Devin vs Gemini CLI — Which AI Agent Is Better?
An in-depth comparison of Devin and Gemini CLI across output quality, autonomy, reliability, speed, value, and ease of use. Vote for your favorite.
An in-depth comparison of Devin and Gemini CLI across output quality, autonomy, reliability, speed, value, and ease of use. Vote for your favorite.
Pick a winner in each category — you can change your vote anytime.
DevinGemini CLIChoose Devin if you are teams that want to delegate well-scoped engineering tickets end-to-end. Choose Gemini CLI if you are developers who want frontier-agent capability with huge context at zero cost.
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; Gemini CLI runs generous free tier / gemini api 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.
Gemini CLI is Google's open-source AI agent for the terminal. Its standout traits are a 1M-token context window that can hold entire codebases and a free tier generous enough for real daily work with just a personal Google account. It supports MCP servers, Google Search grounding, and shell command execution in an agentic loop.
Every agent on this page runs on Standard Compute
