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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.

Dust logo
Dust
✓ verifiedFree

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

692K visits/mo
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
Groq logo
Groq
✓ verifiedFreemium

Fast, low-cost AI inference provider running LLMs on custom LPU chips via GroqCloud's pay-as-you-go API.

3.6M visits/mo
Pricing

No public pricing

No public pricing

GPT-OSS 20B: $0.075 per 1M input tokens ($0.30 per 1M output)
GPT-OSS 120B: $0.15 per 1M input tokens
Core features
  • 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
  • No-code bot and agent builder
  • LLM-powered conversations
  • Plugin ecosystem
  • Visual workflow builder
  • Knowledge base (RAG)
  • Multi-channel publishing
  • LPU custom inference hardware
  • GroqCloud tokens-as-a-service API
  • High-speed, low-latency inference
  • Pay-as-you-go token pricing
  • Free API key to start
  • Broad open-model support
Use cases
  • 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 customer-support bots
  • Deploying agents to messaging channels
  • Automating workflows
  • Prototyping AI assistants
  • Running LLM inference at high speed
  • Cutting inference costs at scale
  • Powering low-latency AI chat apps
  • Serving models via a hosted API
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