Cohere vs DeepL 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 DeepL
Starts at Custom $8/mo
Number of plans 3 4
Free plan
Free trial
Pricing model custom per-seat

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

Individual

$8/mo
  • No data training
  • 300,000 characters per month
  • 3 file translations per month
  • 1 glossary
  • 1 saved translation
  • Full-page translation

Team

Popular
$28/mo
  • 1,000,000 characters per user/month
  • 20 file translations per month
  • Bulk file translation
  • 5 shared style rule lists
  • 5 glossaries
  • 10 saved translations
  • Team administration
  • Analytics and reporting
  • Single sign-on (SSO)

Business

$57/mo
  • Unlimited characters
  • 100 file translations per month
  • 20 shared style rule lists
  • Unlimited glossaries
  • Translation memory
  • Unlimited saved translations
  • User provisioning (SCIM)
  • Domain capture
  • 99.0% availability
  • Write Pro

Enterprise

Custom
  • Customize your character and file limits to fit your exact business needs
  • Unlimited shared style rule lists
  • Unlimited glossaries
  • Translation memory
  • Bring your own key
  • 99.9% availability
  • Dedicated account team
  • Premium support

Cohere vs DeepL 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?
Neither has a free plan. But Cohere and DeepL offer a free trial.
How do they charge?
Different approach here. Cohere uses custom pricing, while DeepL goes with per-seat. 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. DeepL: DeepL sits mid-to-premium in the AI translation space — pricier per seat than bare-bones tools like Google Translate's API, but positioned on translation accuracy rather than being the budget pick. They're going after teams that already tried free/cheap MT tools and got burned on quality, not price-shoppers.

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