---
id: "amazon/titan-embed-text-v2"
also: ["amazon/titan-embed-text-v2-20261026", "vercel/amazon/titan-embed-text-v2"]
cheapest_list_usd_per_m: "0.02 in, 0.0 out, at amazon-bedrock on openrouter"
cheapest_effective_usd_per_m: "0.0196 in, 0.0 out, at amazon-bedrock on openrouter"
context: 8192
max_output: 7372
input: ["text"]
output: ["embeddings"]
released: "2026-10-26"
api: ["/api/v1/embeddings"]
params: ["max_tokens", "stop", "temperature"]
endpoints: 2
gateways: "openrouter (1), vercel (1)"
no_training: 2
trains: 0
retains_prompts: 0
---
# Amazon: Titan Text Embeddings V2

Amazon Titan Text Embeddings V2 is a text embedding model for retrieval, search, and clustering. It accepts up to 8,192 tokens per input and returns normalized vectors of 1,024 dimensions...