Devin vs Pi — Which AI Agent Is Better?
An in-depth comparison of Devin and Pi across output quality, autonomy, reliability, speed, value, and ease of use. Vote for your favorite.
An in-depth comparison of Devin 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 Devin →
Pick a winner in each category — you can change your vote anytime.
DevinPiChoose Devin if you are teams that want to delegate well-scoped engineering tickets end-to-end. Choose Pi if you are developers who want a fast, minimal, hackable terminal agent with full control over context and models.
Editorially this matchup is a dead heat: each agent leads in 3 of our six categories. On price, Devin runs $20/mo entry + usage (acus) and is proprietary; Pi runs free (mit) — bring your own model and is open source.
Devin is Cognition's fully autonomous software engineer: give it a task in Slack, Linear, or the web IDE and it plans, writes code, runs tests, and opens a pull request in its own cloud sandbox — including several sessions in parallel. It shines on well-scoped, repetitive engineering work (migrations, test coverage, small features) and improved markedly through its 2.x releases, but it remains weaker on ambiguous, novel tasks, and ACU-based usage pricing means heavy use costs real money. Cognition also acquired Windsurf in 2025, folding its IDE technology into the same product family.
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
