Gemini API Pricing (2026)

Pure usage-based billing measured in tokens per million, with cost varying by which Gemini model you're hitting — lighter models cost less, flagship models cost more. You're essentially paying for compute consumption, not seats or features.

3 plans usage-based Free plan
Free
$0/mo
Paid Popular
Contact Sales
Enterprise
Contact Sales
Verified Jul 26, 2026 Official pricing page
Screenshot of Gemini API's pricing page showing its plans and prices
Their pricing page, captured Jul 26, 2026

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Free

$0/mo
  • Limited access to certain models
  • Free input & output tokens
  • Google AI Studio access
  • Content used to improve our products

Paid

Popular
Contact Sales
  • Higher rate limits for production deployments
  • Access to Context caching
  • Batch API (50% cost reduction)
  • Access to Google's most advanced models
  • Content not used to improve our products

Enterprise

Contact Sales
  • Dedicated support channels
  • Advanced security & compliance
  • Provisioned throughput
  • Volume-based discounts (based on usage)
  • ML ops, model garden and more

AI Pricing Analysis

Pricing Model

Pure usage-based billing measured in tokens per million, with cost varying by which Gemini model you're hitting — lighter models cost less, flagship models cost more. You're essentially paying for compute consumption, not seats or features.

Tier Strategy

The free tier is a developer sandbox — great for prototyping, but it'll hit rate limits fast under any real load. Teams graduate to paid once they're running production workloads or need higher throughput, and Enterprise is for orgs that want managed infrastructure, SLAs, and the full agent platform on top.

Competitive Positioning

Google is playing the volume game here, positioning against OpenAI's API and Anthropic by offering competitive per-token rates with the added leverage of deep GCP integration. They're not the cheapest, but they're gunning for teams already in the Google ecosystem who want one throat to choke.

Growth Lever

Usage is the primary expansion driver — as models get embedded into products and traffic scales, token consumption compounds fast. The jump to Enterprise unlocks the Gemini Agent Platform, which is the real hook for teams building multi-agent workflows who need more than raw API access.

Gemini API Pricing FAQ

How much does Gemini API cost?
Pricing is custom — you'll need to talk to their sales team for a quote.
Is there a free plan?
Yes. The "Free" plan is free forever, not just a trial. You get limited access to certain models, free input & output tokens, google ai studio access — plus 1 more features. It's enough to evaluate the product before upgrading.
Can I try it before paying?
There's no trial per se, but the free plan lets you use the product indefinitely with some limits.
How does the pricing work?
Pure usage-based billing measured in tokens per million, with cost varying by which Gemini model you're hitting — lighter models cost less, flagship models cost more. You're essentially paying for compute consumption, not seats or features.
Which plan makes sense for me?
The free tier is a developer sandbox — great for prototyping, but it'll hit rate limits fast under any real load. Teams graduate to paid once they're running production workloads or need higher throughput, and Enterprise is for orgs that want managed infrastructure, SLAs, and the full agent platform on top.

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Comparing Gemini API to something specific? Try Gemini API vs Anthropic, Gemini API vs AssemblyAI, or Gemini API vs Avoma.

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