An in-depth comparison of Amp and Pi across output quality, autonomy, reliability, speed, value, and ease of use. Vote for your favorite.
Looking for the Oh My Pi (omp) fork instead?See Oh My Pi vs Amp →
Pick a winner in each category — you can change your vote anytime.
Choose Amp if you are teams that want maximum-capability agentic coding and will pay for tokens at cost. Choose Pi if you are developers who want a fast, minimal, hackable terminal agent with full control over context and models.
In our editorial scoring, Amp leads in 3 of six categories (output quality, autonomy and ease of use), while Pi leads in 2 (speed and value). On price, Amp runs usage-based credits / free tier and is proprietary; Pi runs free (mit) — bring your own model and is open source.
Amp is Sourcegraph's take on agentic coding: no model picker, no knobs — it always runs frontier models with maximum reasoning and leans into autonomy. Work happens in shareable threads across the VS Code extension and CLI, with subagents for parallelizable work and team visibility into how colleagues prompt. It's deliberately opinionated and token-hungry; credits are consumed at cost, so sustained heavy use gets expensive, and there's no BYO-key escape hatch.
Pi is an open-source terminal coding agent and agent harness created by Mario Zechner (badlogic, creator of libGDX) and published under MIT by Earendil. Its philosophy is radical minimalism: by default the model gets a small set of tools — read, write, edit, bash — and everything else, from subagents to plan mode, lives in TypeScript extensions. That keeps the loop fast, the context clean, and the behavior fully under your control. It supports 30+ model providers with mid-session switching, session branching and compaction for long tasks, and custom OpenAI-compatible providers via a simple models.json.
Both work with any OpenAI-compatible provider. Point the base URL at Standard Compute and get frontier-model compute with no usage limits from $39/mo flat — no per-token billing, no 429 rate limits.
Weighing the cost of running it? Cheapest API for Pi
Pi runs on Standard Compute