Arctic Models by Snowflake
Last refreshed 2026-05-19. Next refresh: weekly.
Details
Capabilities
About
Snowflake's Arctic family of LLMs is a powerful suite of large language models engineered for enterprise applications, emphasizing both intelligence and resource efficiency. Leading the collection is the Arctic model, which features a unique Mixture-of-Experts (MoE) hybrid transformer architecture. This combines a dense 10B parameter transformer with a 128x3.66B MoE MLP, resulting in an impressive total of 480B parameters, though only 17B are active at any given time. This innovative design allows Arctic to deliver high-quality outcomes while optimizing resource use, outperforming many other prominent open models in various benchmarks. The Arctic lineup also includes models like Arctic-Instruct, tailored for following instructions and generating high-quality responses from natural language queries, and Arctic Embed, a set of text embedding models engineered for retrieval tasks. All models are available under the Apache 2.0 license, fostering open usage and collaboration 12.
Decision facts
- Best fit
- structured outputscoding
- Capability starting point
- Arctic-TILT
- Lowest tracked input
- Arctic · $0.65/1M · Replicate API
- Closest related family
- Claude 3
Current Variants
Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| Arctic-TILT | Use when the workload needs 800M parameters. | 2024-05 | 800M parameters | Current |
Release Timeline
2 release groupsSpecifications(2 models)
| Model | Released | Context | Parameters | Structured Outputs |
|---|---|---|---|---|
| Arctic-TILT | 2024-05 | — | 800M | No |
