LLM ReferenceLLM Reference
GCP Vertex AI

Gemini 3.1 Pro Preview on GCP Vertex AI

Gemini 3.1 · Google DeepMind

Serverless

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

Why use Gemini 3.1 Pro Preview on GCP Vertex AI?

GCP Vertex AI offers Gemini 3.1 Pro Preview with pay-as-you-go pricing at $2.00/1M input tokens. 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.

Compare Gemini 3.1 Pro Preview across 4 providers to find the best fit for your use case
Input / 1M
$2.00
Output / 1M
$12.00
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
gemini-3.1-pro-preview

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("gemini-3.1-pro-preview")
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.

Compare Gemini 3.1 Pro Preview Across Providers

ProviderInput (per 1M)Output (per 1M)
Google AI Studio$2.00$12.00
GCP Vertex AI$2.00$12.00
OpenRouter$2.00$12.00
Replicate API$2.00$12.00

Pricing

TypePrice (per 1M)
Input tokens$2.00
Output tokens$12.00

Capabilities

VisionMultimodalFunction CallingTool UseStructured OutputsCode Execution

About Gemini 3.1 Pro Preview

Google: Gemini 3.1 Pro Preview available via OpenRouter. Pricing: $2/1M input, $12/1M output.

FAQ

What does Gemini 3.1 Pro Preview cost on GCP Vertex AI?

On GCP Vertex AI, Gemini 3.1 Pro Preview costs $2.00 per 1M input tokens and $12.00 per 1M output tokens.

What is the context window for Gemini 3.1 Pro Preview on GCP Vertex AI?

Gemini 3.1 Pro Preview supports a 1,000,000 token context window on GCP Vertex AI.

How does GCP Vertex AI compare to other Gemini 3.1 Pro Preview providers?

Gemini 3.1 Pro Preview is available from 4 providers. The cheapest input pricing is $2.00/1M tokens from Google AI Studio.

Who created Gemini 3.1 Pro Preview?

Gemini 3.1 Pro Preview was created by Google DeepMind as part of the Gemini 3.1 model family.

Is Gemini 3.1 Pro Preview open source?

Gemini 3.1 Pro Preview's open source status is unknown in the seed data.

Get Started

Model Specs

Released2026-02-19
Context1M
ArchitectureDecoder Only
Knowledge cutoff2025-01

Provider

GCP Vertex AI
GCP Vertex AI

Google Cloud Platform (GCP)

All models on GCP Vertex AI