Comet 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.
Open Source
- Full AI observability & agent testing feature set
- True OSS: same codebase as the hosted versions
- Agent tracing & analysis
- Test Suites & assertions
- Agent Playground
Free Cloud
- Up to 10 team members
- 25k spans per month
- 60-day data retention
- Agent tracing & analysis
- Test Suites & assertions
- Agent Playground
- Ollie coding harness trial
Pro Cloud
Popular- Up to 50 team members
- 100k spans per month
- 60-day data retention
- Customizable monthly span limits
- Customizable data retention periods
Enterprise
- Unlimited team members
- Custom usage plans
- Flexible deployments
- Service accounts and view-only users
- Single sign-on
- Dedicated support and SLAs
- SOC 2, ISO 27001, ISO 9001, HIPAA, and GDPR compliance
Tabnine Code Assistant
- 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
- 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
Comet vs Tabnine FAQ
- Which one is cheaper?
- Comet starts lower at $19/mo, compared to $39/mo for Tabnine.
- Can I use either one for free?
- Comet has a free plan. Tabnine doesn't — you'll need to pay from day one.
- How do they charge?
- Different approach here. Comet 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. Comet: At $19/mo entry, they're positioning as the accessible alternative to heavier MLOps platforms — clearly going after teams that find tools like Weights & Biases or Arize too expensive or too complex for pure LLM tracing use cases. The academic free Pro tier signals they're also playing a long game on developer mindshare. 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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