Head to head

ChatGPT vs Make

No endless tables — just the differences that matter, and a clear call. Pick two tools and see who takes it.

The facts, side by side

ChatGPT Make

Pricing

ChatGPTFreemium

MakeFreemium

Rating

ChatGPT4.5

Make4.1

Description

ChatGPTOpenAI'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.

MakeVisual 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.

GPT-5.4 model with 1M token context window

ChatGPT

Make

Computer-use feature for desktop task automation

ChatGPT

Make

Codex App integration for autonomous coding agents

ChatGPT

Make

Voice mode with real-time conversation

ChatGPT

Make

DALL-E image generation built in as GPT Image

ChatGPT

Make

File upload and analysis (PDF, CSV, images, code)

ChatGPT

Make

Custom GPTs marketplace with 3M+ published agents

ChatGPT

Make

Projects feature for persistent context across sessions

ChatGPT

Make

Visual scenario builder with non-linear, branching workflow visualization

ChatGPT

Make

2,000+ app integrations including HTTP/REST and webhooks for custom APIs

ChatGPT

Make

Advanced router modules for conditional branching and data filtering

ChatGPT

Make

Data store: built-in lightweight database for state persistence between scenarios

ChatGPT

Make

JSON/XML parsing and transformation with no-code tools

ChatGPT

Make

Scenario scheduling: minute-level granularity on triggers

ChatGPT

Make

Error handling routes for automatic retry and failure notification

ChatGPT

Make

Team features: shared scenarios, scenario logs, version history

ChatGPT

Make

Pros

ChatGPT

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

Make

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

ChatGPT

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

Make

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

Tool	ChatGPT	Make
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.
GPT-5.4 model with 1M token context window	Supported	Not supported
Computer-use feature for desktop task automation	Supported	Not supported
Codex App integration for autonomous coding agents	Supported	Not supported
Voice mode with real-time conversation	Supported	Not supported
DALL-E image generation built in as GPT Image	Supported	Not supported
File upload and analysis (PDF, CSV, images, code)	Supported	Not supported
Custom GPTs marketplace with 3M+ published agents	Supported	Not supported
Projects feature for persistent context across sessions	Supported	Not supported
Visual scenario builder with non-linear, branching workflow visualization	Not supported	Supported
2,000+ app integrations including HTTP/REST and webhooks for custom APIs	Not supported	Supported
Advanced router modules for conditional branching and data filtering	Not supported	Supported
Data store: built-in lightweight database for state persistence between scenarios	Not supported	Supported
JSON/XML parsing and transformation with no-code tools	Not supported	Supported
Scenario scheduling: minute-level granularity on triggers	Not supported	Supported
Error handling routes for automatic retry and failure notification	Not supported	Supported
Team features: shared scenarios, scenario logs, version history	Not supported	Supported
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
Website	Visit	Visit

The facts, side by side

Pricing

Rating

Category

Description

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

Cons