AI models
Arctic
Training compute
3.8×10²³ FLOP
Parameters
480B
Published
Apr 24, 2024
Arctic is an AI model developed by Snowflake (United States), first published in April 2024. It works in the language domain, on tasks such as language modeling/generation, question answering, code generation and quantitative reasoning.
Training it took an estimated 3.8×10²³ FLOP of compute (estimation method: other,operation counting). The model has 480,000,000,000 parameters. The compute alone is estimated at $2M in 2023 dollars.
Access: Open weights (unrestricted). Its weights are openly available. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Snowflake
- Country of organization
- United States
- Domain
- Language
- Task
- Language modeling/generation, Question answering, Code generation, Quantitative reasoning
- Training compute
- 3.8×10²³ FLOP
- Compute estimation method
- Other, Operation counting
- Parameters
- 480,000,000,000
- Chip-hours
- 504K
- Training cost (2023 USD)
- $2M
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Epoch confidence
- Confident
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
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