Pmetal vs Spider Cloud

Side-by-side comparison of features, pricing, and ratings

Analysis generated Live tool data as of 2026-10-30
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Pmetal or Spider Cloud: which should you choose?

DimensionPmetalSpider Cloud
PurposeApple Silicon ML training & inferenceWeb data extraction & AI agent data retrieval
PlatformmacOS (Apple Silicon)Cloud API
Target UserML researchers, Apple native devsAI agent developers, RAG pipelines
Key FeatureMetal/ANE kernels, TurboQuant, multi-Mac trainingRust engine, AI Browser commands, 1k+ scrapers
LicenseFree (proprietary)Open-source core available

These tools serve completely different needs: Spider Cloud is for extracting web data into AI systems, while Pmetal is for training and running LLMs locally on Apple Silicon. Your choice should be based on your workflow—if you need real-time web content for LLMs, go with Spider Cloud; if you need to fine-tune or serve models on a Mac, Pmetal is the way. Price-wise, Spider Cloud charges per page ($0.003) with a free tier, Pmetal is free; but they address orthogonal tasks.

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Pmetal
Pmetal

Apple Silicon ML platform for training, serving, quantizing, and merging local models on M1–M5 Macs.

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Spider Cloud
Spider Cloud

Spider Cloud is a scraping, crawling, and web search API that returns clean markdown or JSON for AI agents and RAG pipelines.

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Pricing
Free
Paid
Plans
Open SourceFree
Pay as you go$1/GB
AI Studio AlphaFrom $6/mo
UnlimitedFrom $40/mo
EnterpriseCustom
Popularity
6 views
7.5k views
Skill Level
Advanced
Intermediate
API Available
Platforms
DesktopCLIAPI
WebAPIPlugin
Categories
💾 Local & On-Device AI🖥️ GPU Cloud & Model Inference
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Full-parameter pretraining for dense and MoE models from binary shards
Fine-tuning with SFT, LoRA, QLoRA, and DoRA
GRPO/DAPO alignment and RLKD
Distillation with ULD, GKD, MiniLLM, skewed JSD, hidden-state transfer, and offline teacher-logit caches
Embedding and encoder training with BERT, RoBERTa, DistilBERT, XLM-RoBERTa
OpenAI-compatible serving with continuous batching and shared prefix cache
Anthropic messages endpoint and embeddings endpoint support
TurboQuant KV cache compression targeting 4-6x for long-context inference
Paged-KV-style admission with concurrent decode slots (--cb-max-slots)
Multi-Mac distributed training: mDNS discovery, Thunderbolt-first fabric, ring all-reduce
Gradient compression with fp16 and other strategies
Model merging with SLERP, TIES, DARE, Fisher, RegMean, and MoE expert alignment
Quantization export to GGUF K-quants, legacy GGML, Q1/TQ/MXFP4/NVFP4/BF16, and MLX target-bpw
Metal 4 / MPP dispatch and persisted backend tuning on Apple10/M5
CLI, 20-workspace terminal TUI, 19-screen Tauri desktop GUI, MCP tools, and Rust/Python SDKs
Scrape a page into markdown, JSON, HTML, raw, or plain text
Crawl whole sites with each page streamed as one JSONL line in order
Web search endpoint returns SERP results plus the scraped pages behind them
Browser rendering runs scripts, loads lazy images, and reaches infinite scroll
Load protected pages through Spider's native browser engine with geo checks, returning 200
Full browser sessions over WebSocket at browser.spider.cloud
Provider router runs scrape and crawl requests on outside providers with your own keys
Prompt-based extraction returns named fields as JSON on scrape or crawl
Two-phase AI extraction: fast model for most pages, stronger for complex layouts
Data connectors stream crawl output to S3, GCS, Google Sheets, Azure Blob, or Supabase
Residential and ISP proxy pool with 215M+ exits in 199 countries
MCP server at mcp.spider.cloud for Claude Code, Codex, Cursor, and Claude Desktop
CLI that picks HTTP or a browser per page and stops at your budget
1,000+ scraper examples with working code
API responses in JSON, JSONL, CSV, and XML
Integrations
Hugging Face Hub
MLX
Metal
ANE
LangChain
LlamaIndex
CrewAI
FlowiseAI
Langflow
Dify
Agno
Claude Code
Codex
Cursor
Claude Desktop
Amazon S3
Google Cloud Storage
Google Sheets
Azure Blob Storage

