Claude Code vs Cody

Side-by-side comparison — features, pricing, pros and cons

Paid

4.2

Anthropic's terminal-based autonomous coding agent powered by Claude Opus 4.6 with 1M token context. Runs 30-hour autonomous tasks with access to your filesystem, shell, and test runners. Native IDE extensions for VS Code and JetBrains allow inline use alongside Cursor-style editing. Scores 74.4%–80.9% on SWE-bench Verified.

Category:AI Coding

Features

Powered by Claude Opus 4.6 with 1M token context window
Autonomous 30-hour task execution with filesystem, shell, and test access
SWE-bench Verified score: 74.4%–80.9% (leading among terminal agents)
VS Code and JetBrains IDE extensions for inline use
CLAUDE.md project configuration for persistent behavior rules
+5 more

Pros

Highest SWE-bench score among deployed terminal agents at 80.9% on the Verified benchmark
1M context allows loading an entire monorepo without chunking or losing cross-file coherence
Plan mode shows the full task breakdown before any code runs — essential for high-stakes refactors
Headless mode enables fully automated CI pipelines that can fix failing tests without human intervention

Cons

Cost scales with context usage — heavy 1M context tasks can cost $50–200 per autonomous session via API
Terminal-only workflow requires comfort with CLI; no GUI for reviewing diffs before execution in default mode
IDE extensions are newer than Cursor and lack some Cursor-specific features like Notepads
Rate limits on subscriptions constrain long autonomous sessions; API pricing is the practical path for heavy use
Security vulnerabilities found in versions prior to v1.0.20 — ensure you're running the current version

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Cody

Freemium

4.3

Cody by Sourcegraph is an AI coding assistant with deep codebase understanding. Answers questions about your code, generates code with full context awareness, and integrates with Sourcegraph code search to help developers navigate and understand large codebases.

Features

Codebase-aware chat
Code generation
Sourcegraph integration
Multi-repo context
Custom commands
+3 more

Pros

Excellent codebase understanding
Sourcegraph search integration
Multi-repo support
Good for large codebases
Context controls

Cons

Best with Sourcegraph
Setup complexity
Learning curve
Enterprise pricing unclear

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Tool	Claude CodeView details →	CodyView details →
Pricing	Paid	Freemium
Rating	4.2	4.3
Category	AI Coding	—
Description	Anthropic's terminal-based autonomous coding agent powered by Claude Opus 4.6 with 1M token context. Runs 30-hour autonomous tasks with access to your filesystem, shell, and test runners. Native IDE extensions for VS Code and JetBrains allow inline use alongside Cursor-style editing. Scores 74.4%–80.9% on SWE-bench Verified.	Cody by Sourcegraph is an AI coding assistant with deep codebase understanding. Answers questions about your code, generates code with full context awareness, and integrates with Sourcegraph code search to help developers navigate and understand large codebases.
Features
Powered by Claude Opus 4.6 with 1M token context window
Autonomous 30-hour task execution with filesystem, shell, and test access
SWE-bench Verified score: 74.4%–80.9% (leading among terminal agents)
VS Code and JetBrains IDE extensions for inline use
CLAUDE.md project configuration for persistent behavior rules
MCP (Model Context Protocol) for custom tool integrations
Git integration: reads history, diffs, and commits on your behalf
Headless mode for CI/CD pipeline integration
Plan mode for architectural review before code execution
Three operating modes: Default, Auto, and Plan
Codebase-aware chat
Code generation
Sourcegraph integration
Multi-repo context
Custom commands
IDE extensions
Enterprise deployment
Context selection
Pros
	Highest SWE-bench score among deployed terminal agents at 80.9% on the Verified benchmark 1M context allows loading an entire monorepo without chunking or losing cross-file coherence Plan mode shows the full task breakdown before any code runs — essential for high-stakes refactors Headless mode enables fully automated CI pipelines that can fix failing tests without human intervention	Excellent codebase understanding Sourcegraph search integration Multi-repo support Good for large codebases Context controls
Cons
	Cost scales with context usage — heavy 1M context tasks can cost $50–200 per autonomous session via API Terminal-only workflow requires comfort with CLI; no GUI for reviewing diffs before execution in default mode IDE extensions are newer than Cursor and lack some Cursor-specific features like Notepads Rate limits on subscriptions constrain long autonomous sessions; API pricing is the practical path for heavy use Security vulnerabilities found in versions prior to v1.0.20 — ensure you're running the current version	Best with Sourcegraph Setup complexity Learning curve Enterprise pricing unclear
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