
Side-by-side comparison of GitHub Copilot and Sourcegraph — pricing, features, and use cases. Reviewed by our editorial team in Jun 2026.


GitHub Copilot and Sourcegraph occupy adjacent but increasingly distinct slots in the 2026 developer tools market. Copilot is the high-volume, individual-and-team coding assistant deeply welded to the GitHub platform; Sourcegraph is a code intelligence platform — Code Search plus the Cody assistant, plus the newer Amp agentic coding tool — built primarily for large enterprises with sprawling, multi-repo codebases.
The pricing positioning alone tells the story. Starting in July 2025, Sourcegraph terminated Cody Free and Cody Pro plans to pivot into a pure enterprise tool, with Cody Enterprise now positioned at a tier far above GitHub Copilot's individual plan. Cody's free and Pro plans have been discontinued; current offerings focus on Enterprise contracts with contact-sales onboarding. Copilot, meanwhile, runs the full spectrum from a free tier through Pro, Business, and Enterprise seats, and starting June 1, 2026, GitHub is moving Copilot from request-based billing to usage-based billing.
On raw model access, Copilot has become genuinely model-agnostic. Auto model selection picks from a rotating set of eligible models such as GPT‑4.1, GPT‑5 mini, GPT‑5.2‑Codex, Claude Haiku 4.5, and Claude Sonnet 4.5 while respecting subscription level and administrator‑imposed restrictions, and the model picker exposes GPT-4.1, GPT-4o, Claude Sonnet 4/4.5/4.6, Claude Opus 4.5/4.6, Claude Haiku 4.5, Gemini 2.5 Pro, Gemini 3.1 Pro, and Gemini 3 Flash. Sourcegraph matches that flexibility — Cody Enterprise is not locked into a specific LLM; enterprises can choose Anthropic Claude, OpenAI GPT, or self-hosted local models — and goes further with self-hosting that Copilot does not offer.
Where Sourcegraph actually wins is cross-repository understanding. Cody Enterprise indexes all repositories connected to the Sourcegraph instance (Sourcegraph has confirmed working with customers at 300,000+ repositories), with the chat UI's @-mention feature allowing selection of up to 10 repositories per query. Because Cody is built on Sourcegraph, it inherits precise go-to-definition across repositories, find-all-references at the symbol level, and dependency graph understanding — when you ask "where is this function used?", it includes callers in other repositories. Sourcegraph also ships Amp, its agentic coding tool, where GPT-5.5 now powers deep mode and Claude Opus 4.7 powers smart mode.
Copilot's countering strength is platform gravity. What distinguishes it from standalone AI chat tools is deep integration with GitHub's existing developer workflows, including issues, pull requests, and Codespaces, and access to Claude and Codex third-party coding agents is included with the existing Copilot subscription. For most teams already on GitHub, Copilot is the default choice; Sourcegraph is the deliberate upgrade when a single repository's worth of context stops being enough.
Cross-repository monorepo / microservices context
Sourcegraph wins decisively. Cody's @-mention can pull context from up to 10 repos per query against an instance indexing 300,000+ repos, something Copilot's single-workspace context can't match.
Individual developers and small teams on GitHub
Copilot is the only realistic option after Sourcegraph killed Cody Free and Pro in mid-2025. Copilot Pro, Business, and Enterprise tiers all undercut Cody Enterprise's per-seat price.
Self-hosted / air-gapped deployments for regulated industries
Sourcegraph offers on-prem and VPC deployment with self-hosted models; Copilot is cloud-only, sending code to GitHub/Microsoft-managed Azure, AWS, and Google Cloud tenants.
5 use cases scored. GitHub Copilot wins 4, Sourcegraph wins 0.
GitHub Copilot publishes a starting price of $10; Sourcegraph does not.
GitHub Copilot offers a free tier; Sourcegraph is paid only.
Both sit near 4.9 / 5 across user reviews.
GitHub Copilot has 215 ratings vs 207 on the other.
