queries and is deeply integrated with Snowflake's data platform ecosystem.
Built bySnowflake↗
Pricing per 1M tokens
Input Tokens
Free (open)
Output Tokens
Free (open)
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Frequently Asked Questions
What is Arctic?▾
Arctic is Snowflake's open-source mixture-of-experts model with 480 billion total parameters and 17 billion active. It was specifically designed for enterprise intelligence tasks like SQL generation, data analysis, and coding. Arctic excels at translating natural language questions into database queries and is deeply integrated with Snowflake's data platform ecosystem.
How much does Arctic cost?▾
Arctic costs Free (open) per 1 million input tokens and Free (open) per 1 million output tokens. Pricing is based on token usage, making it cost-effective for both small and large-scale applications.
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 — larger context windows allow the model to handle longer documents, maintain more conversation history, and reason over bigger codebases.
Is Arctic open source?▾
Yes, Arctic is open source. This means the model weights are publicly available, allowing developers and organizations to download, fine-tune, and self-host the model on their own infrastructure. Open-source models offer greater flexibility and data privacy control.
What is Arctic best for?▾
Arctic is best suited for: SQL generation, enterprise data tasks, coding. These use cases leverage the model's specific strengths in terms of capability, speed, and cost-effectiveness within Snowflake's model lineup.