VoyageAI by MongoDB: voyage-multimodal-3.5: AI model
voyage-multimodal-3.5 is a multimodal embedding model for text, images and video from Voyage AI, with a 32K-token context. Reachable from inside Iran through Hormouz.
- Context window:
- 32,000 tokens
- Input:
- $0.12/1M tokens
- Output:
- $0/1M tokens
- Type:
- embedding
- Embeddings
voyage-multimodal-3.5 embeds text, images and video, and also content that mixes them, into one vector space. That makes it strong for searches over material such as PDF screenshots, figures, tables and video, where the meaning sits in both the words and the visuals. Embeddings come in 2048, 1024, 512 or 256 dimensions with several quantisation options.
The model handles up to 32K tokens of input per request. Through Hormouz it is served behind an OpenAI-compatible embeddings API: point your base URL at Hormouz and drop in a Hormouz key. Pricing is usage-based at $0.12 per million input tokens. There is no fixed monthly fee.
Hormouz provides stable access to the model from inside Iran, with no foreign credit card or circumvention tooling required.
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...
Quickstart
curl https://api.hormouz.net/v1/embeddings \
-H "Authorization: Bearer ng-YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"voyageai/voyage-multimodal-3.5","input":"The quick brown fox"}'Specs
| Vendor | Voyage AI |
|---|---|
| Type | Embedding |
| Context window | 32,000 tokens |
| Pricing | $0.12/M in · $0.00/M out |
| API | embeddings |
Code example
curl https://api.hormouz.net/v1/embeddings \
-H "Authorization: Bearer ng-YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"voyageai/voyage-multimodal-3.5","input":"The quick brown fox"}'from openai import OpenAI client = OpenAI(api_key="ng-YOUR_API_KEY", base_url="https://api.hormouz.net/v1") resp = client.embeddings.create(model="voyageai/voyage-multimodal-3.5", input="The quick brown fox") print(resp.data[0].embedding)
import OpenAI from "openai";
const client = new OpenAI({ apiKey: "ng-YOUR_API_KEY", baseURL: "https://api.hormouz.net/v1" });
const resp = await client.embeddings.create({
model: "voyageai/voyage-multimodal-3.5",
input: "The quick brown fox",
});
console.log(resp.data[0].embedding);Buy the VoyageAI by MongoDB: voyage-multimodal-3.5 API, paid in rial
- Buy credit with an Iranian bank card; no foreign card or account needed.
- One Hormouz key reaches VoyageAI by MongoDB: voyage-multimodal-3.5 and 600+ other models, and you pay only for what you use.
- No VPN and no risk of a banned account; just change the base URL to api.hormouz.net/v1.
Use via Hormouz
Connect to this model and 600+ others with one API key, then see usage down to each request.
Request company accessFAQ
- What is voyage-multimodal-3.5 and what is it good for?
- voyage-multimodal-3.5 is a multimodal embedding model for text, images and video. Typical uses are search over PDFs, slides and screenshots, image and video retrieval, and mixed text-and-visual knowledge bases.
- What context window does voyage-multimodal-3.5 have?
- It accepts up to 32K tokens per input.
- How much does voyage-multimodal-3.5 cost?
- Pricing is usage-based at $0.12 per million input tokens. There is no fixed monthly fee. You pay only for what you use.
- How do I access voyage-multimodal-3.5 from inside Iran?
- Create an account on Hormouz and generate an API key. Hormouz provides a stable path to the model from inside Iran, with no foreign credit card or circumvention tooling required.
- Is voyage-multimodal-3.5 compatible with the OpenAI embeddings API?
- Yes. Call the /v1/embeddings endpoint on Hormouz with your Hormouz key, using the same request shape as the OpenAI SDK.
Updated 2026-10-13