Chatbase or Make — comparison 2026

Chatbase VS Make

In short

  • Only Make offers free access.
Comparison Chatbase Make
Categories AI agents, Customer support Automation, AI agents

Pricing and payment

Pricing model Trial Trial
Starting price from $40/month Free
Free access Trial access Yes
Pricing plans
  • Free, Enterprise — Price not specified
  • Hobby — $40/month
  • Standard — $150/month
  • Pro — $500/month
  • Free — Free
  • Core (Pay annually, 10k credits/mo) — $10.59 / 10,000 credits
  • Pro (Pay annually, 10k credits/mo) — $18.82 / 10,000 credits
  • Teams (Pay annually, 10k credits/mo) — $34.12 / 10,000 credits
  • Enterprise — Contact for pricing
Regional payment options Pay directly on the website Pay directly on the website
Pricing last changed

Ratings and reviews

Editorial assessment Good specialized service Strong technology platform
Functionality Good High
Price and value Average Good
Ease of use Good Average
Reliability and support Average Good
Innovation Good Good
User rating +2 +1
User reviews 6
Average review score 3.8 out of 5 · rated reviews: 6

Data freshness

Service status Online, checked Online, checked
Last full review of the listing
Checked

Values come from catalog data: collected pricing, editorial assessments, reviews and the verification history. How we assess tools

What they share and how they differ

Only Chatbase

Ticket resolutionCustomer supportAI agent developmentChatbot buildingKnowledge management

Only Make

Workflow automationService integrationNo-code automationAI agent orchestration
Chatbase Chatbase
Good specialized service +2

Pros

  • Flexible model selection with support for OpenAI, Anthropic Claude, Google Gemini, DeepSeek, and Grok
  • Procedural agent workflows that trigger external REST APIs, webhooks, and third-party actions
  • Omnichannel coverage spanning website embeds, email, Slack, WhatsApp Catalog, and SIP voice telephony
  • Developer-friendly tools including streaming REST APIs, command-line management, and mobile SDKs

Cons

  • Closed RAG pipeline without low-level control over chunk size, overlap, or custom embedding models
  • Exclusively cloud-hosted SaaS with no option for self-hosted or on-premise deployment
  • Steep pricing jumps between intermediate and advanced tiers for high-volume teams
  • Reports of sluggish support response times during complex configuration or billing inquiries
Make Make
Strong technology platform +1

Pros

  • Granular visual flow control with native iterators, aggregators, and parallel routers
  • Deep AI catalog with native modules for OpenAI, Anthropic Claude, Google Gemini, and custom REST endpoints
  • Sophisticated error directives including automatic retries via execution queues
  • Native autonomous agent framework supporting Model Context Protocol (MCP) and tool use

Cons

  • Steep learning curve requiring a clear grasp of JSON schemas, arrays, and API logic
  • Strict runtime constraints including a 40-second webhook response timeout and per-step payload limits
  • Complex, sprawling scenarios become difficult to inspect and maintain without strict documentation