Deepgram vs Tabnine Pricing (2026)

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

Deepgram Tabnine
Starts at Custom $39/mo
Number of plans 3 2
Free plan
Free trial
Pricing model usage-based per-seat

Pay As You Go

$0/mo
  • No minimums. No expiration.
  • No credit card required.
  • Free $200 Credit
  • All endpoint in public models
  • Up to 50 for the REST API (Speech-to-Text)
  • Up to 150 for the WSS API (Speech-to-Text)
  • Up to 5 for Deepgram Whisper Cloud
  • Up to 45 for the REST API + WSS API (Text-to-Speech)
  • Up to 45 for the WSS API (Voice Agent API)
  • Up to 10 for the REST API (Audio Intelligence)
  • Community & Discord
  • Standard Uptime

Growth

Custom
  • With pre-paid credits for the year.
  • Credits are redeemed against actual usage.
  • Free $200 Credit
  • All endpoints in public models
  • Up to 50 for the REST API (Speech-to-Text)
  • Up to 225 for the WSS API (Speech-to-Text)
  • Up to 5 for Deepgram Whisper Cloud
  • Up to 60 for the REST API + WSS API (Text-to-Speech)
  • Up to 60 for the WSS API (Voice Agent API)
  • Up to 10 for the REST API (Audio Intelligence)
  • Community & Discord
  • Standard Uptime

Enterprise

Custom
  • For businesses with large volumes, data or deployment requirements, or support needs.

Tabnine Code Assistant

$39/mo
  • AI code completions for current line and multiple lines for full-function implementation
  • AI-powered chat in the IDE that supports every step in the SDLC, using leading LLMs from Anthropic, OpenAI, Google, Meta, Mistral and others
  • Works in all major IDEs
  • Integration with Atlassian Jira Cloud and Data Center to inform AI responses and generation
  • Flexible deployment options – SaaS, VPC, on-premises, or fully air-gapped. You choose where your code lives
  • Zero code retention and total privacy – No storage, no training on your code, no sharing with third parties
  • End-to-end encryption and TLS. Secure communication and data integrity in every environment
  • SSO integration for ease of administration for private deployments
  • Enterprise-grade compliance – Meets GDPR, SOC 2, ISO 27001, and more
  • License-safe AI usage. Built-in protection against licensing risks**
  • Fully private deployment on SaaS or self-hosted (VPC, on-premises, with the option to be fully air-gapped)
  • Compatible with all major IDEs, LLMs, languages, and cloud providers
  • Works across legacy systems and modern stacks
  • No Lock-in and no forced tool changes
  • Define clear boundaries and behaviors for the AI
  • Governance controls to manage permissions, scope, and usage
  • Centralized analytics for visibility into adoption, cost, and compliance
  • Adjust Tabnine to follow your rules, processes, and risk profile
  • Auditability for all usage
  • See usage metrics per user team
  • Control LLM access by user/ team
  • View code generation provenance
  • Advanced analytics
  • Priority ticket-based support during business hours
  • Training on AI-enabled software development for your entire team

The Tabnine Agentic Platform

$59/mo
  • Autonomous agents, with optional user-in-the-loop oversight
  • Follows organizational standards through customizable Coaching Guidelines
  • Code Tools: Git operations, testing frameworks, linters
  • External Services: JIRA, Confluence, databases, APIs
  • Development Tools: Docker, package managers, CI/CD systems
  • Terminal-native AI coding agent for real development workflows
  • Automates tasks like code changes, refactoring, and pull requests
  • Runs in local environments, remote sessions, and CI pipelines
  • Autonomous agents, with optional user-in-the-loop oversight
  • A Context Engine that understands your organization and its standards, included with your subscription
  • Unlimited codebase connections for Bitbucket, GitHub, Gitlab and Perforce P4 (Helix Core)
  • Connects to Git, Jira, Confluence, and more
  • Uses your real-time development context and adapts outputs accordingly
  • Applies your organizational coding standards consistently
  • Surfaces the most relevant APIs, docs, and code examples for your teams
  • Flexible deployment options – SaaS, VPC, on-premises, or fully air-gapped. You choose where your code lives
  • Zero code retention and total privacy – No storage, no training on your code, no sharing with third parties
  • End-to-end encryption and TLS. Secure communication and data integrity in every environment
  • SSO integration for ease of administration for private deployments
  • Enterprise-grade compliance – Meets GDPR, SOC 2, ISO 27001, and more
  • License-safe AI usage. Built-in protection against licensing risks**
  • Fully private deployment on SaaS or self-hosted (VPC, on-premises, with the option to be fully air-gapped)
  • Compatible with all major IDEs, LLMs, languages, and cloud providers
  • Works across legacy systems and modern stacks
  • No Lock-in and no forced tool changes
  • Extensible via MCP
  • Define clear boundaries and behaviors for the AI
  • Governance controls to manage permissions, scope, and usage
  • Centralized analytics for visibility into adoption, cost, and compliance
  • Adjust Tabnine to follow your rules, processes, and risk profile
  • Auditability for all usage
  • Access MCP governance controls
  • Set pricing thresholds per user/team
  • See usage metrics per user team
  • Control LLM access by user/ team
  • View code generation provenance
  • Advanced analytics
  • Priority ticket-based support during business hours
  • Training on AI-enabled software development for your entire team
  • Run agents remotely/headless for use in CI/CD processes

Deepgram vs Tabnine 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. Tabnine doesn't — you'll need to pay from day one.
How do they charge?
Different approach here. Deepgram uses usage-based pricing, while Tabnine 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. Deepgram: Deepgram positions as the developer-friendly, cost-efficient alternative to Google and AWS in the speech AI space — not the cheapest, but meaningfully cheaper than hyperscaler STT at scale. The no-credit-card free tier is a direct shot at winning developers before they default to an incumbent. Tabnine: At $39-$59/seat, Tabnine is priced above GitHub Copilot's base tier but is competing on enterprise trust — privacy, on-prem LLM support, and IP indemnification are the real differentiators they're selling, not price. They're going after security-conscious enterprises and regulated industries that can't just plug into a shared cloud model.

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