Zed vs Continue

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

Zed

🔴Developer

AI Coding Assistant

Fast collaborative editor with AI features

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Starting Price

Custom

Continue

🔴Developer

AI Coding Assistant

Source-controlled AI agents for software teams

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Starting Price

Custom

Feature Comparison

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FeatureZedContinue
CategoryAI Coding AssistantAI Coding Assistant
Pricing Plans420 tiers187 tiers
Starting Price
Key Features
  • GPU-Accelerated Rendering: Uses Metal on macOS and Vulkan on Linux to render the entire UI on the GPU, achieving sub-millisecond keystroke latency and smooth scrolling even in very large files with thousands of lines of code.
  • Built-in AI Assistant: Integrated assistant panel supporting Claude, GPT-4, Gemini, and other LLMs for code generation, refactoring, explanation, and inline transformations with full project-wide context indexing for deeper codebase understanding.
  • Real-Time Multiplayer Collaboration: CRDT-based collaboration engine allows multiple developers to edit the same workspace simultaneously with live cursors, shared terminals, and zero-conflict merging.
  • Open-source AI assistant for configurable developer workflows
  • Source-controlled AI checks on every pull request
  • Custom team standards that can be reviewed like code

Zed - Pros & Cons

Pros

  • Exceptionally performance-focused editor with AI features layered onto a serious coding environment
  • Clear pricing page with a usable free tier and inexpensive Pro plan
  • BYO model/API-key support reduces lock-in and gives developers cost control
  • Collaboration features are native rather than bolted onto a solo editor

Cons

  • Some enterprise identity features were listed as planned rather than available
  • Switching editors is a real adoption cost for teams standardized on VS Code or JetBrains
  • Hosted AI usage can create spend surprises without governance
  • Extension ecosystem may not match older editors for every language and workflow

Continue - Pros & Cons

Pros

  • Version control for agents fits engineering culture better than ad hoc prompt sharing
  • Transparent Starter and Team pricing make pilots easier to budget
  • Private agent sharing and usage controls help standardize team workflows
  • BYOK on Company is useful for organizations with model-provider requirements

Cons

  • Teams must actively maintain agent configs to avoid stale automation
  • Pay-as-you-go token costs can vary by workflow and model
  • Advanced security/compliance features require Company negotiations

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