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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.

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
Modal logo
Modal
✓ verifiedFreemium

Serverless AI cloud for running inference, training and sandboxes on GPUs with fast cold starts and pay-per-use billing.

988K visits/mo
Polsia logo
Polsia
✓ verified

Claims a fully autonomous AI system that runs companies 24/7; overreaching pitch, thin proof.

1.4M visits/mo
Paperclip - ing logo
Paperclip - ing
✓ verifiedFree

Open-source, self-hosted app to manage teams of AI agents like a company - org chart, goals, budgets and per-agent approvals.

942K visits/mo
MuleRun logo
MuleRun
✓ verifiedFreemium

Always-on cloud AI agent that runs multi-step workflows and monitoring on a dedicated 24/7 VM to automate business tasks.

908K visits/mo
Pricing
GPT-OSS 20B: $0.075 per 1M input tokens ($0.30 per 1M output)
GPT-OSS 120B: $0.15 per 1M input tokens
Starter: $0/mo + compute ($30 free credit)
Team: $250/mo + compute

No public pricing

No public pricing

Free: $0 (200 daily bonus credits, 10 tasks)
Plus: $16/mo (2,000 credits/mo)
Super: $32/mo (4,500 credits/mo)
Pro: $160/mo (23,000 credits/mo)
Core features
  • 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
  • Serverless GPU compute defined in Python
  • Sub-second container cold starts
  • Autoscale 0 to 1000+ GPUs
  • Inference, training and batch workloads
  • Secure sandboxes for untrusted code
  • Built-in logging and observability
  • Autonomous planning, coding, and marketing
  • 24/7 continuous business operations
  • Third-party tool integrations (Email, Social, Payments)
  • Self-adapting and data-driven optimization
  • Founder inbox management and VC negotiation
  • Live dashboard for real-time task tracking
  • Manage teams of AI agents
  • Bring-your-own-agent (any runtime/provider)
  • Org chart with roles and reporting lines
  • Goal alignment for tasks
  • Per-agent budget and cost controls
  • Ticket system with full audit trail
  • Always-on agent on a dedicated 24/7 VM
  • Multi-step task automation (docs, PPT, video, research)
  • Proactive monitoring with alerts and actions
  • Shared/self-improving agent knowledge network
  • Page deployment and drive storage
Use cases
  • Running LLM inference at high speed
  • Cutting inference costs at scale
  • Powering low-latency AI chat apps
  • Serving models via a hosted API
  • Deploying and scaling model inference
  • Fine-tuning and training models
  • Running batch/parallel AI jobs
  • Executing untrusted code in sandboxes
  • Building and launching a startup with zero human staff
  • Automating multi-channel marketing and content promotion
  • Maintaining and updating software products on autopilot
  • Managing investor relations and daily business workflows autonomously
  • Orchestrating agents across business functions
  • Running dev, marketing and research agents
  • Building autonomous-business workflows
  • Governing and budgeting agent work
  • Automating recurring business workflows overnight
  • Generating reports, documents and presentations
  • Monitoring uptime, pricing or metrics with auto-actions
  • Running research and content tasks hands-off
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