Aider vs Amp
Aider and Amp compared on features, pricing and Editor Score — to help you pick the right coding & development tool in 2026.
Quick verdict
Aider and Amp score within a fraction of each other on our Editor Score. Pick Aider if you want automatic git commits for every change, with a generated commit message; choose Amp for sourcegraph code intelligence giving frontier models repository-wide reference data. On pricing, each has a free or freemium plan, so cost isn't the deciding factor here.
Aider vs Amp at a Glance
| Pricing | Free | Freemium |
| Free tier | ||
| Best for | automatic git commits for every change, with a generated commit message | sourcegraph code intelligence giving frontier models repository-wide reference data |
Aider
Aider is an open-source AI pair programming tool that runs in your terminal, builds a map of your whole repository for context, works with almost any LLM including local models, and commits each change to git with a written message so every edit can be diffed and undone.
- AI changes become ordinary git history — diffable, revertible and cherry-pickable with tools you already trust
- Per-commit granularity means you can keep the good changes and discard the bad ones separately
- The repo map degrades gracefully in large codebases where context-window approaches fail
- Model-agnostic, so a provider's bad quarter does not become your problem
- Terminal-only, which is a real barrier for developers who work primarily in a GUI
- Cannot see your selection, cursor, failing tests or language server errors the way an IDE agent can
- Bring-your-own-key billing has no floor and no ceiling, so spend is invisible until you check
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
Which Should You Choose?
Choose Aider if…
- you want automatic git commits for every change, with a generated commit message
- a free or freemium plan is important
Choose Amp if…
- you want sourcegraph code intelligence giving frontier models repository-wide reference data
- a free or freemium plan is important
Aider vs Amp: The Verdict
There's no one-size answer here: Aider leans into automatic git commits for every change, with a generated commit message, while Amp is built for sourcegraph code intelligence giving frontier models repository-wide reference data. 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 Aider better than Amp?
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 Aider and Amp?
Aider (free) is best for automatic git commits for every change, with a generated commit message, while Amp (freemium) is best for sourcegraph code intelligence giving frontier models repository-wide reference data. See the full feature and pricing comparison above.
Is Aider or Amp 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, Aider or Amp?
Aider 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.
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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.