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Maritime vs BenchRouter

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Maritime compared with BenchRouter
DetailMaritime logo MaritimeBenchRouter logo BenchRouter
What it doesCloud computers for AI agents, billed per second Pick your AI model based on evaluation results, not intuition
StageNot given Not given
FoundedNot given Not given
Based inNot given US
Pricing modelFreemium Not given
PricingStarter $20/month ($20 usage credit, 5 machines awake), Growth $100/month ($100 usage credit, 25 machines awake), Scale $500/month ($500 usage credit, 60 machines awake), Dedicated $5,000/month ($5,000 usage credit, 500 machines awake). Agent boxes $1/month per 2 GB. Sandboxes from $0.011/hour. Linu Not given
Key features
  • Agent boxes with persistent disk that sleep when idle and wake in about a second
  • Sandboxes for running untrusted or generated code, deleted when task ends
  • Swarms to run thousands of sandboxes on one command for evals and training
  • Linux desktops that agents can see, click and type on with human takeover
  • Windows desktops for desktop apps with Windows Server 2022 and included licence
  • Android phones with AOSP Android 15 for mobile app automation and app installs
  • Deploy agents from templates, GitHub repos or Docker images
  • Marketplace with pre-configured desktop images and software
  • Plan fees convert to usage credit with per-second billing for machines
  • Automatic model routing based on evaluation results
  • GitHub repository integration for eval workflows
  • Stores evidence of evaluation results
  • Automatic re-evaluation when new models are released
  • Dashboard for monitoring routes
  • MCP server integration with ChatGPT, Claude, and Cursor
  • Configurable evaluation checks and criteria
What makes it different
  • Per-second billing instead of hourly, with plan fees that convert to usage credit
  • Agent boxes cost $1/month per 2 GB awake or asleep, enabling persistent agents at low cost
  • Support for computer use with visual interfaces (Linux, Windows, Android)
  • Swarms enable efficient batch processing and evaluation at scale
  • Test your own LLM applications against real models automatically
  • Routes requests to the best-performing model in real time
  • Automatically updates routing when new models are released
  • Keeps your eval results and configurations under your control
Community votes00
DR (Domain Rating by Ahrefs)28 +1 (up) since last checkNot checked yet no change since last check
Trust Flow (Majestic)100
Citation Flow (Majestic)330
Referring domains (Majestic)2140

3 details filled in for both companies.

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