Head-to-Head Comparison

Cody vs Tabnine

Which Code Assistant is right for you? See our complete breakdown.

Cody

4/10 Visit Cody
VS

Tabnine

6/10 Our Pick Visit Tabnine
FeatureCodyTabnine
MegaOne Score4/106/10
CategoryCode AssistantCode Assistant
Pricing ModelPaid OnlyPaid Only
Starting Price$16,000.00/mo$39.00/mo
Free TierNoNo
API AvailableNoNo
Open SourceNoNo
iOS AppNoNo
Android AppNoNo
Chrome ExtensionNoNo
CompanySourcegraphTabnine, Inc.
Total Funding$248M$102M

Visual Comparison

Score Reach Value Team Funding Reviews
Cody Tabnine

About Cody

Cody is an enterprise AI coding assistant that leverages Sourcegraph's code intelligence platform to provide context-aware help across entire codebases.

Cody is an AI coding assistant developed by Sourcegraph, built upon its Code Intelligence Platform. It provides context-aware code suggestions, fixes bugs, and answers questions by understanding the entire organization's code repositories, not just open files. As of 2026, it offers features like universal codebase context, multi-LLM support, natural language code search, and auto-remediation, making it suitable for large enterprises and complex codebases.

About Tabnine

Tabnine is an AI-powered coding assistant for developers that provides privacy-centric code completion and generation.

Tabnine is an AI code assistant designed to accelerate and simplify software development by offering intelligent code completion, chat, and whole-function generation across various programming languages and IDEs. It emphasizes enterprise privacy and security, offering local, on-premises, VPC, and air-gapped deployment options with zero data retention, making it suitable for regulated industries. The platform has evolved to include AI agents, an Enterprise Context Engine for codebase understanding, and features like code explanation, test generation, and documentation.

Tabnine takes the edge

With a MegaOne score of 6/10 versus 4/10, Tabnine edges ahead of Cody in our analysis. However, Cody may still be the better choice depending on your specific use case and budget.