Vmlx vs Spider Cloud

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

Live tool data as of 2026-07-17
Reviewed by our team on
Saved

At a glance

DimensionVmlxSpider Cloud
Pricingfreefreemium · from Free Credits on Signup $0
Best forDevelopers building agentic workflows with local LLMs and MCP tools, Privacy-conscious users who want offline AI on MacAI agents needing real-time web data for RAG, RAG pipelines requiring up-to-date content from the web
Standout featuresMulti-context prefix caching (up to 9.7x faster TTFT) · Paged KV cache with configurable block sizes · Continuous batching for up to 256 concurrent sequencesWeb crawling and scraping API with Rust engine · AI Studio add-on for natural language crawling ($6/mo) · Browser AI commands via WebSocket: Act, Extract, Observe
Viability score69/10088/100
APIYesYes

Vmlx is the stronger pick for developers building agentic workflows with local llms and mcp tools; Spider Cloud fits better for ai agents needing real-time web data for rag.

Built from live tool data, last verified 2026-07-17.

Vmlx
Vmlx

Fastest MLX inference engine for Apple Silicon — prefix caching, paged KV cache, continuous batching, MCP tools.

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Spider Cloud
Spider Cloud

Fast web crawling, scraping & search API for AI agents

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Pricing
Free
Freemium
Plans
—
$0
$5
$25
$50
$100
$500 (+5% bonus)
$2,000 (+12% bonus)
$350/mo
Popularity
1 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
Desktop
WebAPI
Categories
💻 Code & Development⚙️ Developer Infrastructure
⚙️ Developer Infrastructure
Features
Multi-context prefix caching (up to 9.7x faster TTFT)
Paged KV cache with configurable block sizes
Continuous batching for up to 256 concurrent sequences
Native Model Context Protocol (MCP) support
OpenAI-compatible API (streaming, function calling, structured output)
One-click vLLM-MLX installer
Download any MLX-compatible model from HuggingFace
Automatic server start with smart defaults
Full chat UI with advanced settings
Developer ID signed and notarized DMG
Multi-conversation prefix caching (no eviction on switch)
Configurable prefill batch size (up to 512)
Auto cache memory management (20% auto cache)
Supports Llama, DeepSeek, Qwen, Gemma, Mistral, Phi, more
Exposes all 23 inference configuration flags
Web crawling and scraping API with Rust engine
AI Studio add-on for natural language crawling ($6/mo)
Browser AI commands via WebSocket: Act, Extract, Observe
Silk custom AI model for extraction and captcha solving
Browser Cloud with stealth anti-detection for heavily protected sites
Structured output: markdown (GitHub, plain), HTML, JSON, JSONL, CSV, XML, plain text
Screenshot capture of pages
Link extraction from pages
Search endpoint for query-based data retrieval
Unblocker with rotating proxies and automatic retries
1,000+ ready-made scraper examples across 32 categories
Data connectors: S3, GCS, Google Sheets, Azure Blob, Supabase
Respects robots.txt (configurable)
Failed requests not billed
Open-source core available on GitHub
Integrations
LangChain
LlamaIndex
CrewAI
FlowiseAI
AutoGen
Agno
Google Cloud Storage
Amazon S3
Supabase
Azure Blob
Google Sheets
Dify
OpenAI
Anthropic
MCP

Who should pick which

  • AI agent developer needing live web data
    Pick: Spider Cloud

    Spider Cloud's API provides real-time, structured web data with AI extraction, essential for grounding agents in current information.

  • Privacy-conscious researcher running LLMs locally
    Pick: Vmlx

    VMLX runs fully offline on Apple Silicon with leading performance via prefix caching and continuous batching, keeping data private.

  • RAG pipeline builder combining web search and LLM inference
    Pick: Spider Cloud

    Spider Cloud integrates with LangChain/LlamaIndex to fetch and chunk web pages, feeding clean text into a RAG pipeline; VMLX can serve as the local LLM backend.

  • Mac user wanting a fast local chat UI with MCP tool support
    Pick: Vmlx

    VMLX offers a native chat UI, OpenAI-compatible API, and native MCP support for agentic workflows on Mac.

  • Team needing high-volume scraping with cloud reliability
    Pick: Spider Cloud

    Spider Cloud’s 99.9% uptime, rotating proxies, and data connectors to S3/GCS make it suitable for production scraping at scale.

Frequently Asked Questions

Which is better, Vmlx or Spider Cloud?

The best choice between Vmlx and Spider Cloud depends on your specific use case — we compare them independently on features, current pricing, integrations, and real-world signals (with an on-demand sentiment scan available for each). See the side-by-side breakdown above to match them to your needs.

What are the main differences between Vmlx and Spider Cloud?

The key differences include pricing model, feature set, platform support, and skill level requirements. Review the full comparison on RightAIChoice for a detailed breakdown.

Is there a free version of Vmlx or Spider Cloud?

Check the pricing section in the comparison for the latest pricing details on both tools, including free tiers, trial options, and paid plans.

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Explore each tool further

Vmlx
View Vmlx reviewVmlx alternatives
Spider Cloud
View Spider Cloud reviewSpider Cloud alternatives

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