LLM Reference

Gemini Embedding 2 on Vercel AI Gateway

Gemini Embedding · Google DeepMind

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Last refreshed 2026-05-22. Next refresh: weekly.

Why use Gemini Embedding 2 on Vercel AI Gateway?

Vercel AI Gateway offers Gemini Embedding 2 with pay-as-you-go pricing at $0.20/1M 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 Gemini Embedding 2 across 2 providers to find the best fit for your use case
Input / 1M
$0.20
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
google/gemini-embedding-2

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="google/gemini-embedding-2",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Gotchas

  • Use provider model ID "google/gemini-embedding-2", not the LLMReference slug "gemini-embedding-2".
  • 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.

Compare Gemini Embedding 2 Across Providers

ProviderInput (per 1M)Output (per 1M)
Google AI Studio$0.20Free
Vercel AI Gateway$0.20

Pricing

TypePrice (per 1M)
Input tokens$0.20

Capabilities

VisionMultimodalAudio

About Gemini Embedding 2

General availability release of Google's multimodal embedding model, released April 22, 2026. Generates 3072-dimensional vectors from text, images, documents, audio, and video inputs, mapping all modalities into a unified semantic space. Supports custom task instructions to optimize embeddings for retrieval, classification, clustering, or other goals. Output dimensionality is configurable via the output_dimensionality parameter. Priced at $0.20/1M input tokens. Distinct from gemini-embedding-2-preview (the earlier preview version). API ID: gemini-embedding-2.

FAQ

How does Vercel AI Gateway compare to other Gemini Embedding 2 providers?

Gemini Embedding 2 is available from 2 providers. The cheapest input pricing is $0.2/1M tokens from Google AI Studio.

What API model ID do I use for Gemini Embedding 2 on Vercel AI Gateway?

Use the model ID google/gemini-embedding-2 when calling Vercel AI Gateway's API.

Who created Gemini Embedding 2?

Gemini Embedding 2 was created by Google DeepMind as part of the Gemini Embedding model family.

Is Gemini Embedding 2 open source?

Gemini Embedding 2 is not open source; the seed data lists it as proprietary.

Get Started

Model Specs

Released2026-04-22

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