SAVRN Model Hub · Comparisons
siglip2-base-patch16-224 vs siglip2-base-patch16-256
Siglip2-base-patch16-224 has 375M parameters and siglip2-base-patch16-256 has 375M parameters; both are released under Apache License 2.0; at 16-bit, siglip2-base-patch16-224 needs about 0.9 GB (1x MI300X from $1.85 an hour) and siglip2-base-patch16-256 about 0.9 GB (1x MI300X from $1.85 an hour).
| Field | siglip2-base-patch16-224 google/siglip2-base-patch16-224 | siglip2-base-patch16-256 google/siglip2-base-patch16-256 |
|---|---|---|
| Publisher | ||
| Task | Zero shot image classification | Zero shot image classification |
| Modality | Other | Other |
| Parameters, as reported | 375M parameters | 375M parameters |
| Architecture | siglip | siglip |
| Library | transformers | transformers |
| Context length | Not stated | Not stated |
| Repository size | 1.5 GB | 1.5 GB |
| Artifact formats | safetensors | safetensors |
| License | apache-2.0 | apache-2.0 |
| Access | Open weights, no gate | Open weights, no gate |
| Memory at 16-bit (weights and margin) | 0.9 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) | 0.2 GB | 0.2 GB |
| Cheapest GPUs at 4-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Revision viewed | 75de2d55ec2d | 3f9f96cb90da |
| Downloads reported by the hub | 1.6M | 3.9M |
| Last observed | 2026-09-21 | 2026-09-21 |
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 siglip2-base-patch16-224
Hand it an image and a list of candidate labels and it scores them; Google also names image-text retrieval and vision-encoder duty inside a VLM. At 375M parameters, siglip2-base-patch16-224 needs 0.9 GB at 16-bit and 0.2 GB at 4-bit, so the cheapest card in our Index, one MI300X with 192 GB at $1.85 an hour, would sit nearly idle serving it alone. We would keep it at 16-bit on a card already doing other work.
Apache 2.0 permits commercial use, modification and redistribution, includes an express patent grant, and asks you to keep the license and NOTICE file and state significant changes, so fine-tuning is within bounds. No context length appears here because it is not a language model. The 1.5 GB of safetensors is open access, and three papers describe the recipe; read the SigLIP 2 paper before deciding.
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, siglip2-base-patch16-224 or siglip2-base-patch16-256?
siglip2-base-patch16-256 (375M parameters) is larger than siglip2-base-patch16-224 (375M parameters), by the parameter counts their publishers report.
Which is cheaper to run, siglip2-base-patch16-224 or siglip2-base-patch16-256?
At 4-bit, siglip2-base-patch16-224 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 siglip2-base-patch16-224 commercially?
Yes. siglip2-base-patch16-224 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.
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.