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FoxPhone vs Loops

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

FoxPhone compared with Loops
Detail FoxPhoneLoops logo Loops
What it doesCloud-hosted Android device platform for secure multi-account management and automation Python SDK for LoRA fine-tuning with supervised fine-tuning and reinforcement learning
StageNot given Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelFreemium Not given
PricingFrom $0.99/day for cloud phones. Usage-based pricing with daily and hourly options. Free trials or credits may be available depending on region and plan. Not given
Key features
  • Hardware-level isolation with unique device identifiers (IMEI, MAC, SIM profiles)
  • Multi-Control Sync for batch operations across instances
  • Browser-based access without local installation
  • 24/7 cloud server operation with enterprise-grade infrastructure
  • Global GPS and SIM simulation across 150+ countries
  • Bulk app installation, uninstallation, and launch
  • Android 15 with native ARM hardware support
  • SOCKS5 and HTTP proxy configuration for each instance
  • ADB and automation script support
  • One-click snapshots and cloud storage synchronization for backup
  • forward_backward() operation for computing loss and accumulating gradients
  • optim_step() for updating the adapter
  • sample() for generating from current or saved policy
  • save_state() to save and resume training state
  • Tinker API compatibility
  • Separate trainer and sampler resources
  • Synchronous and asynchronous RL patterns
  • Frozen base model weights with LoRA adapter updates
  • Support for open models from Qwen, Google, DeepSeek, Moonshot AI, NVIDIA, and Z.ai
What makes it different
  • No local hardware required - runs entirely on ARM-based cloud servers without consuming PC CPU or RAM
  • Industry-first privacy-focused Android 15 with real device fingerprints to reduce platform risk
  • Lower infrastructure overhead by 70% compared to physical device setups
  • Instant scaling and flexible pay-as-you-go pricing with no long-term commitments
  • Prevents account association and detection through isolated profiles and unique device parameters
  • Managed training and sampling infrastructure, no setup required
  • Tinker-compatible API for easy migration
  • Ready-made SFT and RL recipes through Loops cookbook
  • Support for vision-language models
Community votes00
DR (Domain Rating by Ahrefs)40 +1 (up) since last check77 no change since last check
Trust Flow (Majestic)3113
Citation Flow (Majestic)3443
Referring domains (Majestic)107550

3 details filled in for both companies.

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