SAVRN
Search Contact SAVRN

SAVRN Model Hub · Comparisons

CLIP-ViT-L-14-laion2B-s32B-b82K vs siglip2-base-patch16-256

CLIP-ViT-L-14-laion2B-s32B-b82K has 428M parameters and siglip2-base-patch16-256 has 375M parameters; CLIP-ViT-L-14-laion2B-s32B-b82K is released under MIT License and siglip2-base-patch16-256 under Apache License 2.0; at 16-bit, CLIP-ViT-L-14-laion2B-s32B-b82K needs about 1 GB (1x MI300X from $1.85 an hour) and siglip2-base-patch16-256 about 0.9 GB (1x MI300X from $1.85 an hour).

Published metadata for 2 models, each read from its own repository.
Field CLIP-ViT-L-14-laion2B-s32B-b82K
laion/CLIP-ViT-L-14-laion2B-s32B-b82K
siglip2-base-patch16-256
google/siglip2-base-patch16-256
Publisher LAION eV Google
Task Zero shot image classification Zero shot image classification
Modality Other Other
Parameters, as reported 428M parameters 375M parameters
Architecture CLIPModel siglip
Library open_clip transformers
Context length 77 tokens Not stated
Repository size 6.8 GB 1.5 GB
Artifact formats safetensors, pytorch, tensorboard safetensors
License mit apache-2.0
Access Open weights, no gate Open weights, no gate
Memory at 16-bit (weights and margin) 1 GB 0.9 GB
Cheapest GPUs at 16-bit, per hour 1x MI300X, $1.85 1x MI300X, $1.85
Memory at 4-bit (weights and margin) 0.3 GB 0.2 GB
Cheapest GPUs at 4-bit, per hour 1x MI300X, $1.85 1x MI300X, $1.85
Revision viewed 162703219714 3f9f96cb90da
Downloads reported by the hub 4M 3.9M
Last observed 2026-09-18 2026-09-18

An evaluation row appears only where at least two of these models report the same benchmark with the same stated configuration, metric, unit and setup. Different evaluators stay named in each cell. Values are shown as reported: no unit conversion, no ranking.

SAVRN's Notes on CLIP-ViT-L-14-laion2B-s32B-b82K

Hand it a photo and a few label phrases you just wrote, and it tells you which phrase fits, with no training run; that is zero-shot image classification. The text side stops at 77 tokens, so labels are phrases, not paragraphs. At 16-bit the 428M parameters weigh 0.9 GB and the run needs 1.0 GB, a rounding error on the 192 GB MI300X we price at $1.85 an hour, so it shares a card rather than owning one.

MIT permits commercial use, modification and redistribution with the notices kept, but weigh the publisher's framing too: LAION eV calls this a research output for research communities, trained on the LAION-2B English subset of LAION-5B with OpenCLIP. Before committing, run that data lineage through your governance review, check that English training text suits your labels, and decide whether a checkpoint released September 14, 2022 is current enough for your pipeline.

SAVRN's Notes on siglip2-base-patch16-256

We would deploy this for one of the three jobs the publisher names: zero-shot image classification, image-text retrieval, or the vision encoder for a vision-language model. In 16-bit it wants 0.9 GB of memory for 0.8 GB of weights; 8-bit brings that to 0.5 GB. The cheapest setup on our list is one MI300X with 192 GB at $1.85 an hour, and at 375M parameters this model is a passenger on that card, not the reason to rent it.

Commercial use, modification and redistribution are permitted under Apache 2.0, with the license and NOTICE file kept and significant changes stated. Two things to check. No context length is recorded, so confirm the input limits against the three papers that describe it, arXiv:2502.14786, arXiv:2303.15343 and arXiv:2209.06794. And the weights arrive as safetensors only, 1.5 GB across 9 files, released February 17, 2025 and last updated four days later.

Questions

Which is larger, CLIP-ViT-L-14-laion2B-s32B-b82K or siglip2-base-patch16-256?

CLIP-ViT-L-14-laion2B-s32B-b82K (428M parameters) is larger than siglip2-base-patch16-256 (375M parameters), by the parameter counts their publishers report.

Which is cheaper to run, CLIP-ViT-L-14-laion2B-s32B-b82K or siglip2-base-patch16-256?

At 4-bit, CLIP-ViT-L-14-laion2B-s32B-b82K fits on 1x MI300X from $1.85 an hour and siglip2-base-patch16-256 on 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.

Can I use CLIP-ViT-L-14-laion2B-s32B-b82K commercially?

Yes. CLIP-ViT-L-14-laion2B-s32B-b82K is released under MIT License. The MIT License is a short permissive license. It permits commercial use, modification and redistribution, provided the copyright notice and permission notice are included.

Can I use siglip2-base-patch16-256 commercially?

Yes. siglip2-base-patch16-256 is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.

Related Comparisons