Marengo Embed 2.7 API Pricing
As of October 10, 2026, Marengo Embed 2.7 costs $0 per 1M tokens on Amazon Bedrock. It has a 77-token context window.
twelvelabs.marengo-embed-2-7-v1:0.- Output
- $0 / 1M tokens
- Context window
- 77 tokens
- Providers
- 1
- Added to LiteLLM
- September 2025
Marengo Embed 2.7 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.
| Provider | Model name in LiteLLM | Output | Per 1K queries | Context |
|---|---|---|---|---|
| Amazon Bedrock | twelvelabs.marengo-embed-2-7-v1:0 | $0 | $0.07 | 77 |
| Amazon BedrockEU cross-region | eu.twelvelabs.marengo-embed-2-7-v1:0 | $0 | $0.07 | 77 |
| Amazon BedrockUS cross-region | us.twelvelabs.marengo-embed-2-7-v1:0 | $0 | $0.07 | 77 |
Other Marengo Embed 2.7 prices on Amazon Bedrock
| Input image | $0.0001 per image |
Use Marengo Embed 2.7 with LiteLLM
Call Marengo Embed 2.7 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.
from litellm import embedding
response = embedding(
model="twelvelabs.marengo-embed-2-7-v1:0",
input=["hello world"],
)model_list:
- model_name: marengo-embed-2-7
litellm_params:
model: twelvelabs.marengo-embed-2-7-v1:0
aws_region_name: os.environ/AWS_REGION_NAMEcurl http://0.0.0.0:4000/v1/embeddings \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-1234" \
-d '{
"model": "marengo-embed-2-7",
"input": "hello world"
}'Marengo Embed 2.7 FAQ
How much does Marengo Embed 2.7 cost?
Marengo Embed 2.7 costs $0 per 1M tokens on Amazon Bedrock.
What is the context window of Marengo Embed 2.7?
Marengo Embed 2.7 has a 77-token context window.
Which providers offer Marengo Embed 2.7?
Marengo Embed 2.7 is available from Amazon Bedrock through LiteLLM, using the model name twelvelabs.marengo-embed-2-7-v1:0.
How do I call Marengo Embed 2.7 with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="twelvelabs.marengo-embed-2-7-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 2.7?
Marengo Embed 2.7 was added to LiteLLM's model price file in September 2025.
Is Marengo Embed 2.7 being deprecated?
Amazon Bedrock lists a deprecation date of November 30, 2026 for twelvelabs.marengo-embed-2-7-v1:0.
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.