Alloy vs Soup CLI: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Alloy and Soup CLI — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Alloy
Alloy
Create pixel-perfect, interactive prototypes by capturing your real product pages across desktop and mobile.
Key features
- Instant Browser Capture: A browser extension captures live product pages and UI state instantly to create prototypes that mirror the real product’s visuals and layout.
- Pixel-Perfect Prototypes: Builds lifelike, pixel-accurate prototypes that preserve styling and layout for realistic demos and usability testing.
- Interactive Behavior: Supports interactive prototypes with realistic navigation and interactions so stakeholders can experience flows like the real product.
- Cross-Platform Clients: Desktop (macOS, Windows), web, iOS and Android apps allow capturing, viewing, and testing prototypes across devices.
- AI-Powered Prototyping: Uses AI to accelerate prototype generation and streamline the process of converting captured pages into interactive mockups.
- Real-Time Mobile Collaboration: Mobile app features enable real-time communication and synchronization between devices for field teams and device testing.
- Sharing & Team Workflows: Tools to share prototypes with teammates and customers for feedback, demos, and user testing with minimal setup.
- Quick Start Guides: Step-by-step documentation and guides to get started quickly, including capturing pages and building shareable prototypes.
- Instantly capture real product pages from the browser via a browser extension
- Generate lifelike, interactive prototypes that mirror the real product UI
- Cross-platform apps: macOS, Windows, Web, iOS and Android
- AI-powered assistance for rapid prototyping (public content references AI-powered prototyping)
- Share prototypes with teams and customers for feedback and demos
- Alloy Mobile for real-time communication between devices/field users
Best for
- Rapid UX Validation: Capture a live web page and convert it into a clickable prototype to run usability tests with users within hours.
- Stakeholder Demos: Produce pixel-perfect interactive demos from the actual product to show realistic flows to customers or executives.
- Cross-Device Testing: Use desktop and mobile clients to test interactions and layouts across platforms and replicate real-device behavior.
- Field Collaboration: Equip field teams with Alloy Mobile to communicate in real time between devices and validate device-specific workflows.
- Design Iteration: Quickly capture current product screens, iterate on interactions, and share updated prototypes for fast feedback cycles.
- Pre-Release QA: Create prototypes from the production UI to validate edge-case interactions and flows before shipping changes to users.
- Design teams creating high-fidelity prototypes that match the live product for usability testing
- Product teams demonstrating realistic product flows to stakeholders and customers
- Marketing and sales teams preparing interactive demos that reflect current product UI
- Field teams using Alloy Mobile for real-time device-to-device communication during installations or on-site workflows
S
Soup CLI
MePlay, Inc.
Open-source CLI that runs the whole LLM post-training stack — SFT, DPO, ORPO — on a 4GB laptop GPU.
Key features
- Whole Post-Training Stack: SFT, DPO, ORPO, SimPO, KTO, and more in one CLI.
- Low-VRAM Streaming: Fine-tune Llama-3.1-8B on a 4 GB GPU by streaming the base from RAM/NVMe.
- Auto-Configured Runs: Task, LR, epochs, and quantization derived from rules instead of grid search.
- Self-Healing Training: Detects and self-corrects reward hacking mid-run.
- One-Command Migration: `soup migrate` converts LLaMA-Factory, Axolotl, and Unsloth configs.
- Ship Gate: Every checkpoint is evaluated and either passes or is rejected before saving.
- Broad Ecosystem: Integrates with HuggingFace, Ollama, vLLM, DeepSpeed, Unsloth, ONNX, TensorRT, W&B.
- MLX + Apple Adapter: First-class Apple silicon support.
Best for
- Fine-tuning open-source LLMs on a consumer laptop GPU
- Post-training alignment (DPO/ORPO) without a rented A100
- Migrating existing LLaMA-Factory / Axolotl pipelines to a simpler workflow
- Producing evaluated, ship-gated checkpoints for internal deployment
- Researchers experimenting with 23 training methods without rewriting scripts