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Google Gemini Pricing: subscription, features, etc.

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Google Gemini offers a layered pricing structure that spans consumer subscriptions, Workspace business editions, developer APIs, and code generation tools. Each tier provides different access levels to Gemini models, context windows, and integrations with other Google services. In late 2025, the pricing reflects a strategy that combines consumer-grade accessibility with enterprise-scale flexibility.

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Consumer subscriptions in Gemini Apps.

Gemini consumer plans are available under two subscription levels. The first is Google AI Pro, priced at €21.99 per month in the European Union. This plan includes access to Gemini 2.5 Pro, higher daily prompt quotas, Deep Research, 2 TB of Google One storage, integration with Gmail and Docs, and 1,000 monthly AI credits for generating media with tools like Flow and Whisk. A one-month free trial is available to new subscribers.

The second plan is Google AI Ultra, priced at €274.99 per month, with a promotional rate of €139.99 per month for the first three months in some regions. This tier includes the highest-level model access, Deep Think with Gemini 2.5, Veo 3/3 Fast for video generation, 25,000 monthly AI credits, YouTube Premium for individuals, and 30 TB of Google One storage. In the United States, the launch price for this tier was $249.99 per month, reflecting slight regional variations.

Both tiers replace earlier branding such as Google One AI Premium and Gemini Advanced, consolidating features into a single subscription model with clearer entitlements.

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Gemini features included in Google Workspace.

For business users, Gemini is included directly within Google Workspace editions. Since January 2025, separate Gemini add-ons are no longer offered, and all Workspace plans include Gemini features at their respective levels.

In Italy, annual pricing per user is as follows:

  • Business Starter: €6.80 per user per month

  • Business Standard: €13.60 per user per month

  • Business Plus: €21.10 per user per month

These editions bundle Gemini’s capabilities for Gmail, Docs, Sheets, Slides, and Drive, with no need for an additional AI add-on. Monthly billing is available at a slightly higher rate. Industry reports indicate that Gemini integration added approximately $2 per user per month compared to pre-AI pricing, reflecting the embedded value of AI services across Workspace.

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Developer pricing for Gemini API and AI Studio.

Gemini’s developer pricing follows a usage-based model, measured in tokens for both input and output. Pricing varies between interactive requests and Batch mode, with Batch requests discounted by approximately 50 percent.


For Gemini 2.5 Pro (interactive), the rates are:

  • Input: $1.25 per 1M tokens for prompts up to 200k tokens, $2.50 for larger prompts.

  • Output (including thinking tokens): $10.00 per 1M tokens up to 200k tokens, $15.00 above that threshold.

  • Context caching storage: $4.50 per 1M tokens per hour.

  • Grounding with Google Search: 1,500 requests per day free, then $35 per 1,000 requests.


For Gemini 2.5 Pro (Batch):

  • Input: $0.625 per 1M tokens up to 200k tokens, $1.25 beyond.

  • Output: $5.00 per 1M tokens up to 200k tokens, $7.50 above.


For Gemini 2.5 Flash (interactive):

  • Input: $0.30 per 1M tokens for text, image, or video; $1.00 per 1M tokens for audio.

  • Output: $2.50 per 1M tokens.

  • Context caching storage: $1.00 per 1M tokens per hour.


For Gemini 2.0 Flash (interactive):

  • Input: $0.075 per 1M tokens.

  • Output: $0.30 per 1M tokens.

Batch mode offers the most cost-effective solution for large-scale, non-real-time workloads. This distinction provides flexibility between interactive applications and background processing.

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Code generation with Gemini Code Assist.

Gemini Code Assist provides advanced code completion and multi-file reasoning. For individuals, the tool is available free of charge, with generous usage limits. For organizations, two paid editions exist:

  • Standard: $19 per user per month (annual billing) or $22.80 per user per month (monthly).

  • Enterprise: $45 per user per month (annual) or $54 per user per month (monthly).

These tiers scale Gemini’s developer support into enterprise-grade environments, supporting collaboration, governance, and integration with enterprise systems.

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Table of Gemini pricing overview.

Category

Plan / Model

Pricing

Notes

Consumer

AI Pro

€21.99/month

2.5 Pro access, Deep Research, 2 TB storage, 1,000 AI credits

Consumer

AI Ultra

€274.99/month (€139.99 first 3 months)

Deep Think, Veo 3, 25,000 credits, YouTube Premium, 30 TB storage

Workspace

Business Starter

€6.80/user/month

Gemini included, 30 GB storage

Workspace

Business Standard

€13.60/user/month

Gemini included, 2 TB storage

Workspace

Business Plus

€21.10/user/month

Gemini included, 5 TB storage

Developer API

Gemini 2.5 Pro (interactive)

$1.25 input, $10 output / 1M tokens

Higher for >200k tokens

Developer API

Gemini 2.5 Pro (Batch)

$0.625 input, $5 output / 1M tokens

~50% cheaper

Developer API

Gemini 2.5 Flash

$0.30 input, $2.50 output / 1M tokens

Audio $1 input

Developer API

Gemini 2.0 Flash

$0.075 input, $0.30 output / 1M tokens

Low-cost tier

Code Assist

Standard

$19/user/month (annual)

$22.80 monthly

Code Assist

Enterprise

$45/user/month (annual)

$54 monthly

This table highlights the tiered approach that makes Gemini adaptable for consumers, businesses, developers, and engineering teams.

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Operational considerations.

The choice of plan depends on workload type. Consumers benefit most from AI Pro unless they require Deep Think and large credit bundles. Businesses should view Gemini as part of Workspace, with the cost integrated into per-user licensing. Developers must account for token-based charges and select between interactive or Batch mode depending on whether latency or cost is the priority. Engineering teams using Code Assist must decide between free individual access and enterprise subscriptions that provide governance and collaboration features.

Google’s pricing structure demonstrates a multi-surface strategy, balancing accessibility with advanced features. Each plan aligns with specific use cases, ensuring that Gemini can scale from personal productivity to enterprise development and research.

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