Chatbase VS 
LeoAgent
In short
- Only LeoAgent offers free access.
Categories AI agents, Customer support AI agents, Customer support
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
- Старт — Free
- Базовый — RUB 1,990 / 5,000 tokens
- Профессиональный — RUB 9,900 / 30,000 tokens
- Бизнес — RUB 39,900 / 180,000 tokens
Regional payment options Pay directly on the website Pay directly on the website
Ratings and reviews
Editorial assessment Good specialized service Good specialized service
Functionality Good Good
Price and value Average Good
Ease of use Good Good
Reliability and support Average Good
Innovation Good Average
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
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
LeoAgent Good specialized service +1 Pros
- Cites specific documents and page numbers to prevent hallucinations
- Built-in automated test module flags contradictory documents prior to deployment
- Native support for practical business channels including Avito, Telegram, VK, and popular CRMs
- Multi-agent chaining allows complex workflows to be built without writing code
Cons
- Strictly focused on text and document processing without built-in media generation tools
- Answer quality remains heavily dependent on pre-cleaning conflicting historical documentation
- Usage across dialogues, sub-agents, and web scraping is bounded by monthly Processing Unit (PU) quotas
