Google Gemini API vs Cody
Gemini 2.5 Pro, Flash, Flash-Lite — multimodal + 2M context
vs. AI coding assistant by Sourcegraph — code graph + enterprise codebase context
Pricing tiers
Google Gemini API
Free Tier (AI Studio)
Generous free tier with rate limits. Good for dev + prototyping. Data may be used to improve Google products.
Free
Paid API (Gemini API)
Pay-as-you-go per-token. Data NOT used for training.
$0 base (usage-based)
Vertex AI (GCP)
Enterprise deployment via Google Cloud. Same pricing structure + GCP features (IAM, VPC-SC, CMEK).
$0 base (usage-based)
Gemini Enterprise
Custom. Gemini 2.5 Deep Think model access + Google Workspace + Agentspace.
Custom
Cody
Cody Free
$0. 500 autocompletes + 20 chat messages/mo. Claude Sonnet + GPT-4o-mini.
Free
Cody Pro
$9/user/mo. Unlimited autocomplete, unlimited chat, premium LLMs (Claude Opus, GPT-5).
$9/mo
Enterprise Starter
$19/user/mo. Adds advanced context (code graph), SSO, centralized billing.
$19/mo
Enterprise
$59/user/mo. On-prem deploy option, full Sourcegraph platform, audit logs, SLA.
$59/mo
Free-tier quotas head-to-head
Comparing free-tier on Google Gemini API vs free on Cody.
| Metric | Google Gemini API | Cody |
|---|---|---|
| No overlapping quota metrics for these tiers. | ||
Features
Google Gemini API · 11 features
- Batch API — 50% discount for async processing.
- Code Execution — Python code interpreter tool (sandboxed).
- Context Caching — Cache system instructions + tools for up to 90% savings.
- File API — Upload large files (up to 2 GB) for multimodal prompts.
- Function Calling — JSON schema-based tool calling. Parallel supported.
- generateContent API — Core generation endpoint.
- Grounding with Search — Augment answers with Google Search results. Fact-checked citations returned.
- Model Tuning — Supervised fine-tuning via AI Studio.
- Multimodal Live API — Bidirectional streaming voice + video (WebSocket).
- Safety Settings — Configurable thresholds for harm categories.
- streamGenerateContent — Streaming variant with SSE.
Cody · 17 features
- Audit Logs — Enterprise compliance.
- Autocomplete — Inline code completion.
- Batch Changes (Enterprise) — Large-scale automated refactors.
- Chat — Conversational AI with @-context.
- Code Graph Context — Automatic dependency-aware context.
- Commands (Slash) — Pre-built prompts (/explain, /doc, /test).
- Custom Prompts — Shareable team-level prompt library.
- Inline Edit — Highlight code → edit via natural language.
- JetBrains Plugin — IntelliJ/PyCharm/WebStorm/etc.
- @ Mentions — Add files/symbols/URLs as context.
- Multi-LLM Selection — Pick Claude/GPT/Gemini per request.
- Neovim Plugin — Nvim integration.
- On-Prem Deploy (Enterprise) — Self-host full Sourcegraph + Cody.
- OpenCtx Extensions — Third-party context providers.
- Prompts Library — Team-wide reusable prompts.
- SSO (Enterprise) — SAML + OIDC.
- VS Code Extension — Primary IDE.
Developer interfaces
| Kind | Google Gemini API | Cody |
|---|---|---|
| CLI | — | src CLI (context tool) |
| SDK | @google/genai, google-genai-go, google-genai (Python) | — |
| REST | Gemini REST API, Vertex AI Endpoint | Cody API (Enterprise) |
| MCP | Gemini MCP | — |
| OTHER | — | Cody for JetBrains, Cody for Neovim, Cody for VS Code, Sourcegraph Cloud Web |
Staxly is an independent catalog of developer platforms. Some links to Google Gemini API and Cody may be affiliate links — Staxly may earn a commission if you sign up through them, at no extra cost to you. Pricing is verified against vendor pages at publication time — reconfirm before buying.
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