voyage-multimodal-3.5
Model Information
| Slug | voyage-multimodal-3-5 |
|---|---|
| LLMs.txt | View |
| Release Date | July 27, 2026 New |
Organization
| Name | VoyageAI by MongoDB |
|---|
Model Description
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](https://blog.voyageai.com/2026/01/15/voyage-multimodal-3-5)
Available at 3 Providers
| Provider | Type | Model Name | Original Model | Input ($/1M) | Output ($/1M) | Free | Actions | |
|---|---|---|---|---|---|---|---|---|
|
Nous Research |
VoyageAI by MongoDB: voyage-multimodal-3.5
|
voyageai/voyage-multimodal-3.5
|
$0.10 | $0.00 | |||
|
OpenRouter |
Chat
Code
|
voyage-multimodal-3.5
|
voyageai/voyage-multimodal-3.5
|
$0.12 | $0.00 | ||
|
Fireworks AI |
Voyage Multimodal 3.5
|
voyage-multimodal-3-5
|
- | - |