Cohere vs Gemini API Pricing (2026)

How do these two stack up on price? Here's what each one costs, what you get, and where the value sits.

Cohere Gemini API
Starts at Custom Custom
Number of plans 3 3
Free plan
Free trial
Pricing model custom usage-based

North

Custom
  • Intuitive interface
  • Purpose-built generative models
  • Intelligent search
  • AI agents for routine tasks and complex workflows

Compass

Custom
  • Pre-built data connectors
  • Intelligent search
  • Document parsing
  • Managed index

Model Vault

Custom
  • Fully managed model deployment
  • No shared resources or multi-tenancy overhead
  • Seamless integration with Cohere North
  • Simple startup and self-serve model access
  • Fixed or Flex pricing plans available

Free

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

Paid

Popular
Custom
  • 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

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

Cohere vs Gemini API FAQ

Which one is cheaper?
One or both use custom pricing, so it depends on your specific needs.
Can I use either one for free?
Gemini API has a free plan. Cohere doesn't — though they do offer a free trial.
How do they charge?
Different approach here. Cohere uses custom pricing, while Gemini API goes with usage-based. That changes the math depending on your team size and usage.
Which one is a better deal?
Depends on what you need. Cohere: Cohere is squarely targeting enterprise and developer teams that can't or won't send data to OpenAI or Anthropic — data residency, security, and deployment flexibility are the pitch. They're not the cheapest option, but they're positioning as the serious infrastructure play for regulated industries and large orgs that need control. Gemini API: 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.

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