Using Titan Text Premier on AWS Bedrock
Implementation guide · Titan · Amazon Web Services (AWS) AI
AWS Bedrock exposes Titan Text Premier through model ID titan-text-premier. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-06-15. Next refresh: weekly.
Quick Start
- 1
- 2Use the AWS Bedrock SDK or REST API to call
titan-text-premier— see the documentation for request format. - 3
Code Examples
pip install boto3AWS_ACCESS_KEY_IDtitan-text-premierUse Amazon Bedrock model IDs, e.g. "anthropic.claude-3-opus-20240229-v1:0" for on-demand, or cross-region inference profile IDs like "us.anthropic.claude-opus-4-7-20251101-v1:0". These differ from the public model slug.
import boto3
# Reads AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_DEFAULT_REGION from env
client = boto3.client("bedrock-runtime", region_name="us-east-1")
response = client.converse(
modelId="titan-text-premier",
messages=[{
"role": "user",
"content": [{"text": "Hello"}]
}]
)
print(response["output"]["message"]["content"][0]["text"])Pricing on AWS Bedrock
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.50 |
| Output tokens | $1.50 |
Capabilities
About Titan Text Premier
Amazon Titan Text Premier is a sophisticated large language model tailored for enterprise-level text generation, part of the Amazon Titan family accessible exclusively through Amazon Bedrock. It boasts an impressive context length of up to 32,000 tokens, ideal for complex English language tasks. The model integrates seamlessly with Amazon Bedrock Agents and Knowledge Bases, supporting functionalities like text and code generation, summarization, and conversational AI. It excels in retrieval-augmented generation, enhancing responses by utilizing external knowledge bases.