Together AI exposes Arctic through model ID arctic. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-06-15. Next refresh: weekly.
Quick Start
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Code Examples
pip install togetherTOGETHER_API_KEYarcticTogether uses "organization/model-name" format, e.g. "meta-llama/Llama-4-Scout-17B-16E-Instruct" or "Qwen/QwQ-32B". See the Together model catalog for the exact ID.
from together import Together
client = Together() # reads TOGETHER_API_KEY from env
response = client.chat.completions.create(
model="arctic",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Pricing on Together AI
| Type | Price (per 1M) |
|---|---|
| Input tokens | $2.40 |
| Output tokens | $2.40 |
Capabilities
About Arctic
Snowflake Arctic is an advanced large language model tailored for enterprise applications by Snowflake AI Research. It features an innovative Dense-MoE Hybrid transformer architecture, combining a 10 billion parameter dense transformer with a 128 x 3.66 billion parameter MoE MLP, totaling 480 billion parameters but utilizing only 17 billion actively. This structure optimizes efficiency, particularly for tasks like SQL generation, coding, and instruction following. The model's training spanned a diverse dataset of 3.5 trillion tokens, focusing on enterprise needs. Despite its capabilities, Arctic's deployment presents challenges due to its size, and it remains vulnerable to inaccuracies with unclear inputs.