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ComparisonIDE Extensions & Plugins

Gemini Code Assist vs Sourcegraph Cody

Compare Gemini Code Assist and Sourcegraph Cody by workflow, pricing, privacy, model support, and best use cases.

Quick Verdict
Gemini Code Assist logo

Gemini Code Assist

Gemini Code Assist is a strong choice for teams that want AI coding assistance inside existing IDEs while staying aligned with Google Cloud, Gemini CLI, GitHub review, and enterprise admin workflows. It is less suitable for developers who need local model control, BYOK flexibility, or a standalone AI editor experience.

Sourcegraph Cody logo

Sourcegraph Cody

Sourcegraph Cody is strongest when paired with Sourcegraph Enterprise and large-scale code search. It is less suitable as a personal AI coding tool now that Cody Free and Cody Pro have been discontinued.

Gemini Code Assist logo

Gemini Code Assist

Pricing model
freemium
Free plan
Yes
Open source
No
Local models
No
BYOK
No
Editor base
VS Code
Sourcegraph Cody logo

Sourcegraph Cody

Pricing model
enterprise
Free plan
No
Open source
Yes
Local models
No
BYOK
Yes
Editor base
VS Code

Key Differences

Workflow

Gemini Code Assist

Gemini Code Assist is Google’s AI coding assistant for IDEs, GitHub, Gemini CLI, and Google Cloud workflows, positioned as a business-friendly alternative to Copilot, Cursor, and terminal coding agents.

Sourcegraph Cody

Sourcegraph Cody is an enterprise AI coding assistant focused on codebase-aware chat, code edits, completions, and context retrieval across large multi-repository environments.

Pricing

Gemini Code Assist

freemium

Sourcegraph Cody

enterprise

BYOK

Gemini Code Assist

No

Sourcegraph Cody

Yes

compare.fields.openSource

Gemini Code Assist

No

Sourcegraph Cody

Yes

Feature Comparison

FeatureGemini Code Assist logoGemini Code AssistSourcegraph Cody logoSourcegraph Cody
Primary workflowGemini Code Assist is Google’s AI coding assistant for IDEs, GitHub, Gemini CLI, and Google Cloud workflows, positioned as a business-friendly alternative to Copilot, Cursor, and terminal coding agents.Sourcegraph Cody is an enterprise AI coding assistant focused on codebase-aware chat, code edits, completions, and context retrieval across large multi-repository environments.
Typeextensionextension
Editor baseVS CodeVS Code
Pricing modelfreemiumenterprise
Starting price$22.8$16000
Free planYesNo
Open sourceNoYes
Local modelsNoNo
BYOKNoYes
PlatformsVS Code, JetBrains IDEs, IntelliJ IDEA, PyCharm, GoLand, WebStorm, Android Studio, Cloud Shell Editor, Cloud Workstations, GitHub, Gemini CLI, Google Cloud, Firebase, Cloud Run, BigQuery, Apigee, Application IntegrationVS Code, JetBrains IDEs, Visual Studio, Sourcegraph Web, Cody CLI, GitHub, GitLab, Sourcegraph Cloud, Sourcegraph self-hosted
ModelsGemini 3, Gemini 2.5Claude Opus 4.5, Gemini 3 Pro, GPT-5.1, OpenAI 4.1, OpenAI 4.1-mini, OpenAI 4.1-nano, OpenAI o3, OpenAI o4-mini, Google Gemini 2.5 Flash Preview, Google Gemini 2.5 Pro Preview, Claude 3.5 Sonnet, Amazon Bedrock, Azure OpenAI, Google Cloud Vertex AI
Enterprise featuresEnterprise-grade security, Gen AI indemnification for code suggestions, Code customization from private repositories, Usage metrics and observability dashboard, Google Cloud admin and billing controls, VPC Service Controls configuration, Gemini Code Assist logging configuration, GitHub enterprise code review setup, Google Cloud service integrations, Increased agent usage in Enterprise, Integration with Apigee and Application Integration, Additional Gemini Cloud Assist featuresSourcegraph Enterprise support, Single-tenant cloud, Self-hosted deployment, Enterprise admin and security controls, SSO and RBAC through Sourcegraph platform, Context Filters, Cody Gateway, Enterprise model selection, Org-wide AI credit pooling, Sourcegraph Code Search integration, MCP Server access, GraphQL and REST APIs, CLI access, 24x5 support with upgrade options
Best forDevelopers using VS Code, JetBrains IDEs, Android Studio, or Google Cloud workstations, Teams building on Google Cloud, Firebase, Cloud Run, BigQuery, Apigee, or Application Integration, Organizations that want managed AI coding assistance with enterprise security and Google Cloud administration, Teams that want IDE assistance plus terminal workflows through Gemini CLI, Enterprises that need code customization based on private repositories and organization coding styleEnterprise teams with large monorepos or multi-repository architectures, Organizations already using Sourcegraph Code Search and code intelligence, Developers who need AI answers grounded in remote repository context, Security-conscious teams that need context filtering and enterprise controls, Teams that want AI assistance inside existing IDEs rather than switching editors
Not best forUsers looking for a fully open-source coding assistant, Developers who need local model support or BYOK routing inside the IDE assistant, Teams outside the Google Cloud ecosystem that want minimal cloud admin setup, Users who want a standalone AI-native editor like Cursor or Windsurf, Developers relying on the unpaid individual IDE extension for long-term usage after the Antigravity migrationIndividual developers looking for a low-cost personal AI coding assistant, Teams that want a standalone AI-native editor, Users looking for a fully autonomous coding agent that takes issues end-to-end, Organizations that do not plan to deploy or buy Sourcegraph Enterprise, Developers who need local model execution as a primary feature

