Titan Text Embeddings V2
Amazon · Active · available in 19 of 31 regions
- Context window
- 8K
- 8,192 tokens
- Max output
- —
- Input / 1M
- —
- Output / 1M
- —
What Titan Text Embeddings V2 is good for
editorialAn embedding model: it turns text into vectors for search and clustering, and does not generate text.
Suits
- Retrieval. Indexing a corpus for semantic search or deduplication.
- Chunk size. Accepts up to 8K tokens per call, which sets how large your chunks can be.
Think twice if
- Not for generation. It cannot answer questions or write text — pair it with a text model.
This section is judgement, not data from AWS. It is composed from the capabilities, context window, price position and region coverage shown elsewhere on this page — so it stays in step with the daily snapshot rather than going stale.
Where teams typically use it
Embeddings
Turning text into vectors for search, clustering and deduplication. Priced per input token, with no output cost.
- · Semantic search across a knowledge base where keyword search keeps missing synonyms.
- · Deduplicating a CRM by finding records that describe the same company under different names.
- · Clustering support tickets to see which themes are actually growing.
Model & inference profile IDs
Base model ID — direct on-demand invoke
Pricing by region
USD per 1M tokensNo published token pricing
The AWS Price List API publishes no token SKU for this model, and it is not in our curated overlay. This is common for embedding, image and video models, which bill per request or per second rather than per token.
Check the AWS pricing page →Region availability
TPM / RPM are default account quotas from AWS Service Quotas where a model-specific limit is published. They are per-account defaults and adjustable on request.
Where this model actually runs
Under a strict residency constraint, Titan Text Embeddings V2 can be served without the request leaving 16 of the 25 jurisdictions with a Bedrock region.
Titan Text Embeddings V2 appears in
Common questions
- Which AWS regions support Titan Text Embeddings V2?
- 19 of 31 regions: us-east-1, us-east-2, us-west-2, ca-central-1, eu-west-1, eu-west-2, eu-west-3, eu-central-1, eu-central-2, eu-north-1, eu-south-1, eu-south-2, ap-northeast-1, ap-northeast-2, ap-northeast-3, ap-south-1, ap-south-2, ap-southeast-2, sa-east-1.
- What is the context window of Titan Text Embeddings V2?
- 8,192 tokens (8K).
- What is the model ID for Titan Text Embeddings V2 on Bedrock?
- amazon.titan-embed-text-v2:0.