Gemini vs Make

Side-by-side comparison — features, pricing, pros and cons

Freemium

4.3

העוזר הרב-מודאלי של Google, בנוי על ארכיטקטורת Gemini 3.1, בולט בשילוב עמוק עם Google Workspace ותוצאה של 77.1% במבחן ARC-AGI-2. זמין בשלוש רמות: חינמי, AI Pro ו-Ultra עם הקשר וגישה למודלים מתקדמים. המתחרה החזק ביותר ל-ChatGPT למשתמשי Google.

קטגוריה:AI Assistants

תכונות

Gemini 3.1 Pro model with multimodal input (text, image, audio, video)
77.1% score on ARC-AGI-2 abstract reasoning benchmark
Deep integration with Gmail, Docs, Sheets, Drive, and Meet
NotebookLM integration for research with source citations
Google Search grounding for real-time factual responses
+3 נוספים

יתרונות

Google Search grounding provides current information without hallucination risk of pure model outputs
Native Google Workspace integration means no copy-pasting between tools for Docs/Sheets users
ARC-AGI-2 score of 77.1% leads all commercial models on abstract reasoning tasks
NotebookLM included in AI Pro tier provides citation-backed research at no extra cost

חסרונות

AI Ultra at $250/mo is 12.5x the price of Pro with modest real-world gains for most use cases
Gemini 3.1 Ultra access is gated to Ultra tier; Pro users get 3.1 Pro which lags on creative tasks
Google Workspace integration requires organizational admin approval, blocking individual use in enterprise
Voice mode is less natural than ChatGPT's real-time voice in head-to-head comparisons
Data privacy terms differ from ChatGPT; free tier data may be used for model training by default

בקרו באתר

Make

Freemium

4.1

Visual automation platform (formerly Integromat) known for a scenario builder that makes data transformation and routing logic easier to visualize than Zapier's linear flow model. At $9-16/mo for 10,000-40,000 operations, it sits between free tools and enterprise platforms. Strong for teams doing complex multi-branch data processing without writing code.

קטגוריה:Workflow Automation

תכונות

Visual scenario builder with non-linear, branching workflow visualization
2,000+ app integrations including HTTP/REST and webhooks for custom APIs
Advanced router modules for conditional branching and data filtering
Data store: built-in lightweight database for state persistence between scenarios
JSON/XML parsing and transformation with no-code tools
+3 נוספים

יתרונות

Non-linear visual builder is significantly clearer than Zapier for workflows with multiple branches and conditions
Operations-based pricing means 1 automation with 5 steps costs 5 ops — often cheaper than per-task Zapier pricing
Data Store allows state to persist between runs without an external database for simple key-value use cases
Free tier includes 1,000 operations/month — enough for testing before committing to a paid plan

חסרונות

AI node support is limited compared to n8n — building LLM pipelines requires more manual HTTP module work
Scenario builder becomes visually complex (hard to read) on workflows with 30+ modules
Free tier requires manual scenario activation — paid plan required for scheduled automatic runs
No self-hosting option — all data flows through Make's cloud infrastructure
Cost scales linearly with operation count, not workflow count; high-frequency scenarios become expensive at $9/mo base

בקרו באתר

כלי	Geminiלפרטים →	Makeלפרטים →
תמחור	Freemium	Freemium
דירוג	4.3	4.1
קטגוריה	AI Assistants	Workflow Automation
תיאור	העוזר הרב-מודאלי של Google, בנוי על ארכיטקטורת Gemini 3.1, בולט בשילוב עמוק עם Google Workspace ותוצאה של 77.1% במבחן ARC-AGI-2. זמין בשלוש רמות: חינמי, AI Pro ו-Ultra עם הקשר וגישה למודלים מתקדמים. המתחרה החזק ביותר ל-ChatGPT למשתמשי Google.	Visual automation platform (formerly Integromat) known for a scenario builder that makes data transformation and routing logic easier to visualize than Zapier's linear flow model. At $9-16/mo for 10,000-40,000 operations, it sits between free tools and enterprise platforms. Strong for teams doing complex multi-branch data processing without writing code.
תכונות
Gemini 3.1 Pro model with multimodal input (text, image, audio, video)
77.1% score on ARC-AGI-2 abstract reasoning benchmark
Deep integration with Gmail, Docs, Sheets, Drive, and Meet
NotebookLM integration for research with source citations
Google Search grounding for real-time factual responses
Code execution sandbox for Python data analysis
AI Ultra tier with access to Gemini 3.1 Ultra model
Gemini API with 2M token context for developers
Visual scenario builder with non-linear, branching workflow visualization
2,000+ app integrations including HTTP/REST and webhooks for custom APIs
Advanced router modules for conditional branching and data filtering
Data store: built-in lightweight database for state persistence between scenarios
JSON/XML parsing and transformation with no-code tools
Scenario scheduling: minute-level granularity on triggers
Error handling routes for automatic retry and failure notification
Team features: shared scenarios, scenario logs, version history
יתרונות
	Google Search grounding provides current information without hallucination risk of pure model outputs Native Google Workspace integration means no copy-pasting between tools for Docs/Sheets users ARC-AGI-2 score of 77.1% leads all commercial models on abstract reasoning tasks NotebookLM included in AI Pro tier provides citation-backed research at no extra cost	Non-linear visual builder is significantly clearer than Zapier for workflows with multiple branches and conditions Operations-based pricing means 1 automation with 5 steps costs 5 ops — often cheaper than per-task Zapier pricing Data Store allows state to persist between runs without an external database for simple key-value use cases Free tier includes 1,000 operations/month — enough for testing before committing to a paid plan
חסרונות
	AI Ultra at $250/mo is 12.5x the price of Pro with modest real-world gains for most use cases Gemini 3.1 Ultra access is gated to Ultra tier; Pro users get 3.1 Pro which lags on creative tasks Google Workspace integration requires organizational admin approval, blocking individual use in enterprise Voice mode is less natural than ChatGPT's real-time voice in head-to-head comparisons Data privacy terms differ from ChatGPT; free tier data may be used for model training by default	AI node support is limited compared to n8n — building LLM pipelines requires more manual HTTP module work Scenario builder becomes visually complex (hard to read) on workflows with 30+ modules Free tier requires manual scenario activation — paid plan required for scheduled automatic runs No self-hosting option — all data flows through Make's cloud infrastructure Cost scales linearly with operation count, not workflow count; high-frequency scenarios become expensive at $9/mo base
אתר	בקרו	בקרו