Amazon Titan Text Embeddings V2 on Vercel AI Gateway

Name: Amazon Titan Text Embeddings V2 on Vercel AI Gateway
Brand: Amazon Web Services (AWS) AI
SKU: titan-text-embeddings-v2-vercel-ai-gateway
Price: 0.02 USD

Titan · Amazon Web Services (AWS) AI

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

Why use Amazon Titan Text Embeddings V2 on Vercel AI Gateway?

Vercel AI Gateway offers Amazon Titan Text Embeddings V2 with pay-as-you-go pricing at $0.02/1M input tokens. Vercel AI Gateway is a unified AI proxy providing a single OpenAI-compatible API endpoint to 275+ models from 25+ providers including Anthropic, OpenAI, Google, Meta, Mistral, DeepSeek, xAI, Alibaba, Amazon, ByteDance, Cohere, MiniMax, MoonshotAI, KwaiPilot, Black Forest Labs, Recraft, Voyage AI, NVIDIA, and more.

Compare Amazon Titan Text Embeddings V2 across 2 providers to find the best fit for your use case

Input / 1M

$0.020

Output / 1M

Cache

Not sourced

Batch

Not sourced

Setup recipe

Python + curl

Install

pip install openai

Auth

export AI_GATEWAY_API_KEY=...

Call

import os
from openai import OpenAI
client = OpenAI(
    api_key=os.environ["AI_GATEWAY_API_KEY"],

Model ID

amazon/titan-embed-text-v2

Request example

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)

Gotchas

Use provider model ID "amazon/titan-embed-text-v2", not the LLMReference slug "titan-text-embeddings-v2".
creator/model-name e.g. kwaipilot/kat-coder-pro-v2
The examples expect AI_GATEWAY_API_KEY; rename it only if your application config maps the new variable.