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Voyage Multimodal 3.5

Ready
model path:accounts/fireworks/models/voyage-multimodal-3-5
Deploy on demand

Voyage Multimodal 3.5 is a next-generation multimodal embedding model built for retrieval over text, images, and videos. It embeds interleaved text and images (screenshots, PDFs, tables, figures, slides), and adds explicit support for video frames.

Voyage Multimodal 3.5 API Features

On-demand Deployment

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On-demand deployments allow you to use Voyage Multimodal 3.5 on dedicated GPUs with Fireworks' high-performance serving stack with high reliability and no rate limits.

Metadata

State
Ready
Created on
15 JUN, 2026
Kind
Embedding model
Provider
Voyage AI by MongoDB
Huggingface
voyageai/voyage-multimodal-3.5

Specifications

Calibrated
No
Mixture-of-Experts
No

Supporting Functionality

Fine-tuning
Not Supported
Serverless
Not Supported
Context Length
32.7k tokens
Function Calling
Not Supported
Embeddings
Supported
Rerankers
Not Supported
Supporting image input
Supported

FAQs

voyage-multimodal-3.5 supports retrieval across text, images, screenshots, PDFs, figures, tables, slides, and videos. It is especially useful for datasets where documents combine text and visual information.