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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

Coze AI logo
Coze AI
✓ verifiedFreemium

ByteDance's no-code platform for building and deploying AI chatbots and agents with plugins and workflows.

689K visits/mo
Dust logo
Dust
✓ verifiedFree

AI assistant for teams with secure LLM and company-knowledge access.

692K visits/mo
Dify.ai logo
Dify.ai
✓ verifiedFreemium

Open-source platform to build, deploy and monitor agentic AI workflows and RAG apps, with cloud, self-host and enterprise options.

1.1M visits/mo
Verdent logo
Verdent
✓ verifiedFreemium

Credit-based AI coding agent that builds full applications from plain-language instructions, including backend, billing, and admin features.

1.0M visits/mo39K saves
Kiro AI logo
Kiro AI
✓ verifiedFreemium

Kiro is a spec-driven agentic coding tool for IDE, CLI and web that turns prompts into specs and catches bugs with property-based tests.

3.8M visits/mo
Pricing

No public pricing

No public pricing

Sandbox: Free (200 message credits)
Professional: $590/workspace/year
Team: $1,590/workspace/year
Starter: $19/mo (480 credits/mo including bonus)
Pro: $59/mo (1,500 credits/mo including bonus)
Max: $179/mo (4,500 credits/mo including bonus)
Teams: $20/user/mo (480 credits/user/mo)

Free trial available

Free: $0/mo (50 credits)
Pro: $20/user/mo (1,000 credits)
Pro+: $40/user/mo (2,000 credits)
Pro Max: $100/user/mo (5,000 credits)
Power: $200/user/mo (10,000 credits)
Core features
  • No-code bot and agent builder
  • LLM-powered conversations
  • Plugin ecosystem
  • Visual workflow builder
  • Knowledge base (RAG)
  • Multi-channel publishing
  • Unified and safe access to GPT-4
  • Connection to team's data for up-to-date answers
  • Customizable AI agent building without code
  • Team collaboration features for sharing prompts and conversations
  • Suggestions for documentation updates and improvements
  • Visual workflow studio for agents
  • RAG knowledge pipelines
  • Agent runtime with tools and memory
  • Marketplace of models and plugins
  • Publish as app, API or MCP tool
  • Logging, analytics and monitoring
  • Builds complete apps (auth, storage, payments, admin) from natural-language prompts
  • Runs on top of multiple frontier coding models
  • Retains full project context across sessions for incremental feature additions
  • Remote task submission via Slack/Telegram messaging
  • 'Eco Mode' for lower-cost usage without consuming credits
  • VS Code and JetBrains IDE integrations plus a desktop app
  • Spec-driven development (requirements, design, tasks)
  • Parallel agents, local or cloud
  • Property-based and correctness testing
  • Works in IDE, CLI, web and mobile
  • Multiple models (Claude, open-weight, Auto)
  • Headless CLI for CI/CD
  • Context from tools like Figma and Terraform
Use cases
  • Building customer-support bots
  • Deploying agents to messaging channels
  • Automating workflows
  • Prototyping AI assistants
  • RevOps & Sales: Create customer profiles, flag at-risk deals, analyze calls, generate SQL.
  • PMM & Marketing: Write on-brand content, create consistent messaging, translate content, extract insights.
  • Customer Support: Connect to knowledge base, identify product improvements, auto-create FAQs, provide real-time guidance.
  • Product & Design: Improve product copy, analyze customer sentiment, extract competitor insights, generate user stories.
  • Engineering: Review code, auto-create docs, compile incident timelines, generate SQL.
  • Data & Analytics: Enable non-technical teams to query data, automate reporting, transform insights, connect data sources.
  • Building AI agents and chatbots
  • Creating RAG-based knowledge apps
  • Deploying LLM apps at enterprise scale
  • Solo founders building a launchable product without a dev team
  • Developers offloading multi-step feature builds to an autonomous agent
  • Teams wanting a shared coding agent with pooled usage billing
  • Turning prompts into maintainable, spec-matched code
  • Catching bugs unit tests miss
  • Reviewing PRs and fixing bugs in CI/CD
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