LiteLLMModels

Titan Embed Image V1 API Pricing

As of October 10, 2026, Titan Embed Image V1 costs $0.80 per 1M input tokens on Amazon Bedrock. It has a 128-token context window.

By AmazonModel ID amazon.titan-embed-image-v1Prices updated Checked
Input
$0.80 / 1M tokens
Output
$0 / 1M tokens
Context window
128 tokens
Providers
1
Added to LiteLLM
October 2024

Titan Embed Image V1 pricing by provider

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

ProviderModel name in LiteLLMInputOutputContext
Amazon Bedrockamazon.titan-embed-image-v1$0.80$0128

Other Titan Embed Image V1 prices on Amazon Bedrock

Input image$0.00006 per image

What Titan Embed Image V1 costs in practice

Embedding 10,000 documents of 500 tokens each

Amazon Bedrock$4.00

Use Titan Embed Image V1 with LiteLLM

Call Titan Embed Image V1 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="amazon.titan-embed-image-v1",
    input=["hello world"],
)
Proxy config.yaml
model_list:
  - model_name: titan-embed-image-v1
    litellm_params:
      model: amazon.titan-embed-image-v1
      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": "titan-embed-image-v1",
    "input": "hello world"
  }'

Titan Embed Image V1 FAQ

How much does Titan Embed Image V1 cost?

Titan Embed Image V1 costs $0.80 per 1M input tokens on Amazon Bedrock.

What is the context window of Titan Embed Image V1?

Titan Embed Image V1 has a 128-token context window.

Which providers offer Titan Embed Image V1?

Titan Embed Image V1 is available from Amazon Bedrock through LiteLLM, using the model name amazon.titan-embed-image-v1.

How do I call Titan Embed Image V1 with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="amazon.titan-embed-image-v1", 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 Titan Embed Image V1?

Titan Embed Image V1 was added to LiteLLM's model price file in October 2024.

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: Amazon Bedrock.

Provider pages: Amazon Bedrock.