Codeium (Devin Desktop) vs Continue AI Coding Assistant

Detailed side-by-side comparison to help you choose the right tool

Codeium (Devin Desktop)

🟡Low Code

AI Development Platforms

Codeium has rebranded to Devin Desktop under Cognition — an IDE plus coding-agent command center with Free, Pro $20, Max $200, and Team plans.

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Starting Price

Custom

Continue AI Coding Assistant

🔴Developer

AI Coding Assistant

Open-source AI code assistant for VS Code and JetBrains — bring your own models, curate a shared block library, ship as an internal platform.

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Starting Price

Custom

Feature Comparison

Scroll horizontally to compare details.

FeatureCodeium (Devin Desktop)Continue AI Coding Assistant
CategoryAI Development PlatformsAI Coding Assistant
Pricing Plans8 tiers36 tiers
Starting Price
Key Features
    • Multi-model AI support including OpenAI, Claude, Gemini, and local models
    • Native IDE extensions for VS Code and JetBrains with smooth workflow integration
    • MCP server connectivity for development toolchain integration

    💡 Our Take

    Choose Continue.dev if you want open-source code, source-controlled PR checks, and the freedom to swap model providers. Choose Codeium (now Windsurf) if you want a free, fast cloud-hosted completion experience without configuring API keys or managing model routing yourself.

    Codeium (Devin Desktop) - Pros & Cons

    Pros

    • Bundles a real IDE, frontier model access, and Devin Cloud agents at $20/month — competitive with Cursor
    • SWE 1.6 (Cognition's own coding model) is free on Pro+ and is improving fast as a first-party model
    • Agent Client Protocol and parallel session management are genuinely useful for multi-agent workflows

    Cons

    • Rebrand from Codeium / Windsurf to Devin Desktop has created naming confusion across docs and tutorials
    • Free plan is now meaningfully more limited than the original Codeium free-forever autocomplete
    • $200/mo Max plan matches Cursor Ultra without a clear quality advantage on frontier model output

    Continue AI Coding Assistant - Pros & Cons

    Pros

    • Apache 2.0 core allows inspection and customization
    • Works in both VS Code and JetBrains with bring-your-own models
    • Continue Hub can distribute shared rules, prompts, documentation, and MCP blocks

    Cons

    • A customizable setup takes more work than a fixed bundled assistant
    • Teams remain responsible for model security, cost, and output quality
    • Paid team seat pricing is not stated in the staging evidence

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