OpenAI
generalOpenAI's main chat interface, supporting GPT-4o, image input, voice, browsing, and DALL-E generation
Browse the best freemium chat tools on Listof.Best — 190 options, ranked by popularity. Compare features, pricing and alternatives at a glance.
OpenAI's main chat interface, supporting GPT-4o, image input, voice, browsing, and DALL-E generation
Meta's assistant built into WhatsApp, Instagram, and the web
Anthropic's AI assistant with a very large context window
Customer support automation with live chat
Live meeting transcription and instant summaries
Enterprise voice AI with deepfake detection and compliance
AI customer support with helpdesk and chat
Privacy-focused search engine with Bang commands
Customer support for e-commerce in 100+ languages
AI chatbot for conversations and integrations
AI agents for personalized customer support in commerce
AI agents for ecommerce support, sales, and chat
Generate meeting summaries and action items
Customer support with AI and live chat
Provide customer context to AI agents via API or UI
Custom AI agents for sales automation and 24/7 support
AI chatbots that answer student questions instantly
AI customer agent for regulated European businesses
Customer support agents that live in your apps
AI-powered tool for faster, more accurate typing
Sales conversation intelligence and automation
Chat with millions of AI characters
AI note-taking for meetings without a bot
Practice job interviews with AI questions and answers
The breadth here is significant. On one end are end-user chat applications where you interact with an AI directly, like CogBias AI or Eloquens AI. On the other are platforms like Markprompt that let you build custom chat interfaces on top of your own documentation or knowledge base. Sales-specific tools like Salesably and Triple Session focus on coaching and call analysis rather than open-ended conversation. Customer support tools like Watchdog.chat and AIPEX are deployed externally, handling queries on behalf of a business. When evaluating, the key question is whether you need a ready-made chat product or infrastructure to build your own. For the latter, the quality of the RAG pipeline, latency, and customization options matter most. For end-user products, context retention across sessions and instruction-following quality are the main differentiators. Pricing varies from free tiers to per-conversation billing.