Mlx Serve vs Spider Cloud

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

Analysis reviewed Live tool data as of 2026-10-09
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At a glance

DimensionMlx ServeSpider Cloud
PlatformApple Silicon only (M1-M4)Cloud API (any platform)
Primary UseLocal LLM inference serverWeb crawling & scraping API
API CompatibilityOpenAI, Anthropic, Ollama APIsREST API with structured output
Key FeaturesSpeculative decoding, agent mode, photo/video/voice generationBrowser AI commands, AI Studio, data connectors, 1k+ scraper catalog
Best ForMac users running local LLMsAI agents & RAG pipelines needing web data

Mlx Serve and Spider Cloud serve fundamentally different needs. Mlx Serve is a free, hyper-optimized local inference server for Apple Silicon users who want to run large models offline with API compatibility. Spider Cloud is a cloud-based web scraping and crawling API designed to feed AI agents and RAG pipelines with fresh web data. Choose Mlx Serve if you own a Mac with sufficient RAM (16GB+) and need fast local LLM inference; choose Spider Cloud if your project requires programmatic access to web content at scale with easy integration into AI workflows.

Try Mlx ServeTry Spider Cloud
Mlx Serve
Mlx Serve

Free open-source local AI server that runs LLMs, image, music, video, and 3D generation on your own Apple Silicon Mac.

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Spider Cloud
Spider Cloud

Spider Cloud is a web scraping and crawling API that turns live pages into markdown or JSON for agents and RAG pipelines.

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Pricing
Free
Freemium
Plans
$0
$1/GB + $0.0001/CPU-min
From $6/mo
From $40/mo
Custom
Popularity
22 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
Desktop
WebAPIPluginCLIDesktop
Categories
💾 Local & On-Device AI
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Local LLM inference server for Apple Silicon (M1–M5, macOS 26+)
Runs any MLX or GGUF open model — DeepSeek V4 Flash, Gemma 4, Qwen 3.8, Muse-Glimmer, Llama 3
OpenAI-compatible API on port 11234 (/v1/chat/completions, /v1/completions, /v1/embeddings, /v1/models)
Anthropic Messages API (/v1/messages) — runs Claude Code against your local model via ANTHROPIC_BASE_URL
OpenAI Responses API with previous_response_id chaining, plus a WebSocket variant
Ollama-compatible API, including running on Ollama's port 11434 so tools need no reconfiguration
SSE streaming across chat, responses, and media endpoints
Tool calling with typed tool_use / tool_result blocks
Vision — image parts accepted on multimodal models
Batched embeddings from encoder models (BERT/bge, EmbeddingGemma, Qwen3-Embedding) with checkpoint-read pooling
Prefix caching with usage.prompt_tokens_details.cached_tokens reporting
Per-request KV-cache quantization (off / 4-bit / 8-bit) and dense or fused attention reads
Speculative decoding: PLD, cross-attention drafter, and MTP, toggled per request
Reasoning controls — enable_thinking, reasoning_effort (low/medium/high), reasoning_budget_tokens
Text-to-image generation with Krea-2 and FLUX.2
Scrape a single page into markdown, JSON, HTML, raw text, or plain text
Crawl entire sites with each page streamed as one JSONL line in order the moment it finishes
Web search endpoint returns SERP results plus the scraped pages behind them in one call
Custom browser renders like a user: scripts run, lazy images load, infinite scroll completes
Unblocker loads protected pages through a real browser engine with geo checks and a 200
Browser Cloud runs full sessions with anti-detection and rotating exits
Send AI commands (Act, Extract, Observe) over the Browser API WebSocket
Send a prompt on a scrape or crawl request and get the named fields back as JSON
Two-phase AI extraction: a fast model for most pages, a stronger model for complex layouts
Provider router sends scrape and crawl requests to outside providers on your own keys
Data connectors pipe crawl results into S3, GCS, Google Sheets, Azure Blob, or Supabase
Proxy network with 215M+ residential and ISP exits in 199 countries, rotated per request
Requests stream back as they land, in order, without waiting for the last URL
MCP server at mcp.spider.cloud for Claude Code, Codex, Cursor, and Claude Desktop
1,000+ ready-made scraper examples across 32 categories, each with working code
Integrations
Claude Code
OpenAI SDK
Anthropic API
Ollama
Raycast
Obsidian
Enchanted
Open WebUI
Telegram
LangChain
LlamaIndex
CrewAI
FlowiseAI
Langflow
Dify
Agno
MCP
Codex
Cursor
Claude Desktop
Amazon S3
Google Cloud Storage
Google Sheets

What real users say: Mlx Serve vs Spider Cloud

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

Mlx Serve

28 mentions across 5 sources · 49% positive — mixed (averaged across 5 sources)

Hacker News, Product Hunt, Bluesky, GitHub, Lemmy

What users praise

  • • Up to 2× faster inference than LM Studio on same hardware via speculative decoding.
  • • Single binary install — no Python, conda, or Electron required.
  • • OpenAI and Anthropic API compatible endpoints for drop-in replacement.
  • • Runs large models like DeepSeek V4 Flash (284B) on 96GB+ Macs.

