voyage-multimodal-3.5 is a leading 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 dimen-multimodal-3.5 here: mongodb.com/products/platform/ai-search-and-retrieval/models
$0.06
Share of requests served without a server error. Client errors (4xx) do not count.
No optional parameters beyond the standard request.
Works with the OpenAI SDK pointed at our base URL. Every parameter is in the .
Tokens embedded per day on NagaAI.
voyage-multimodal-3.5 is a leading multimodal embedding model capable of vectorizing not only text, images, and video individually, but also content that interleaves all three modalities.
On NagaAI, voyage-multimodal-3.5 costs $0.06 per 1M tokens. You pay only for what you use, with no subscription.
It takes text and images as input and returns embeddings.
Create an API key, copy the model ID from the top of this page and send requests with the OpenAI SDK pointed at NagaAI. The API section on this page has a ready example.
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