AI Tool Comparison
Sourcegraph Cody vs Gemini
An objective side-by-side comparison based on global rankings, AI scores, and monthly user data.
Higher Ranked

Sourcegraph Cody
CodingAI coding assistant with full codebase context — understands your entire repo for smarter answers.
AI Score24.0 / 100
#636
Global Rank
–
Monthly Users
VS
Higher Ranked

Gemini
Writing & ChatGoogle's multimodal AI assistant for text, images, code, and data analysis.
AI Score70.9 / 100
#167
Global Rank
350M+
Monthly Users
Side-by-Side Comparison
| Sourcegraph Cody | Gemini | |
|---|---|---|
| Category | Coding | Writing & Chat |
| Global Rank | #636 | #167 |
| AI Score | 24.0/100 | 70.9/100 |
| Monthly Users | – | 350M+ |
| Pricing | Enterprise | Freemium |
| Website | sourcegraph.com | gemini.google.com |
Pros & Cons
Sourcegraph Cody
- Genuinely deep full-codebase and cross-repo context provides more accurate answers than single-file-context tools
- Actively developed and focused specifically on complex, large-scale enterprise engineering needs
- Sourcegraph Enterprise bundles AI-feature credits, cross-repo context, and model controls together
- Free and Pro tiers were discontinued entirely on July 23, 2025, eliminating access for individual developers
- Enterprise contracts start at $16,000, well outside the budget of indie developers or small teams
- Per-user rate of $59/month on top of the enterprise contract adds further cost at scale
Gemini
- Deeply integrated across Google’s broader ecosystem (Search, Workspace, Android)
- Ultra tier pricing was reduced from its original $250/month, improving accessibility
- API pricing offers genuinely low-cost options (Flash-Lite at $0.10/million tokens) for cost-sensitive applications
- Full Workspace integration requires at least Business Standard ($14/user/month), not available on cheaper Workspace tiers
- Credit-based system layered on top of tier usage limits adds complexity to understanding real usage capacity
- Ultra tier’s $99.99-$199.99/month range represents significant cost for maximum usage limits and Deep Think access