LiteLLMModels

Marengo Embed 3.0 API Pricing

As of October 10, 2026, Marengo Embed 3.0 costs $0 per 1M tokens on Amazon Bedrock. It has a 500-token context window.

Model ID twelvelabs.marengo-embed-3-0-v1:0Prices updated Checked
Output
$0 / 1M tokens
Context window
500 tokens
Providers
1
Added to LiteLLM
September 9, 2026

Marengo Embed 3.0 pricing by provider

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

ProviderModel name in LiteLLMOutputPer 1K queriesContext
Amazon Bedrocktwelvelabs.marengo-embed-3-0-v1:0$0$0.07500
Amazon BedrockEU cross-regioneu.twelvelabs.marengo-embed-3-0-v1:0$0$0.07500
Amazon BedrockUS cross-regionus.twelvelabs.marengo-embed-3-0-v1:0$0$0.07500

Other Marengo Embed 3.0 prices on Amazon Bedrock

Input image$0.0001 per image

Use Marengo Embed 3.0 with LiteLLM

Call Marengo Embed 3.0 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="twelvelabs.marengo-embed-3-0-v1:0",
    input=["hello world"],
)
Proxy config.yaml
model_list:
  - model_name: marengo-embed-3-0
    litellm_params:
      model: twelvelabs.marengo-embed-3-0-v1:0
      aws_region_name: os.environ/AWS_REGION_NAME
Call the proxy
curl http://0.0.0.0:4000/v1/embeddings \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-1234" \
  -d '{
    "model": "marengo-embed-3-0",
    "input": "hello world"
  }'

Marengo Embed 3.0 FAQ

How much does Marengo Embed 3.0 cost?

Marengo Embed 3.0 costs $0 per 1M tokens on Amazon Bedrock.

What is the context window of Marengo Embed 3.0?

Marengo Embed 3.0 has a 500-token context window.

Which providers offer Marengo Embed 3.0?

Marengo Embed 3.0 is available from Amazon Bedrock through LiteLLM, using the model name twelvelabs.marengo-embed-3-0-v1:0.

How do I call Marengo Embed 3.0 with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="twelvelabs.marengo-embed-3-0-v1:0", 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 Marengo Embed 3.0?

Marengo Embed 3.0 was added to LiteLLM's model price file on September 9, 2026.

Sources

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

LiteLLM docs: Amazon Bedrock.

Provider pages: Amazon Bedrock.