ByteDance-Seed models

3 ByteDance-Seed models on Hugging Face, from 8.3B to 36.2B parameters. At the precision each one is published in, the smallest needs about 20.9 GB of VRAM (academic-ds-9B, cheapest live fit: RTX A5000) and the largest about 80.8 GB (Seed-OSS-36B-Instruct, cheapest live fit: RTX PRO 6000). The cheapest way to run academic-ds-9B is $0.176/hr.

ByteDance-Seed models

ModelParametersPublished asVRAM neededLive GPU fitEst. $/hr
UI-TARS-1.5-7B8.3BF3237.1 GBRTX A6000$0.363/hr
academic-ds-9B9.4BBF1620.9 GBRTX A5000$0.176/hr
Seed-OSS-36B-Instruct36.2BBF1680.8 GBRTX PRO 6000$1.38/hr

VRAM is for the precision the model is published in, with the same overhead and an 8,192-token context assumed on every page; see the methodology. The fit shown is the lowest-priced single GPU type that holds the model at that precision, or the lowest-priced multi-GPU set (up to 8) when none does.

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