Safeguard

Google

Gemini Embedding 2

google/gemini-embedding-2

Coming soon

Listed, not sold yet: the provider's resale terms are being confirmed.

Multimodal embedding model that maps text, images, video, audio and PDFs into one embedding space.

Price

Input
$0.2 per 1M tokens
Output
Price on request
Notes
Text input $0.20/1M. Image $0.45/1M ($0.00012 per image), audio $6.50/1M, video $12.00/1M. Output not billed.
Source
Google pricing , last verified October 8, 2026

No markup on model usage: you pay the provider's list price.

Model

Context
8K (8,192 tokens)
Modality
Embeddings
Input
text, image, video, audio, file
Output
embeddings
Weights
Closed
Released
April 22, 2026
Tags
embeddings, retrieval, multimodal

Data policy

Prompts go to
Google (Gemini Developer API)
Retention
Paid tier: prompts and responses not used to improve Google products, but logged for a limited period for abuse monitoring, free tier content may be used to improve products
Zero data retention
Not offered
Region
No region guarantee, data may be stored transiently or cached in any country where Google operates. Google points ZDR and enterprise processing needs to Vertex AI (Gemini Enterprise Agent Platform)

Summarised from the provider's published terms. The provider's own policy is what applies.

Call it with any OpenAI SDK

Available when the model is live

from openai import OpenAI

client = OpenAI(
    base_url="https://api.safeguard.sh/v1",
    api_key="SAFEGUARD_API_KEY",
)

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

Base URL https://api.safeguard.sh/v1, model google/gemini-embedding-2.

Self-healing security runs on Safeguard.

Your first fix PR is minutes away.

No sales call required, even your agent can complete the purchase over MCP.