Arcade AI vs Beam
Detailed side-by-side comparison to help you choose the right tool
Arcade AI
🔴DeveloperAI Infrastructure
Arcade AI is an MCP runtime for production agents focused on secure tool authorization, hosted MCP servers, and authenticated SaaS actions.
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CustomBeam
🔴DeveloperAI Infrastructure
Beam is AI infrastructure for developers: serverless sandboxes, task queues, and GPU model inference with sub-second cold starts and per-second billing. It is a Modal/RunPod competitor focused on AI primitives like vLLM, ComfyUI, and agent code sandboxing.
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Arcade AI - Pros & Cons
Pros
- ✓Clear differentiation: focuses on authenticated tool use and enterprise-ready MCP runtime, not generic workflow automation
- ✓Transparent pricing with a usable free Hobby tier and published Growth usage allowances
- ✓Strong fit for developers building agents that must safely act in SaaS tools
Cons
- ✗Developer infrastructure product; non-technical teams will need engineering support to implement it well
- ✗Usage-based pricing requires monitoring once agents run many authenticated actions
- ✗The value depends on whether your agent roadmap actually needs MCP-compatible tool execution
Beam - Pros & Cons
Pros
- ✓Publicly itemized per-second GPU pricing is unusually transparent for the category
- ✓Sandboxes for agent-generated code are a first-class primitive, not an afterthought
- ✓Single decorator gets a Python function onto a GPU with HTTPS in front of it
Cons
- ✗Usage-based billing can spike fast under unbounded autoscale — set alerts day one
- ✗Less general-purpose than Modal if you also want non-AI batch workflows
- ✗$30 free credit burns quickly on H100s — evaluation budget is smaller than it looks
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