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Vertex AI Pricing 2026

Complete pricing guide for Vertex AI — rates, costs, and free options.

Pay-per-useFree to start, then pay per use from $0.075Updated November 4, 2026

💰 Vertex AI Pricing Overview

Vertex AI uses a pay-per-use pricing model. Charged by usage at the published rates. Current pricing: Pay-per-use. Gemini 1.5 Flash: $0.075/1M tokens. Free tier: $300 GCP credits for new accounts. Vertex AI is a coding & development tool known for google cloud's ai platform for gemini, imagen, and ml model deployment. You can start using Vertex AI without paying, then pay only for what you use at the rates above.

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🔍 Compare Before You Buy

See all 5 alternatives →

Comparing Vertex AI to similar tools helps you make the best choice for your budget and needs:

Amazon Bedrock

Paid

AWS managed platform for accessing Claude, Llama, and other foundation models via API

Starting at $3

Compare with Vertex AI →

Azure AI

Paid

Microsoft's cloud AI platform with GPT-4o, Copilot Studio, and enterprise AI services

Free to start, then pay per use from $5

Compare with Vertex AI →

Anthropic API

Paid

API access to Claude models for developers

Free to start, then pay per use from $3

Compare with Vertex AI →

Vertex AI Rates & Pricing

Gemini 1.5 Flash:

$0.075

1M tokens

Free

$0forever

$300 GCP credits for new accounts

* Pricing information is based on publicly available data and may not reflect current promotions, annual discounts, or regional pricing. Visit the official Vertex AI website for the latest pricing.

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Is Vertex AI Free?

✓Yes, you can start using Vertex AI for free

Pay-per-use. Gemini 1.5 Flash: $0.075/1M tokens. Free tier: $300 GCP credits for new accounts.

Check Vertex AI pricing at the source

The breakdown above is our summary of Vertex AI's published pricing, not a quote. Plans, limits and what each tier includes change without notice — confirm on Vertex AI's own pages before you buy.

Official Vertex AI site ↗

We do not represent Vertex AI and these links are not paid placements.

Is Vertex AI Worth It?

Vertex AI is a premium coding & development tool that offers 6 key features including Gemini Ultra, Pro, Flash, and Nano model access, Imagen 3 for text-to-image generation, AutoML for custom model training without code. Google Cloud's Vertex AI is the managed machine learning platform that gives developers access to Gemini models (Ultra, Pro, Flash), PaLM 2, Imagen, and open-source models. Build, fine-tune, and deploy AI applications with Google Cloud's infrastructure. Includes AutoML, model serving, MLOps pipelines, and direct access to Google's latest foundation models.

✅ Vertex AI is a good choice if you need:

  • •Gemini Ultra, Pro, Flash, and Nano model access
  • •Imagen 3 for text-to-image generation
  • •AutoML for custom model training without code
  • •Model Registry and versioning
  • •Grounding — connect Gemini to Google Search

💡 Value Assessment

Vertex AI charges by usage, so what you spend scales with how much coding & development work you put through it. You can try it without paying before committing any money. Compare the rates above against your expected volume.

Vertex AI Key Features

Vertex AI comes packed with features that make it a strong contender in the coding & development space. Here's what you get:

1.
Gemini Ultra, Pro, Flash, and Nano model access

Gemini Ultra, Pro, Flash, and Nano model access helps you work more efficiently with Vertex AI.

2.
Imagen 3 for text-to-image generation

Powered by advanced AI models, Vertex AI delivers intelligent image generation capabilities.

3.
AutoML for custom model training without code

Customize Vertex AI to match your specific needs and preferences.

4.
Model Registry and versioning

Model Registry and versioning helps you work more efficiently with Vertex AI.

5.
Grounding — connect Gemini to Google Search

Search and browse capabilities help you find what you need quickly.

6.
Pipelines for MLOps automation

Pipelines for MLOps automation helps you work more efficiently with Vertex AI.

Vertex AI Alternatives & Their Pricing

Considering alternatives to Vertex AI? Here's how competing tools compare on pricing:

Amazon Bedrock

Paid

AWS managed platform for accessing Claude, Llama, and other foundation models via API

Pricing: Pay-per-token. Claude 3.5 Sonnet via Bedrock: $3/1M input tokens. No minimum spend.

Azure AI

Paid

Microsoft's cloud AI platform with GPT-4o, Copilot Studio, and enterprise AI services

Pricing: Pay-as-you-go. GPT-4o via Azure OpenAI: $5/1M input tokens. Free tier available.

Anthropic API

Paid

API access to Claude models for developers

Pricing: Pay-as-you-go. Claude Sonnet $3/$15 per million tokens (input/output), Opus $15/$75, Haiku $0.25/$1.25

Together AI

Freemium

Open-source LLM cloud platform — 100+ models, fine-tuning, and dedicated endpoints

Pricing: Free $25 credit. Pay-as-you-go from $0.10/1M tokens. Enterprise custom.

Google AI Studio

Free

Google's free IDE for prototyping with Gemini models

Pricing: Free to use. API usage via Google AI has generous free tier, then pay-as-you-go

Ready to try Vertex AI?

Visit the official website for the latest pricing and to get started.

Frequently Asked Questions

Is Vertex AI free to use?

Yes, you can start using Vertex AI without paying. After that it charges by usage, from $0.075, so you pay only for what you use.

How much does Vertex AI cost in 2026?

As of 2026, Vertex AI pricing is: Pay-per-use. Gemini 1.5 Flash: $0.075/1M tokens. Free tier: $300 GCP credits for new accounts. Visit the official Vertex AI website for the most current pricing.

What is the lowest Vertex AI price?

The lowest listed price is $0.075, and you can start without paying. See the full rates above.

What are the best alternatives to Vertex AI?

Popular alternatives to Vertex AI include Amazon Bedrock, Azure AI, Anthropic API. Each offers different features and pricing structures. Compare them on AISO Tools to find the best fit for your needs and budget.

Is Vertex AI worth the price?

Vertex AI offers features like Gemini Ultra, Pro, Flash, and Nano model access, Imagen 3 for text-to-image generation, AutoML for custom model training without code. Whether it's worth the investment depends on your specific needs, usage volume, and budget. It charges by usage, so cost scales with how much you use it, and you can try it before paying.

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