Using Amazon Titan Text Embeddings V2 on Vercel AI Gateway

Implementation guide · Titan · Amazon Web Services (AWS) AI

Serverless

Vercel AI Gateway exposes Amazon Titan Text Embeddings V2 through model ID amazon/titan-embed-text-v2. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-06-29. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at Vercel AI Gateway and generate an API key.
  2. 2
    Use the Vercel AI Gateway SDK or REST API to call amazon/titan-embed-text-v2 — see the documentation for request format.
  3. 3
    You'll be billed $0.02/1M input. See full pricing.
API PortalDocumentationPricingModel Card

Code Examples

Install
pip install openai
API key
AI_GATEWAY_API_KEY
Model ID
amazon/titan-embed-text-v2

creator/model-name e.g. kwaipilot/kat-coder-pro-v2

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["AI_GATEWAY_API_KEY"],
    base_url="https://ai-gateway.vercel.sh/v1"
)
response = client.chat.completions.create(
    model="amazon/titan-embed-text-v2",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Pricing on Vercel AI Gateway

TypePrice (per 1M)
Input tokens$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.

Full model details →

Model Specs

Released2024-01-01

Also available on(1)

AWS Bedrock
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Provider

Vercel AI Gateway

Vercel