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AI Tool Comparison

Comparing as AI Pair Programming & Terminal Agents
Goose vs Devin

Compare features, pricing, pros & cons, and user ratings to decide which AI tool is best for your needs.

Goose official logo and brand icon

Goose

VS
Devin official logo and brand icon

Devin

Verdict by Category

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Detailed Comparison

Feature
Goose
Devin
Pricing
FreeGoose is completely free and open-source under the MIT license. There are no subscription fees, seat charges, or usage limits imposed by Block. The only cost is LLM inference, which you pay directly to your chosen provider at their published rates (or run for free locally via Ollama and open-weight models). Installation is via a single install script on macOS/Linux or a desktop app download for Windows. No account creation, no API key from Block, no sign-up required to start. The CLI and desktop app are both free and open-source. For enterprise teams at Block-scale, Block operates its own internal deployment of Goose with enterprise-specific extensions. No public enterprise pricing exists since the product is community-maintained under MIT license.
FreemiumDevin's Free plan costs $0/month with a light quota to code with agents, limited model availability, and unlimited inline edits and Tab completions. Pro costs $20/month and adds increased quotas, access to OpenAI, Claude, and Gemini frontier models, free use of SWE 1.7 and leading open-source models, Devin Cloud access, and the ability to purchase extra usage at API pricing. Max costs $200/month with everything in Pro plus significantly higher usage quotas for power users. Teams costs $80/month as a base team fee plus $40/month per full developer seat, and includes unlimited team members via flex seats, sharing and collaboration, centralized billing, an admin dashboard with analytics, and priority support. Enterprise is custom-priced ("let's talk") and adds highest-priority support, dedicated account management, SAML/OIDC SSO, centralized enterprise admin controls, and dedicated VPC deployment options. Usage allowances refresh daily and weekly, and extra usage beyond included quotas is billed at API pricing.
Categories
AI Coding AssistantsAI Productivity ToolsAI Developer APIs & PlatformsAI No-Code / Automation Tools
AI Coding AssistantsAI Developer APIs & Platforms
Summary
Block's open-source AI agent — any model, any tool, runs locally on your machine
Autonomous AI software engineer that plans, codes, and ships end-to-end
Goose icon

Goose Pros & Cons

Pros

  • 100% free, MIT licensed, fully open-source — no subscriptions, no seats, no vendor lock-in ever
  • First open-source agent to support MCP (November 2024) — the most MCP-native agent in the ecosystem
  • Used by 5,000+ Block engineers daily for production engineering tasks — the most battle-tested open-source agent at enterprise scale
  • Supports local Ollama models for fully private, offline agentic workflows with zero API cost
  • Jack Dorsey (Block CEO) publicly committed to 'open by default' — strong organizational backing from a major publicly traded company
  • 55,000+ community members and 373+ contributors with active 2026 roadmap — the most active open-source agent community after OpenHands

Cons

  • No hosted cloud tier — requires local installation and LLM API key management, which can be a barrier for non-technical team members
  • Desktop app still maturing — feature parity between CLI and desktop app is not complete as of mid-2026
  • MCP-first design means capabilities depend on available MCP servers — teams with niche tools may need to build custom extensions
  • Built-in inference (local model downloads without Ollama) was planned for Q1 2026 but still in progress as of mid-2026
  • Community-supported rather than commercially supported — no SLA, no dedicated enterprise support team, no paid tier for priority issues
Devin icon

Devin Pros & Cons

Pros

  • Handles full engineering workflows end-to-end, not just inline suggestions
  • Fleet-based parallel agents can tackle large-scale migrations across many repos
  • Deep integrations with GitHub, Linear, Jira, Slack, and Teams for real dev workflows
  • Free tier available to try core agent capabilities with no cost
  • Documented enterprise results, including major efficiency and cost gains at Nubank
  • VPC deployment and SSO support enterprise security requirements

Cons

  • Early benchmark and demo claims were criticized as overstated, so results should be evaluated against a team's own workflows
  • Best suited to well-scoped, reviewable tasks rather than fully unsupervised production work
  • Usage-based cost can climb quickly for teams running many parallel sessions
  • Full model availability and cloud agents require the $20/month Pro plan or higher
  • Quality of output still requires human review, especially on complex or ambiguous tasks
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