VoyageAI
VoyageAI by MongoDB: voyage-multimodal-3.5
voyageai/voyage-multimodal-3.5
voyage-multimodal-3.5 is a state-of-the-art multimodal embedding model capable of vectorizing not only text, images, and video individually, but also content that interleaves all three modalities. It delivers excellent performance for mixed-modality searches involving text and visual content such as PDF screenshots, figures, tables, videos, and more. Enabled by Matryoshka learning and quantization-aware training, voyage-multimodal-3.5 supports embeddings in 2048, 1024, 512, and 256 dimensions, with multiple quantization options. Learn more about voyage-multimodal-3.5 here: blog.voyageai.com/2026/01/15/voyage-multimodal-3-5
/ 1M tokens · Token reference
/ 1M tokens · Token reference
tokens
Embeddings output · Token reference fields do not establish an output-unit price.
Limits
Context
32,000
tokens
Max output
28,800
90% of the context window
Model facts
Author
VoyageAI
Tokenizer
Other
Modality
Text + Image -> Embeddings
Created
Jul 27, 2026