GitHub Copilot vs Sourcegraph Cody

Both are built for Code — here's how GitHub Copilot and Sourcegraph Cody actually differ on pricing, platform reach and where each one is strongest.

At a glance

AttributeGitHub CopilotSourcegraph Cody
PricingFrom $10/moContact for pricing
PlatformsWeb, API, macOS, Windows, iOS, AndroidWeb, Self-hosted, macOS, Windows
CategoriesCodeCode
IntegrationsNot listedNot listed

Where each stands

GitHub Copilot

Pros

  • Tightest integration with GitHub itself, from pull requests to Actions
  • Supported across the widest range of editors and IDEs of any assistant here
  • Frequent access to multiple frontier models (GPT, Claude, Gemini) under one subscription

Cons

  • The 2026 move to usage-based billing for chat and agent requests makes monthly cost harder to predict
  • Code completions and Next Edit Suggestions are free of charge, but agentic work now draws down metered credits fast
  • Suggested code still needs review — it can be verbose or subtly wrong, especially in less common languages

Sourcegraph Cody

Pros

  • Context quality benefits directly from Sourcegraph's mature code search and indexing
  • Strong option for very large, sprawling codebases where single-file context tools struggle
  • Robust self-hosted and air-gapped deployment for regulated industries

Cons

  • No longer available to individuals or small teams — free and Pro plans were discontinued in mid-2025
  • Enterprise contracts start high, putting it out of reach for most teams under a few hundred seats
  • Agentic, multi-file editing capability trails newer agent-first tools like Cursor or Copilot's agent mode

Which should you choose?

GitHub Copilot is the better fit for:

  • Speeding up boilerplate and repetitive code writing
  • Getting a first-pass explanation of unfamiliar code
  • Drafting tests and documentation alongside a change
  • Getting a first-pass review on a pull request before a human looks
  • Holding suggestions to a team's conventions with repository instructions
  • Adding tests to code that shipped without any

Sourcegraph Cody is the better fit for:

  • Large organizations with monorepos where context across the whole codebase matters
  • Regulated enterprises that need self-hosted or air-gapped AI coding tools
  • Teams already using Sourcegraph code search who want AI chat layered on top
  • Answering where is this used across hundreds of repositories
  • Standardising common AI prompts across an engineering organisation
  • Assessing the blast radius of a change before making it

Looking for more options? Browse every tool in the Code category.

Related comparisons

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