Who should pick Pmetal, and who should pick Spider Cloud?

  • AI agent developer needing real-time web data
    Pick: Spider Cloud

    Spider Cloud provides a scraping API with AI extraction, Browser commands, and integrations with AI agent frameworks like LangChain and CrewAI.

  • ML researcher fine-tuning LLMs on MacBook
    Pick: Pmetal

    Pmetal offers local fine-tuning (LoRA/QLoRA), distributed training over Thunderbolt, and deep Apple Silicon optimizations, all for free.

  • Solo founder building a RAG chatbot
    Pick: Spider Cloud

    Requires web scraping for context; Spider Cloud's structured outputs and AI extraction simplify data ingestion into vector stores.

  • macOS power user running model inference locally
    Pick: Pmetal

    Pmetal provides high-performance inference using Metal/ANE and supports long-context serving with TurboQuant, ideal for on-device LLMs.

  • Team needing automated web scraping at scale
    Pick: Spider Cloud

    Spider Cloud's low cost ($0.003/page), 99.9% success rate, and data connectors to cloud storage make it suitable for bulk scraping.

Frequently Asked Questions

Pmetal vs Spider Cloud: which should you choose?

These tools serve completely different needs: Spider Cloud is for extracting web data into AI systems, while Pmetal is for training and running LLMs locally on Apple Silicon. Your choice should be based on your workflow—if you need real-time web content for LLMs, go with Spider Cloud; if you need to fine-tune or serve models on a Mac, Pmetal is the way. Price-wise, Spider Cloud charges per page ($0.003) with a free tier, Pmetal is free; but they address orthogonal tasks.

Can I use Spider Cloud to scrape websites for my AI agent?

Yes, Spider Cloud is designed for AI agents and RAG pipelines, with a search endpoint, AI extraction, and Browser AI commands via WebSocket.

Is Pmetal free?

Yes, Pmetal is completely free for Mac users with Apple Silicon (M1-M5).

Does Spider Cloud have an open-source version?

Yes, Spider Cloud's core is open-source and available on GitHub.

Can Pmetal train models across multiple Macs?

Yes, Pmetal supports multi-Mac distributed training over Thunderbolt.

What integrations does Spider Cloud support?

It integrates with LangChain, LlamaIndex, CrewAI, Flowise, AutoGen, Agno, Dify, and cloud storage services like S3, GCS, and Supabase.

Does Pmetal support fine-tuning?

Yes, it supports LoRA/QLoRA/DoRA fine-tuning, full-parameter pretraining, SFT, GRPO/DAPO, RLKD, and distillation.

What hardware does Pmetal require?

Pmetal runs on macOS with Apple Silicon (M1 through M5). It does not support Windows or Linux.

What is the pricing model for Spider Cloud?

Spider Cloud is freemium with usage-based pricing: $0.003 per page (average $0.03 per 1,000 pages). AI Studio is an additional $6/month.

What else are Pmetal and Spider Cloud compared with?

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Where can you read more about Pmetal and Spider Cloud?

Pmetal
View Pmetal reviewPmetal alternatives
Spider Cloud
View Spider Cloud reviewSpider Cloud alternatives

Browse these categories

Best AI Local & On-Device AI toolsBest AI Web Scraping & Search APIs toolsBest AI GPU Cloud & Model Inference toolsBest AI Browser & Computer-Use Agents tools
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