Amp vs GitHub Copilot
A data-grounded look at how these two coding & development tools stack up — to help you pick the right coding & development tool in 2026.
Quick verdict
There's barely a point between Amp and GitHub Copilot on our Editor Score. Pick Amp if you want sourcegraph code intelligence giving frontier models repository-wide reference data; choose GitHub Copilot for inline code completion across mainstream languages and editors. On pricing, both ship a free or freemium tier, so you can try each before paying.
Amp vs GitHub Copilot at a Glance
| GitHub Copilot | ||
|---|---|---|
| Pricing | Freemium | Freemium |
| Free tier | ||
| Best for | sourcegraph code intelligence giving frontier models repository-wide reference data | inline code completion across mainstream languages and editors |
Amp
Amp is an agentic coding tool from Sourcegraph that runs in the terminal and in editor extensions, using Sourcegraph's code intelligence to give frontier models deep repository context. It plans multi-step work, edits across files, runs tests and iterates, on pay-as-you-go credits with no markup on provider pricing.
- Sourcegraph's code intelligence is genuinely hard to replicate and shows on multi-file refactors
- Charging provider cost with no markup removes any incentive to ration your usage or downgrade your model
- A free tier with no hard token cap allows real evaluation rather than a crippled trial
- Threads make agent sessions reviewable and teachable, which most tools leave invisible
- Pay-as-you-go spend is unpredictable and harder to get approved than a flat subscription
- The free tier is ad-supported and does not carry the paid tier's zero-data-sharing guarantee
- No compliance certifications or on-premise deployment are advertised
GitHub Copilot
GitHub Copilot is an AI coding assistant that spans completion, chat, agent mode, automated code review, and a cloud agent that opens pull requests, working across VS Code, Visual Studio, JetBrains, Xcode, Neovim, Eclipse, the CLI, and github.com.
- Widest editor and surface coverage of any AI coding assistant
- Repository, issue, and pull request context needs no extra setup
- Mature governance — audit logs, access and budget controls, IP indemnity
- Switchable models rather than a single fixed one
- Inline completion has been overtaken by dedicated AI editors
- Agent output on large or unusual codebases still needs close review
- Governance features are spread across six tiers, so tier choice is fiddly
Which Should You Choose?
Choose Amp if…
- you want sourcegraph code intelligence giving frontier models repository-wide reference data
- a free or freemium plan is important
Choose GitHub Copilot if…
- you want inline code completion across mainstream languages and editors
- a free or freemium plan is important
Amp vs GitHub Copilot: The Verdict
It comes down to fit, not a single winner: Amp leans into sourcegraph code intelligence giving frontier models repository-wide reference data, while GitHub Copilot is built for inline code completion across mainstream languages and editors. Weigh features and pricing for your workflow. Both have a free or freemium tier, so spin up each and keep the one that clicks.
Frequently Asked Questions
Is Amp better than GitHub Copilot?
Neither is universally better — it depends on your budget and which features matter most. The side-by-side breakdown above shows where each one wins.
What is the difference between Amp and GitHub Copilot?
Amp (freemium) is best for sourcegraph code intelligence giving frontier models repository-wide reference data, while GitHub Copilot (freemium) is best for inline code completion across mainstream languages and editors. See the full feature and pricing comparison above.
Is Amp or GitHub Copilot cheaper?
Both have paid plans — pricing depends on your usage tier. Open each tool's review for current prices, and watch for free trials.
Which is better for beginners, Amp or GitHub Copilot?
Amp is usually the easier starting point thanks to a lower barrier to entry. Beginners should favour a free tier and a simple interface over raw power.
More Coding & Development Comparisons
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About the Authors
AI Tools Comparison Analyst
Olivia runs side-by-side comparisons and benchmarks, digging into pricing, features, and real-world performance so readers can choose between competing AI tools with confidence.
Senior AI Tools Reviewer
Daniel reviews AI tools the slow way — by actually using them on real projects. His reviews cover what works, what breaks, and who each tool is genuinely a good fit for.
Keep exploring
Last updated October 2026. Comparisons are ranked by our Editor Score (features, value and pricing, blended with verified user reviews where a tool has them) — see our methodology.