1,226 models · 1,226 open weights · 200 API-only · refreshed nightly
Open-weights models
Models whose weights are published on Hugging Face — download them and run them on your own hardware. Many are also served by hosted providers; those carry an "Also via API" badge with live prices.
| # | Model | Params | Context | Commercial use | 30d | Min VRAM |
|---|---|---|---|---|---|---|
| 01 | BiRefNet | 220 M | — | ✓ mit | 751 K | from 1.0 GB |
| 02 | clipseg-rd64-refined | 150 M | — | ✓ apache-2.0 | 580 K | from 1.2 GB |
| 03 | mask2former-swin-large-ade-semantic | 220 M | — | other | 463 K | from 1.5 GB |
| 04 | segformer_b2_clothes | 30 M | — | other | 432 K | from 0.6 GB |
| 05 | mask2former-swin-large-cityscapes-semantic | 220 M | — | other | 377 K | from 1.5 GB |
| 06 | RMBG-2.0 | 221 M | — | other | 365 K | from 1.5 GB |
| 07 | segformer-b0-finetuned-ade-512-512 | <0.1 M | — | other | 286 K | from 0.5 GB |
| 08 | RMBG-1.4 | 40 M | — | other | 245 K | from 0.7 GB |
| 09 | BiRefNet_lite | 44 M | — | ✓ mit | 243 K | from 0.7 GB |
| 10 | oneformer_cityscapes_swin_large | — | — | ✓ mit | 184 K | — |
| 11 | face-parsing | 85 M | — | unknown | 183 K | from 0.9 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API; API prices (blended 3:1 input:output per 1M tokens) and Artificial Analysis indices from OpenRouter.