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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.

DeepSeek logo
DeepSeek
✓ verifiedFreemium

Chinese AI lab DeepSeek offering free chat apps and low-cost API access to its frontier V-series and R-series reasoning models.

430M visits/mo
MindStudio logo
MindStudio
✓ verifiedFreemium

No-code visual builder to create, deploy and orchestrate AI agents across 200+ models, for individuals to enterprise.

1.8M 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
PicoClaw logo
PicoClaw
✓ verifiedFree

Ultra-lightweight, self-hosted open-source AI assistant in Go that runs on sub-$10 hardware like Raspberry Pi with under 10MB RAM.

81K visits/mo
BoltAI logo
BoltAI
✓ verifiedPaid

Native macOS app that unifies 300+ AI models in one private workspace with agents, MCP tools, and one-time licensing.

81K visits/mo33K saves
Pricing

No public pricing

Free: $0 + usage (1 agent, 1,000 runs/mo)
Individual: $20/mo + usage (unlimited agents and runs)
Sandbox: Free (200 message credits)
Professional: $590/workspace/year
Team: $1,590/workspace/year

No public pricing

Essential: $79 (1 seat, one-time)
Pro: $99 (2 seats + 1 mobile, one-time)
Team Perpetual: $99/seat/year

Free trial available

Core features
  • Free DeepSeek chat (web and app)
  • Open API platform
  • V-series and R-series reasoning models
  • DeepSeek-V4 with long context and stronger agent ability
  • OpenAI/Anthropic-compatible API
  • Extensive published model lineup
  • No-code visual agent builder
  • 200+ AI models via service router
  • 100+ prebuilt templates
  • Agent skills, plugins and workflows
  • AI Media Workbench for video/image
  • Enterprise controls (SSO, permissions, self-host)
  • 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
  • Single self-contained binary requiring under 10MB RAM
  • Sub-1-second startup even on low-power processors
  • Support for 16+ chat channels including Telegram, Discord, Slack, WeCom
  • Compatibility with multiple LLM providers (OpenAI, Claude, DeepSeek, Gemini, etc.)
  • Runs on Raspberry Pi, RISC-V, ARM64, x86_64, Android, and Docker
  • Self-hosted design keeping data and configuration local
  • Gateway/API mode for connecting to chat platforms via MCP protocol
  • Switch across 300+ hosted and local AI models
  • Native macOS app with global shortcut and screenshot-to-answer
  • Reusable agents, projects, and forked chats
  • Multimodal analysis of PDFs, images, and code
  • MCP tools and code execution
  • Local chat storage with encryptable API keys
Use cases
  • Free AI chat and assistance
  • Building apps via API
  • Reasoning and coding tasks
  • Low-cost LLM inference
  • Automating business workflows
  • Building custom AI agents without code
  • Content and media generation
  • Deploying agents across a team or org
  • Building AI agents and chatbots
  • Creating RAG-based knowledge apps
  • Deploying LLM apps at enterprise scale
  • Running a private AI assistant on minimal or embedded hardware
  • Local code assistance that keeps proprietary code off the cloud
  • Home automation and personal task scheduling via chat bots
  • Privacy-conscious users wanting self-hosted AI on low-cost devices
  • Using multiple AI providers in one place
  • Explaining or fixing on-screen content instantly
  • Building reusable task-specific agents
  • Analyzing documents and screenshots privately
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