Last updated: 2026-02-02

Sourcegraph Cody vs Gemini CLI

Detailed comparison of features, performance, and use cases
89/100

Sourcegraph Cody

AI coding assistant with deep codebase understanding and powerful code search capabilities.
Enterprise CodebasesCode SearchLarge-scale Projects

Quick Verdict

Sourcegraph Cody excels at enterprise codebases and code search with a score of 89/100. Cody excels at understanding large, complex codebases across multiple repositories.

86/100

Gemini CLI

Google's open-source terminal AI agent bringing Gemini directly to your command line with built-in tools for search, file operations, shell commands, and MCP extensibility—free tier included.
Terminal-First WorkflowsFree AI CodingGoogle Ecosystem IntegrationExtensible AutomationLarge Context Tasks

Quick Verdict

Gemini CLI excels at terminal-first workflows and free ai coding with a score of 86/100. Gemini CLI democratizes AI-assisted terminal workflows with a generous free tier that rivals paid alternatives.

📊 Visual Score Comparison

Side-by-side comparison of key performance metrics across six evaluation criteria

Technical Specifications

Feature Sourcegraph Cody Gemini CLI
Core AI Model(s) Not specified Gemini 3 Pro (most intelligent, 1M context), Gemini 3 Flash (fast, 78% SWE-bench). Configurable model selection.
Context Window Not specified 1M tokens with Gemini 3 Pro for massive codebase understanding.
Deployment Options Not specified npm install -g @google/gemini-cli. Open-source for self-hosting and modification.
Offline Mode Not specified Cloud-based, requires internet for model inference. Local tools can execute offline.

Core Features Comparison

Sourcegraph Cody Features

  • Deep codebase context and understanding
  • AI-powered code search and navigation
  • Multi-repository code intelligence
  • Enterprise-grade security and deployment options

Gemini CLI Features

  • Free tier: 60 requests/min, 1000 requests/day with personal Google account
  • Gemini 3 Pro and Flash models with 1M token context
  • Built-in tools: Google Search grounding, file ops, shell commands, web fetch
  • MCP (Model Context Protocol) for custom integrations
  • ReAct loop for complex multi-step reasoning
  • Open-source under Apache 2.0 license
  • VS Code Gemini Code Assist integration

Pricing & Value Analysis

Aspect Sourcegraph Cody Gemini CLI
Pricing URL View Sourcegraph Cody Pricing View Gemini CLI Pricing
Overall Score 89/100 86/100
Best For Enterprise Codebases, Code Search, Large-scale Projects Terminal-First Workflows, Free AI Coding, Google Ecosystem Integration, Extensible Automation, Large Context Tasks

Best Use Cases

Sourcegraph Cody Excels At

  • Enterprise codebase navigation and understanding across multiple repositories and microservices
  • Technical support and troubleshooting by analyzing complex codebases and providing contextual solutions
  • Code modernization and migration projects with deep understanding of legacy system dependencies

Gemini CLI Excels At

  • Free AI coding assistance with generous rate limits for individual developers and small teams
  • Large codebase understanding with 1M token context—analyze entire repositories without truncation
  • Extensible automation by connecting Figma, Stripe, Datadog, and other tools via MCP integrations

Performance & Integration

Category Sourcegraph Cody Gemini CLI Winner
IDE Support Multiple IDEs supported Terminal-native, IDE-agnostic. VS Code integration via Gemini Code Assist. Tie
Community Limited community Active community Tie
Data Richness Basic Comprehensive Gemini CLI
Overall Score 89/100 86/100 Sourcegraph Cody

The Bottom Line

Both Sourcegraph Cody and Gemini CLI are capable AI coding tools, but they serve different needs. Sourcegraph Cody scores higher (89/100 vs 86/100) and excels in enterprise codebases and code search. The choice depends on your specific workflow, team size, and technical requirements.

Choose Sourcegraph Cody if: you prioritize enterprise codebases and code search and want the higher-rated option (89/100).

Choose Gemini CLI if: you prioritize terminal-first workflows and free ai coding and don't mind a slightly lower score for specialized features.

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