Last refreshed 2026-05-19. Next refresh: weekly.
Why use Amazon Titan Text Embeddings V2 on AWS Bedrock?
AWS Bedrock offers Amazon Titan Text Embeddings V2 with competitive pricing. AWS Bedrock is Amazon's fully managed foundation-model service, providing unified API access to top models from Anthropic, Meta, Mistral, and other leading AI labs with built-in tools for RAG, fine-tuning, and AI agent development.
Compare Amazon Titan Text Embeddings V2 across 2 providers to find the best fit for your use caseSetup recipe
Python + curlpip install boto3export AWS_ACCESS_KEY_ID=...import boto3
client = boto3.client("bedrock-runtime", region_name="us-east-1")
response = client.converse(
modelId="titan-text-embeddings-v2",titan-text-embeddings-v2Request example
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-embeddings-v2",
messages=[{
"role": "user",
"content": [{"text": "Hello"}]
}]
)
print(response["output"]["message"]["content"][0]["text"])Gotchas
- Use 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.
- The endpoint template includes a region segment; set the same region in your SDK/client configuration.
- The examples expect AWS_ACCESS_KEY_ID; rename it only if your application config maps the new variable.
Compare Amazon Titan Text Embeddings V2 Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| AWS Bedrock | — | — |
| Vercel AI Gateway | $0.02 | — |
Capabilities
No model capability flags are currently sourced.
About Amazon Titan Text Embeddings V2
Amazon Titan Text Embeddings V2 is Amazon's Titan model. It was released 2024-01-01.
FAQ
How does AWS Bedrock compare to other Amazon Titan Text Embeddings V2 providers?
Amazon Titan Text Embeddings V2 is available from 2 providers. The cheapest input pricing is $0.02/1M tokens from Vercel AI Gateway.
Who created Amazon Titan Text Embeddings V2?
Amazon Titan Text Embeddings V2 was created by Amazon Web Services (AWS) AI as part of the Titan model family.
Is Amazon Titan Text Embeddings V2 open source?
Amazon Titan Text Embeddings V2 is not open source; the seed data lists it as proprietary.