LiteLLMModels

Multimodalembedding API Pricing

As of October 10, 2026, Multimodalembedding costs $0.80 per 1M input tokens on Google Vertex AI. It has a 2,048-token context window.

By GoogleModel ID vertex_ai/multimodalembeddingPrices updated Checked
Per 1M characters
$0.20
Input
$0.80 / 1M tokens
Output
$0 / 1M tokens
Context window
2,048 tokens
Providers
1
Added to LiteLLM
April 2025

Multimodalembedding pricing by provider

2 listings across 1 provider. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.

ProviderModel name in LiteLLMPer 1M charsInputOutputContext
Google Vertex AIvertex_ai/multimodalembedding$0.20$0.80$02K
Google Vertex AIvertex_ai/multimodalembedding@001$0.20$0.80$02K

Other Multimodalembedding prices on Google Vertex AI

Input image$0.0001 per image

What Multimodalembedding costs in practice

Embedding 10,000 documents of 500 tokens each

Google Vertex AI$4.00

Multimodalembedding features

Input: text, image, video.

Use Multimodalembedding with LiteLLM

Call Multimodalembedding through the LiteLLM Python SDK, or put it behind the LiteLLM proxy and send OpenAI-format requests to /v1/embeddings. LiteLLM tracks the cost of every request at these prices.

Python SDK
from litellm import embedding

response = embedding(
    model="vertex_ai/multimodalembedding",
    input=["hello world"],
)
Proxy config.yaml
model_list:
  - model_name: multimodalembedding
    litellm_params:
      model: vertex_ai/multimodalembedding
      vertex_project: os.environ/VERTEX_PROJECT
      vertex_location: os.environ/VERTEX_LOCATION
Call the proxy
curl http://0.0.0.0:4000/v1/embeddings \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-1234" \
  -d '{
    "model": "multimodalembedding",
    "input": "hello world"
  }'

Multimodalembedding FAQ

How much does Multimodalembedding cost?

Multimodalembedding costs $0.80 per 1M input tokens on Google Vertex AI.

What is the context window of Multimodalembedding?

Multimodalembedding has a 2,048-token context window.

Which providers offer Multimodalembedding?

Multimodalembedding is available from Google Vertex AI through LiteLLM, using the model name vertex_ai/multimodalembedding.

How do I call Multimodalembedding with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="vertex_ai/multimodalembedding", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/embeddings from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.

When did LiteLLM add Multimodalembedding?

Multimodalembedding was added to LiteLLM's model price file in April 2025.

Sources

Prices come from LiteLLM's open-source model_prices_and_context_window.json, which LiteLLM uses to calculate the cost of every request. Provider pricing pages:

LiteLLM docs: Google Vertex AI.

Provider pages: Google Vertex AI.