Titan Embed Text V1 API Pricing
As of October 10, 2026, Titan Embed Text V1 costs $0.10 per 1M input tokens on Amazon Bedrock. It has an 8,192-token context window.
- Input
- $0.10 / 1M tokens
- Output
- $0 / 1M tokens
- Context window
- 8,192 tokens
- Providers
- 1
- Added to LiteLLM
- January 2024
Titan Embed Text V1 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 | Input | Output | Context |
|---|---|---|---|---|
| Amazon Bedrock | amazon.titan-embed-text-v1 | $0.10 | $0 | 8K |
| Amazon Bedrockus-gov-east-1 | bedrock/us-gov-east-1/amazon.titan-embed-text-v1 | $0.10 | $0 | 8K |
| Amazon Bedrockus-gov-west-1 | bedrock/us-gov-west-1/amazon.titan-embed-text-v1 | $0.10 | $0 | 8K |
What Titan Embed Text V1 costs in practice
Embedding 10,000 documents of 500 tokens each
| Amazon Bedrock | $0.50 |
Use Titan Embed Text V1 with LiteLLM
Call Titan Embed Text 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.
from litellm import embedding
response = embedding(
model="amazon.titan-embed-text-v1",
input=["hello world"],
)model_list:
- model_name: titan-embed-text-v1
litellm_params:
model: amazon.titan-embed-text-v1
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": "titan-embed-text-v1",
"input": "hello world"
}'Titan Embed Text V1 FAQ
How much does Titan Embed Text V1 cost?
Titan Embed Text V1 costs $0.10 per 1M input tokens on Amazon Bedrock.
What is the context window of Titan Embed Text V1?
Titan Embed Text V1 has an 8,192-token context window.
Which providers offer Titan Embed Text V1?
Titan Embed Text V1 is available from Amazon Bedrock through LiteLLM, using the model name amazon.titan-embed-text-v1.
How do I call Titan Embed Text V1 with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="amazon.titan-embed-text-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 Text V1?
Titan Embed Text V1 was added to LiteLLM's model price file in January 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.
LiteLLM docs: Amazon Bedrock.
Provider pages: Amazon Bedrock.
