Google Gemini API vs Make
Gemini 2.5 Pro, Flash, Flash-Lite — multimodal + 2M context
vs. Visual workflow automation (formerly Integromat) — deeper than Zapier
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
Make
Free
$0. 1,000 operations/month. 3,000+ apps. Basic support. Min 15-min scheduling interval.
Free
Core
$9/mo. 10,000 operations. Unlimited active scenarios. Sub-minute scheduling. API access.
$9/mo
Pro
$16/mo. 10,000 operations. Priority execution. Custom variables. Full-text log search.
$16/mo
Teams
$29/mo. Team roles. Scenario templates. Share with team.
$29/mo
Enterprise
Custom. Custom functions, 24/7 support, overage protection, advanced security.
Custom
Free-tier quotas head-to-head
Comparing free-tier on Google Gemini API vs free on Make.
| Metric | Google Gemini API | Make |
|---|---|---|
| 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.
Make · 16 features
- 3,000+ Apps — Huge integration catalog.
- Custom Apps SDK — Build your own app integrations with Apps SDK.
- Custom Functions (Ent) — Enterprise-only: define reusable functions.
- Custom Webhooks — Webhook triggers + responses.
- Data Stores — Make-native DB for cross-scenario state.
- Data Structures — Shared schemas for mapping.
- Error Handlers — Per-module error routes (rollback, resume, ignore).
- Execution Log — Per-operation input/output detail.
- Formula Editor — Rich formula language for data transformation.
- HTTP Module — Generic HTTP client — call any API.
- Iterator + Aggregator — Loop over arrays + collect results.
- Make AI Agents — Autonomous AI agents that invoke Make modules as tools.
- Router — Branch scenarios into multiple paths with conditions.
- Scenario Templates — Pre-built templates + community marketplace.
- Scheduling — Sub-minute scheduling on paid. 15-min min on Free.
- Visual Scenario Editor — Node-based canvas with curved connections.
Developer interfaces
| Kind | Google Gemini API | Make |
|---|---|---|
| CLI | — | Make CLI (for Apps SDK) |
| SDK | @google/genai, google-genai-go, google-genai (Python) | Apps SDK |
| REST | Gemini REST API, Vertex AI Endpoint | Make API |
| MCP | Gemini MCP | Make MCP |
| OTHER | — | Custom Webhooks, Make Web Editor |
Staxly is an independent catalog of developer platforms. Outbound links to Google Gemini API and Make are plain references to their official websites. Pricing is verified against vendor pages at publication time — reconfirm before buying.
Want this comparison in your AI agent's context? Install the free Staxly MCP server.