Vertex AI: Gemini 1.5 Pro

Name: Gemini 1.5 Pro API
Brand: Google

stable

Gemini 1.5 Pro is available through Everstack's OpenAI-compatible gateway with routing, fallback, retries, and observability.

gemini-1.5-progemini

Provider Quick start

Context

1.0M

tokens

Max output

8.2K

tokens

Input

$1.25

per 1M

Output

$5.00

per 1M

Activity

Daily period usage

Aggregated managed Everstack traffic. Buckets below 5 tenants or 100 requests are withheld.

Providers

ProviderContextInput /MOutput /M

Pricing

Item	Price	Unit
Input	$1.25	per 1M tokens
Output	$5.00	per 1M tokens

Performance

Reliability

Compare

Compare usage and performance

Place this model beside up to three other catalog models.

Capabilities

Modalities

Input

Output

Details

Model ID: gemini-1.5-pro
Family: gemini
Status: stable
Knowledge: -
Released: -

Gateway Config

API: v1
Auth: GOOGLE_APPLICATION_CREDENTIALS
Discovery: static
Provider type: static

Quick Start

index.ts

import Everstack from "@everstack/node";const client = new Everstack({  apiKey: process.env.EVERSTACK_API_KEY!,  baseUrl: "https://{instance}.{region}.everstack.ai",});const completion = await client.chat.completions.create({  model: "@vertex-ai/gemini-1.5-pro",  messages: [{ role: "user", content: "Explain vector cache routing." }],});console.log(completion.choices[0]?.message?.content);

Endpoint

Base URL

https://{location}-aiplatform.googleapis.com/v1/projects/{project}/locations/{location}

Chat completions

https://{location}-aiplatform.googleapis.com/v1/projects/{project}/locations/{location}/chat/completions

Model

gemini-1.5-pro

Auth env

GOOGLE_APPLICATION_CREDENTIALS

Gemini 1.5 Pro FAQ

How much does the Gemini 1.5 Pro API cost?

Through Vertex AI, Gemini 1.5 Pro costs $1.25 per 1M input tokens and $5.00 per 1M output tokens.

What is the context window of Gemini 1.5 Pro?

Gemini 1.5 Pro accepts up to 1.0M tokens of context and returns up to 8.2K output tokens on Vertex AI.

Which providers offer Gemini 1.5 Pro?

Gemini 1.5 Pro is available from Google and Vertex AI. Everstack can route between them with automatic fallback when one is unavailable.

What can Gemini 1.5 Pro do?

Gemini 1.5 Pro supports chat, function calling and image input. It accepts text, image, video and audio input.

How do I call Gemini 1.5 Pro through Everstack?

Point any OpenAI-compatible SDK at your Everstack gateway and set the model to @vertex-ai/gemini-1.5-pro. Everstack adds retries, provider fallback, caching, per-tenant budgets and OpenTelemetry traces for every request.