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GCP Vertex AI

MedSigLIP on GCP Vertex AI

Gemma 3 · Google DeepMind

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Last refreshed 2026-05-11. Next refresh: weekly.

Why use MedSigLIP on GCP Vertex AI?

GCP Vertex AI offers MedSigLIP with free input token pricing. Vertex AI is Google Cloud's managed AI platform, offering access to Gemini models and hundreds of partner models alongside tools for fine-tuning, grounding, vector search, and end-to-end MLOps pipelines.

Input / 1M
Free
Output / 1M
Free
Cache
Not sourced
Batch
Not sourced

Setup recipe

Python + curl
Install
pip install google-cloud-aiplatform
Auth
export GOOGLE_CLOUD_PROJECT=...
Call
import os
import vertexai
from vertexai.generative_models import GenerativeModel
vertexai.init(project=os.environ["GOOGLE_CLOUD_PROJECT"], location="us-central1")
Model ID
medsiglip

Request example

import os
import vertexai
from vertexai.generative_models import GenerativeModel

# Reads GOOGLE_CLOUD_PROJECT from env; authenticates via Application Default Credentials
vertexai.init(project=os.environ["GOOGLE_CLOUD_PROJECT"], location="us-central1")
model = GenerativeModel("medsiglip")
response = model.generate_content("Hello")
print(response.text)

Gotchas

  • For Google-published models use the model name directly, e.g. "gemini-2.0-flash-001". For third-party publishers (Anthropic, Meta, etc.) use the full publisher path, e.g. "publishers/anthropic/models/claude-3-5-sonnet-v2@20241022".
  • The examples expect GOOGLE_CLOUD_PROJECT; rename it only if your application config maps the new variable.

Pricing

TypePrice (per 1M)
Input tokensFree
Output tokensFree

Capabilities

VisionMultimodalFunction CallingTool UseStructured Outputs

About MedSigLIP

Medical variant of SigLIP model for medical image-text understanding.

FAQ

What does MedSigLIP cost on GCP Vertex AI?

On GCP Vertex AI, MedSigLIP costs $0 per 1M input tokens and $0 per 1M output tokens.

Who created MedSigLIP?

MedSigLIP was created by Google DeepMind as part of the Gemma 3 model family.

Is MedSigLIP open source?

MedSigLIP is not open source; the seed data lists it as proprietary.

Get Started

Model Specs

Released2024-07-01
ArchitectureDecoder Only

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Provider

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