Use Case Winners

Best for editor-first coding
Similar

Both Gemini Code Assist and Sourcegraph Cody have comparable signals here.

Best for private or controlled model workflows
Sourcegraph Cody

Sourcegraph Cody has BYOK or model-routing flexibility.

Best for teams and enterprise governance
Sourcegraph Cody

Sourcegraph Cody lists more team or enterprise controls.

Best for frontend or web app work
Similar

Both Gemini Code Assist and Sourcegraph Cody have comparable signals here.

Best for model flexibility
Sourcegraph Cody

Sourcegraph Cody supports more model/provider options or BYOK-style workflows.

Best for open-source preference
Sourcegraph Cody

Sourcegraph Cody is marked as open source.

Pricing Comparison

Gemini Code Assist logo

Gemini Code Assist

  • Gemini Code Assist for individuals$0 / month

    Free version for eligible personal Gmail accounts; Google notes unpaid IDE extension access is being replaced by Antigravity on June 18, 2026.

  • Standard Monthly$22.80 / user/month

    Business plan with IDE code assistance, local codebase awareness, code transformation, agent mode, Gemini CLI, and enterprise-grade security.

  • Standard Annual$19 / user/month

    Annual commitment pricing with upfront annual commitment.

  • Enterprise Monthly$54 / user/month

    Adds code customization, expanded Google Cloud integrations, and increased agent usage.

  • Enterprise Annual$45 / user/month

    Annual commitment pricing with upfront annual commitment.

Sourcegraph Cody logo

Sourcegraph Cody

  • Sourcegraph EnterpriseFrom $16K

    Enterprise platform plan that includes credits for AI features and scales with team size.

  • Cody EnterpriseContact sales

    Enterprise-supported Cody access for Sourcegraph customers; Cody Free, Cody Pro, and Enterprise Starter Cody access were discontinued in 2025.

  • Volume AI CreditsCustom

    Additional volume credit buckets are available as add-ons for AI feature usage.

Privacy & Security

Gemini Code Assist logo

Gemini Code Assist

Gemini Code Assist Standard and Enterprise documentation says Google does not use customer data to train models without permission. Gemini Code Assist for individuals has a separate privacy notice and may use data to improve Google machine learning models unless the user opts out. Teams should review edition-specific privacy notices, administrator controls, repository access, code customization settings, GitHub app permissions, and Google Cloud data governance before rollout.

Sourcegraph Cody logo

Sourcegraph Cody

Cody collects prompts and responses to provide the service, and Sourcegraph documentation says it does not use user data to train models. Sourcegraph AI Terms state that Sourcegraph and partner LLMs do not use customer code to train models, and partner LLMs use zero-retention handling for inputs, outputs, and candidate context when accessed through Sourcegraph Partner LLMs. Enterprise teams should review AI Terms, Context Filters, Cody Gateway, model routing, self-hosting, and codehost permissions before rollout.

Choose Gemini Code Assist if...

  • Developers using VS Code, JetBrains IDEs, Android Studio, or Google Cloud workstations
  • Teams building on Google Cloud, Firebase, Cloud Run, BigQuery, Apigee, or Application Integration
  • Organizations that want managed AI coding assistance with enterprise security and Google Cloud administration
  • Teams that want IDE assistance plus terminal workflows through Gemini CLI
  • Enterprises that need code customization based on private repositories and organization coding style

Choose Sourcegraph Cody if...

  • Enterprise teams with large monorepos or multi-repository architectures
  • Organizations already using Sourcegraph Code Search and code intelligence
  • Developers who need AI answers grounded in remote repository context
  • Security-conscious teams that need context filtering and enterprise controls
  • Teams that want AI assistance inside existing IDEs rather than switching editors

Avoid Gemini Code Assist if...

  • Users looking for a fully open-source coding assistant
  • Developers who need local model support or BYOK routing inside the IDE assistant
  • Teams outside the Google Cloud ecosystem that want minimal cloud admin setup
  • Users who want a standalone AI-native editor like Cursor or Windsurf
  • Developers relying on the unpaid individual IDE extension for long-term usage after the Antigravity migration

Avoid Sourcegraph Cody if...

  • Individual developers looking for a low-cost personal AI coding assistant
  • Teams that want a standalone AI-native editor
  • Users looking for a fully autonomous coding agent that takes issues end-to-end
  • Organizations that do not plan to deploy or buy Sourcegraph Enterprise
  • Developers who need local model execution as a primary feature