Models Model details

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

Input
$0.12

/ 1M tokens · Token reference

Output
$0

/ 1M tokens · Token reference

Context window
32K

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

Publication status

Hugging Face: not mappedLicense: not publishedParameter count: not published

Modalities

Input · TextInput · ImageOutput · Embeddings