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DINOv2

DINOv2 is an AI model made by Meta. Meta released it on 17 April 2023. It is generally available. Its weights are open. Its licence is Apache 2.0.

Meta

Released
17 April 2023 — ai.meta.com, read 16 October 2026
Status
Generally available — ai.meta.com, read 16 October 2026
Takes
Image — github.com, read 16 October 2026
Returns
Not confirmed: The model card says the model returns class, patch, and optionally register tokens. These feature tokens are not among the register's output categories (text, image, audio, video, code).
Open weights
Yes — github.com, read 16 October 2026
Licence
Apache 2.0 — ai.meta.com, read 16 October 2026
Context window
Not confirmed: The maker's model card and documentation reviewed do not state a context-window size for DINOv2.
Longest answer
Not confirmed: The maker's model card and documentation reviewed do not state a maximum answer or output-token limit for DINOv2.
Knowledge cutoff
Not confirmed: The maker's model card and documentation reviewed do not state a knowledge-cutoff date for DINOv2.
API price, input
Not confirmed: No standard API input-token price for DINOv2 is stated on the maker's pages reviewed.
API price, output
Not confirmed: No standard API output-token price for DINOv2 is stated on the maker's pages reviewed.
Where
Not confirmed: two readings disagree: app, weights and weights
Parameters
Not confirmed: DINOv2 is presented as a family of models with different parameter counts, not one count for the family: the maker lists ViT-S, ViT-B, ViT-L, and ViT-g variants.
Model card
https://github.com/facebookresearch/dinov2/blob/main/MODEL_CARD.md — github.com, read 16 October 2026

Questions

When was DINOv2 released?

Meta released DINOv2 on 17 April 2023.

Is DINOv2 still available?

Yes: it is generally available, as Meta states it.

Are the weights of DINOv2 open?

Yes: Meta publishes the weights of DINOv2 for download.

What is the licence of DINOv2?

The licence of DINOv2 is Apache 2.0, as Meta names it.

More from Meta

Sources

  1. DINOv2: State-of-the-art computer vision models with self-supervised learning (read 16 October 2026)
  2. Evaluating the fairness of computer vision models (read 16 October 2026)
  3. Model Card for DINOv2-S/B/L/g (read 16 October 2026)
  4. README.md (read 16 October 2026)

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