GitHub Copilot ranks in our Flagship tier; Sourcegraph sits in the Rising tier.
Where each tool earns its rating — and where it falls short.



Every spec on one page. Live-pulled from each tool's detail page.
Quick answers to the questions readers ask before picking between these two.
No. Sourcegraph discontinued Cody Free and Cody Pro in mid-2025 and Cody is now an enterprise-only product requiring a sales contract. Individual developers are pointed to Amp, Sourcegraph's separate agentic coding tool, which has a free tier; Cody itself starts at the enterprise seat tier.
Sourcegraph wins clearly. Cody Enterprise indexes entire Sourcegraph instances (Sourcegraph has confirmed customer deployments at 300,000+ repositories) and supports @-mention context across up to 10 repos per query. Copilot's context is bounded to the current workspace, so cross-service refactors and impact analysis are weaker.
Yes. Copilot's 2026 model lineup includes Claude Sonnet 4.5/4.6, Claude Opus 4.5/4.6, Claude Haiku 4.5, Gemini 2.5 Pro, Gemini 3 Pro, Gemini 3 Flash, and the GPT-5 family. Auto model selection rotates among eligible models, and enterprise admins can enforce model policies.
Only Sourcegraph. Sourcegraph supports self-hosted deployments and VPC with self-hosted local models, which is the standard pick for regulated or air-gapped environments. GitHub Copilot is cloud-only and routes prompts through GitHub-managed Azure, AWS, and GCP tenants — there is no on-prem option.
Starting June 1, 2026, GitHub is moving Copilot from request-based to usage-based billing across organizations, enterprises, and individuals. Each model has a premium-request multiplier based on complexity (for example, GPT-5.5 carries a 7.5x promotional multiplier), and your premium-request allowance is deducted accordingly. Auto mode provides a 10% multiplier discount in Chat.
Amp is Sourcegraph's separately branded agentic coding tool — think autonomous multi-step edits, CLI plus VS Code, plugin API, and frontier models (GPT-5.5 in deep mode, Claude Opus 4.7 in smart mode). Cody is the assistant tied to enterprise Sourcegraph deployments and code search; Amp is the agent product, and Sourcegraph repositioned it as the answer for individual developers after sunsetting Cody Pro.
Yes, and many enterprises do. The common pattern is Copilot for inline completions and GitHub-native PR/issue workflows, and Sourcegraph (Cody plus Code Search, optionally Amp) for cross-repository investigation, symbol-level navigation, and large refactors. The cost stacks, so it's mainly justified for organizations with many services and deep legacy codebases.
Pick GitHub Copilot if you are an individual developer, a startup, or an engineering org standardized on GitHub Enterprise Cloud where most context lives inside a single primary repository. The free tier plus low-cost Pro plan, the breadth of supported models, the native PR/issue/Codespaces integration, and the new Copilot CLI and cloud agents make it the default for the vast majority of teams. It is also the right pick if you want IP indemnity backed by Microsoft and don't have a hard self-hosting requirement.
Pick Sourcegraph if you run a large, polyglot, multi-repo or monorepo codebase where AI context that stops at the open workspace simply isn't enough. Cody Enterprise's code-graph-backed retrieval and 10-repo @-mention context are genuinely differentiated — there is no equivalent feature in Copilot — and the platform pairs the assistant with Sourcegraph Code Search and the Amp agent for refactors and migrations. Regulated industries, defense contractors, and any team that needs on-prem or VPC deployment with self-hosted models will find Sourcegraph the only viable option of the two.
A useful pattern emerging in 2026 is to run both: Copilot for ambient inline completions and PR-level chat, Sourcegraph for cross-repo investigation, large refactors, and architectural Q&A. The combined cost is real, but for organizations with 200+ services it often pays for itself.
If you are a solo dev or pre-seed founder, the choice is trivial — Copilot. If you are a platform engineering lead at a Fortune 1000 with a 10-year-old monorepo, the choice is the opposite.
More developer tools head-to-heads.
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