Skip to main content
Watch: I Built an AI App Without Leaving Databricks

Voyage AI - API - verified

Voyage Multimodal 3.5 embeddings

Voyage Multimodal 3.5 is a current embedding model from Voyage AI, called by API as voyage-multimodal-3.5. It returns 1,024-dimension vectors by default and accepts up to 32,000 input tokens, for text, image and video input. The first-party list price is $0.12 per 1M input tokens.

CurrentModel id: voyage-multimodal-3.5

Default dims
1,024
Max input
32,000 tok
Price / 1M
$0.12
Inputs
Text, Image, Video

Dimensions

Flexible output size
  • 2,048
  • 1,024default
  • 512
  • 256

Default output: 1,024 dimensions.

Listed sizes: 2,048, 1,024, 512 and 256.

Voyage AI documents shorter output vectors for this model (Matryoshka-style), so you can store smaller embeddings by asking for fewer dimensions instead of re-embedding with another model.

Pricing

Per 1M input tokens
$0.12
Batch, per 1M
Not stated

$0.12 per 1M text tokens plus $0.60 per billion pixels; first 200M text tokens and 150B pixels free.

Source: docs.voyageai.com/docs/pricing

Usage

Copied verbatim from the page linked below. Placeholders such as project ids and API keys are the source's own.

Python
import voyageai
from voyageai.video_utils import Video
import PIL

vo = voyageai.Client()
# This will automatically use the environment variable VOYAGE_API_KEY.
# Alternatively, you can use vo = voyageai.Client(api_key="<your secret key>")

# Example input containing a text string, Image object, and Video object
inputs = [
    ["This is a banana.", PIL.Image.open("banana.jpg"), Video.from_path("banana.mp4", model="voyage-multimodal-3.5")]
]

# Vectorize inputs
result = vo.multimodal_embed(inputs, model="voyage-multimodal-3.5")
print(result.embeddings)

Source: docs.voyageai.com/docs/multimodal-embeddings

Worth knowing

Vectorizes interleaved text, images and video through a single backbone for mixed-modality retrieval over screenshots, slides, tables and figures.

Release date not stated in the sources. Multilingual: not stated.

FAQ

How many dimensions does Voyage Multimodal 3.5 output?

Default output: 1,024 dimensions. Listed sizes: 2,048, 1,024, 512 and 256. Voyage AI documents shorter output vectors for this model (Matryoshka-style), so you can store smaller embeddings by asking for fewer dimensions instead of re-embedding with another model.

What is the max input length of Voyage Multimodal 3.5?

32,000 tokens per input, per Voyage AI's documentation. Longer text has to be chunked before you embed it.

How much does Voyage Multimodal 3.5 cost?

The first-party list price is $0.12 per 1M input tokens. $0.12 per 1M text tokens plus $0.60 per billion pixels; first 200M text tokens and 150B pixels free. Source: https://docs.voyageai.com/docs/pricing.

What can Voyage Multimodal 3.5 embed?

Text, image and video input, per the provider.

Sources

Last verified from the pages below.

More Voyage AI embedding models

Default dimensions, max input tokens and list price per 1M tokens.

All embedding models

Newsletter

New models, every week

One email per week. New model releases, embedding and retrieval updates and what they mean for what you build.