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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.

Abacus.AI logo
Abacus.AI
✓ verifiedPaid

AI super-assistant plus enterprise ML platform: ChatLLM for teams and end-to-end model building for enterprises; broad, pricing not shown.

4.3M visits/mo
4.4M visits/mo
Design Arena logo
Design Arena
✓ verifiedFree

Free crowdsourced benchmark that pits top AI models head-to-head on design tasks and ranks them by public votes.

1.5M visits/mo
218K visits/mo
Jan.ai logo
Jan.ai
✓ verifiedFree

Open-source desktop app for running AI chat models locally or via APIs, as a private ChatGPT alternative.

378K visits/mo609 saves
Pricing

No public pricing

No public pricing

No public pricing

No public pricing

No public pricing

Core features
  • ChatLLM access to multiple top AI models
  • AI agents and automation
  • No-code full-stack app creation
  • Enterprise generative AI platform
  • Structured ML model building
  • Optimization and forecasting
  • Dialogue with GLM large model
  • AI search
  • AI drawing
  • AI reading
  • AI-generated video (沉思清影-AI生视频)
  • AI-generated PPT
  • Data analysis tools
  • Code assistance (代码速写)
  • Intelligent agents
  • Side-by-side model output comparison
  • Public voting on results
  • Leaderboards ranking AI models by 'taste'
  • Coverage of websites, games, 3D, UI, images, logos, SVG, video and slides
  • LLM API router
  • OpenAI API proxy
  • Model aggregation (OpenAI, Gemini, DeepSeek, Llama, Qwen, Claude, etc.)
  • Unified OpenAI API standard
  • Unlimited concurrency
  • Run open-source LLMs locally
  • Connect to online models (OpenAI, Claude, Gemini)
  • Private, offline-capable AI chat
  • Open source and self-hostable
  • Model library via Hugging Face
  • Cross-platform desktop app
Use cases
  • Chat with many AI models in one place
  • Build and deploy ML models
  • Automate tasks with AI agents
  • Engaging in conversations with an AI model
  • Generating images and videos using AI
  • Creating presentations with AI assistance
  • Analyzing data with AI tools
  • Assisting with code development
  • Compare which AI model produces the best design output
  • Track AI design model rankings
  • Discover models for a specific creative task
  • Integrating multiple AI models into applications using a single API
  • Accessing the latest AI models through a unified interface
  • Managing and scaling AI model usage with unlimited concurrency
  • Private local AI chat
  • Using multiple models in one app
  • Avoiding cloud data sharing
  • Experimenting with open models
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