ChatGPT vs Make

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

Freemium

4.5

OpenAI's general-purpose AI assistant now powered by GPT-5.4 with 1M token context and computer-use capability for desktop automation. Supports text, voice, image, file, and code workflows in one interface. Used by 400M+ weekly active users across professional and consumer contexts.

Category:AI Assistants

Features

GPT-5.4 model with 1M token context window
Computer-use feature for desktop task automation
Codex App integration for autonomous coding agents
Voice mode with real-time conversation
DALL-E image generation built in as GPT Image
+3 more

Pros

Largest installed base means most third-party integrations and community resources
GPT-5.4 scores top-3 on most public benchmarks as of Q1 2026
Computer-use reduces need for separate automation tools for desktop workflows
Custom GPTs allow non-developers to build specialized assistants without code

Cons

Plus plan ($20/mo) imposes daily message limits on GPT-5.4; heavy users hit caps before noon
Computer-use feature is US-only and requires desktop app install as of March 2026
Context window degrades in quality above 600K tokens — 1M is theoretical max, not practical
Free tier locks users to older GPT-4o mini model, not GPT-5.4
Codex App autonomous tasks can consume credits unpredictably, reaching $50+ in a single session

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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.

Category:Workflow Automation

Features

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 more

Pros

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

Cons

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

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Tool	ChatGPTView details →	MakeView details →
Pricing	Freemium	Freemium
Rating	4.5	4.1
Category	AI Assistants	Workflow Automation
Description	OpenAI's general-purpose AI assistant now powered by GPT-5.4 with 1M token context and computer-use capability for desktop automation. Supports text, voice, image, file, and code workflows in one interface. Used by 400M+ weekly active users across professional and consumer contexts.	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.
Features
GPT-5.4 model with 1M token context window
Computer-use feature for desktop task automation
Codex App integration for autonomous coding agents
Voice mode with real-time conversation
DALL-E image generation built in as GPT Image
File upload and analysis (PDF, CSV, images, code)
Custom GPTs marketplace with 3M+ published agents
Projects feature for persistent context across sessions
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
Pros
	Largest installed base means most third-party integrations and community resources GPT-5.4 scores top-3 on most public benchmarks as of Q1 2026 Computer-use reduces need for separate automation tools for desktop workflows Custom GPTs allow non-developers to build specialized assistants without code	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
Cons
	Plus plan ($20/mo) imposes daily message limits on GPT-5.4; heavy users hit caps before noon Computer-use feature is US-only and requires desktop app install as of March 2026 Context window degrades in quality above 600K tokens — 1M is theoretical max, not practical Free tier locks users to older GPT-4o mini model, not GPT-5.4 Codex App autonomous tasks can consume credits unpredictably, reaching $50+ in a single session	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
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