dinov3-large

by facebook

Next-generation self-supervised vision model with Gram anchoring and 6.7B scaling

450Kdl/month

300M (Large), 6.7B (ViT-7B)params

Source Use in Pipeline

Identifiers

Model ID

facebook/dinov3-large

Feature URI

mixpeek://image_extractor@v1/facebook_dinov3_large_v1

Overview

DINOv3 is Meta AI's successor to DINOv2, introducing Gram anchoring to solve dense feature degradation during long training schedules. It scales up to 6.7B parameters (ViT-7B) and trains on 1.7 billion web images plus 493M satellite images, making it the most versatile vision foundation model available.

On Mixpeek, DINOv3 delivers state-of-the-art visual features for tasks ranging from classification and segmentation to satellite/aerial imagery analysis, all without fine-tuning.

Architecture

Vision Transformer with patch size 16. Scales from ViT-S (21M) to ViT-7B (6.7B params). Introduces Gram anchoring to stabilize dense features during extended training. Also distills into ConvNeXt backbones. Supports flexible resolution and post-hoc text alignment.

Mixpeek SDK Integration

import { Mixpeek } from "mixpeek";

const mx = new Mixpeek({ apiKey: "API_KEY" });

await mx.collections.ingest({
  collection_id: "my-collection",
  source: { url: "https://example.com/satellite.tiff" },
  feature_extractors: [{
    name: "image_embedding",
    version: "v1",
    params: { model_id: "facebook/dinov3-large" }
  }]
});