What frustrates them

  • • Anthropic endpoint is broken for real queries despite being advertised.
  • • No support for NVFP4 quantized models that work in LM Studio.
  • • GUI app crashes on M1 Pro with exit code 255 for some users.
  • • Cannot configure server port or IP in settings — must hack workarounds.

Researched Jul 4, 2026

Spider Cloud

No verifiable community signal. We scanned public discussion on Oct 7, 2026 and found posts matching the name “Spider Cloud”, but could not establish that they are about this product rather than something else sharing its name. Rather than publish a score built on the wrong subject, we publish none.

Who should pick which

  • Apple Silicon Mac owner wanting local LLM
    Pick: Mlx Serve

    Mlx Serve is purpose-built for Apple Silicon, offering up to 2x faster inference than LM Studio, free of charge. It supports large models, agent mode, and API compatibility.

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

    Spider Cloud provides a fast, reliable scraping API with 99.9% success rate, structured output, and direct integrations with AI agent frameworks like LangChain and CrewAI.

  • RAG pipeline builder
    Pick: Spider Cloud

    Spider Cloud's search endpoint and data connectors (S3, GCS, Supabase) make it easy to feed fresh web data into RAG systems, with low cost per page.

  • AI researcher running large models locally
    Pick: Mlx Serve

    Supports massive models like DeepSeek V4 Flash (284B) on high-RAM Macs, with speculative decoding for efficiency, all without cloud costs.

  • Developer replacing LM Studio
    Pick: Mlx Serve

    Mlx Serve is a drop-in replacement with higher performance and API compatibility, requiring no Python or Electron. Ideal for local testing and deployment.

Frequently Asked Questions

Mlx Serve vs Spider Cloud: which should you choose?

Mlx Serve and Spider Cloud serve fundamentally different needs. Mlx Serve is a free, hyper-optimized local inference server for Apple Silicon users who want to run large models offline with API compatibility. Spider Cloud is a cloud-based web scraping and crawling API designed to feed AI agents and RAG pipelines with fresh web data. Choose Mlx Serve if you own a Mac with sufficient RAM (16GB+) and need fast local LLM inference; choose Spider Cloud if your project requires programmatic access to web content at scale with easy integration into AI workflows.

Can Mlx Serve run on Windows or Linux?

No, Mlx Serve is exclusively for Apple Silicon (M1-M4) Macs. It requires the Metal framework and is built in Zig and Swift.

Does Spider Cloud offer self-hosting?

Yes, Spider has an open-source core available on GitHub, allowing self-hosted deployments. The cloud version adds features like Browser AI commands and data connectors.

Which tool is better for RAG pipelines?

Spider Cloud is better for RAG, as it specializes in scraping and crawling to provide up-to-date web data. Mlx Serve handles local LLM inference but doesn't fetch web content.

Is Mlx Serve compatible with existing LLM clients?

Yes, it exposes drop-in OpenAI, Anthropic, and Ollama-compatible REST APIs, so any client supporting those can connect without changes.

What output formats does Spider Cloud support?

Spider Cloud outputs data in markdown (GitHub, plain), HTML, JSON, JSONL, CSV, XML, and plain text.

Can Mlx Serve generate images or video?

Yes, per its features, Mlx Serve supports photo editing with natural language, image-to-video, talking-character video, and style LoRAs.

Does Spider Cloud include data connectors?

Yes, as of Feb 2026, Spider Cloud added data connectors to pipe crawl results into S3, GCS, Google Sheets, Azure Blob, or Supabase.

What is the minimum RAM for Mlx Serve?

Mlx Serve requires significant memory; models like DeepSeek V4 Flash need 96GB+. For smaller models, 16GB+ is recommended.

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Explore each tool further

Mlx Serve
View Mlx Serve reviewMlx Serve 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 Browser & Computer-Use Agents tools
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Last reviewed: July 4, 2026