Cohere vs Deepgram 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 pricing Deepgram pricing
Starts at Custom Custom
Number of plans 3 3
Free plan —
Free trial
Pricing model custom usage-based

Price is one row. To weigh the features too, use our feature comparison template →

Cohere pricing

Official page

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

Deepgram pricing

Official page

Pay As You Go

$0/mo
  • All endpoint in public models
  • Up to 50 for the REST API
  • Up to 150 for the WSS API
  • Up to 5 for Deepgram Whisper Cloud
  • Up to 45 for the REST API + WSS API
  • Up to 45 for the WSS API
  • Up to 10 for the REST API
  • Community & Discord
  • Standard Uptime

Growth

Popular
Custom
  • All endpoints in public models
  • Up to 50 for the REST API
  • Up to 225 for the WSS API
  • Up to 5 for Deepgram Whisper Cloud
  • Up to 60 for the REST API + WSS API
  • Up to 60 for the WSS API
  • Up to 10 for the REST API
  • Community & Discord
  • Standard Uptime

Enterprise

Custom

Cohere vs Deepgram 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?
Deepgram 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 Deepgram 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. Deepgram: Deepgram plays the developer-friendly, usage-first lane against AssemblyAI and cloud giants like Google/AWS speech APIs — cheap to start, transparent-ish per-minute rates, but pricing opacity creeps in once you're comparing STT models, TTS, and Voice Agent add-ons that aren't in the tier table. They're chasing technical buyers who want to prototype fast and scale on consumption rather than negotiate a seat-based contract upfront.

Still deciding? See the best Cohere alternatives or the best Deepgram alternatives, ranked with verified pricing.

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