Runanywhere Sdks vs Spider Cloud

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

Analysis reviewed Live tool data as of 2026-10-08
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At a glance

DimensionRunanywhere SdksSpider Cloud
Target userMobile/edge AI developersWeb scraping & AI agent developers
Key strengthOn-device AI inference (sub-10ms)High-speed web crawling (Rust engine)
Latest featureQHexRT full-stack NPU inferenceBrowser AI commands (Act/Extract/Observe)
IntegrationOpenRouter, vLLM, Apple Silicon, QualcommLangChain, LlamaIndex, CrewAI, cloud storage
Best forPrivacy-first, low-latency AI on deviceReal-time web data for LLM pipelines
Runanywhere Sdks
Runanywhere Sdks

On-device inference SDKs with hand-written GPU and NPU kernels from a Y Combinator-backed inference lab.

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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
Contact Sales
Freemium
Plans
—
$1/GB + $0.0001/CPU-min
From $6/mo
From $40/mo
Custom
Popularity
6 views
7.5k views
Skill Level
Advanced
Intermediate
API Available
Platforms
WebMobileDesktopAPI
WebAPIPluginCLIDesktop
Categories
💾 Local & On-Device AI🖥️ GPU Cloud & Model Inference
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
MetalRT hand-written Metal kernels for Apple M-series GPUs
QHexRT 100% NPU inference for Qualcomm Hexagon NPUs (live June 2026)
LLM inference at 658 tok/s decode and 6.6ms TTFT on M4 Max
Vision language model inference at 279 tok/s vision decode (March 2026)
Speech-to-text and text-to-speech run fully on-device
Speech-to-speech at 1.68s end-to-end, measured 1.52x faster than mlx-audio
Embeddings inference on-device
PrismML Bonsai 27B 1-bit LLM on-device across iOS, Android, macOS
First true 1-bit model running on an NPU (July 2026)
Wally hosted inference behind an OpenAI-compatible API
Hosted execution is explicit — requests leave your machine only when you opt in
Console for sign-in, credit purchase, and live usage/spend tracking
One C++ core (runanywhere-core) behind six SDK bindings
Open-source SDKs: Swift, Kotlin, React Native, Flutter, TypeScript, C++
Cross-platform: iOS, Android, macOS, Windows, Linux, web, embedded
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
OpenAI-compatible clients
opencode
Mintlify
LangChain
LlamaIndex
CrewAI
FlowiseAI
Langflow
Dify
Agno
MCP
Claude Code
Codex
Cursor
Claude Desktop
Amazon S3
Google Cloud Storage
Google Sheets

What real users say: Runanywhere Sdks 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.

Runanywhere Sdks

13 mentions across 3 sources · 72% positive (averaged across 3 sources)

Hacker News, YouTube, GitHub

What users praise

  • • Hand-written Metal and Hexagon kernels deliver sub-10ms inference, 658 tok/s on M4 Max.
  • • One C++ core with SDKs for Swift, Kotlin, RN, Flutter, TS, C++.
  • • Cross-platform: iOS, Android, macOS, Windows, Linux, web, embedded.
  • • Open-source with 10k+ GitHub stars and active development.

What frustrates them

  • • GitHub scraping to send spam emails tarnishes developer trust.
  • • Steep learning curve; requires advanced GPU/NPU knowledge.
  • • Sparse independent community feedback; mostly promotional content.
  • • YouTube coverage mostly off-topic or unrelated to RunAnywhere.

Researched Aug 28, 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

  • Mobile app developer adding on-device AI
    Pick: Runanywhere Sdks

    RunAnywhere's MetalRT and QHexRT enable low-latency, private AI inference on Apple Silicon and Qualcomm, ideal for offline-capable mobile apps.

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

    Spider Cloud's high-speed crawling, Browser AI commands, and structured output feed live data into LLM pipelines and RAG systems.

  • Edge AI engineer deploying to constrained hardware
    Pick: Runanywhere Sdks

    RunAnywhere's custom kernel design (MetalRT for GPU, QHexRT for NPU) maximizes performance on limited devices.

  • Developer building a RAG pipeline with web content
    Pick: Spider Cloud

    Spider Cloud integrates natively with LangChain/LlamaIndex and outputs markdown/JSON, perfect for indexing into vector stores.

  • Team needing a privacy-first AI assistant on mobile
    Pick: Runanywhere Sdks

    RunAnywhere processes all inference on-device with optional cloud routing, ensuring sensitive data never leaves the user's device.

Frequently Asked Questions

Can RunAnywhere be used for cloud-only inference?

Yes, it supports cloud routing (OpenRouter, vLLM, etc.), but its strength is on-device inference.

Does Spider Cloud offer a free tier?

Yes, it has a free tier with limited credits; paid plans start at pay-as-you-go with no monthly subscription required.

Which tool is better for a privacy-focused healthcare app?

RunAnywhere, because inference stays on-device, avoiding sending patient data to the cloud.

Can Spider Cloud extract data from JavaScript-heavy sites?

Yes, its Browser Cloud with stealth anti-detection and Browser AI commands can handle dynamic content.

Does RunAnywhere support NVIDIA GPUs or CUDA?

No, its custom kernels target Apple Silicon and Qualcomm NPUs; cloud routing can be used for NVIDIA, but there is no direct CUDA support.

Is there an open-source version of Spider Cloud?

Yes, the core engine is open-source on GitHub, allowing self-hosting.

Can RunAnywhere run speech-to-speech on-device?

Yes, MetalRT now supports native speech-to-speech with 1.68s end-to-end latency (1.52x faster than mlx-audio).

What integrations does Spider Cloud support for AI agents?

It integrates with LangChain, LlamaIndex, CrewAI, FlowiseAI, AutoGen, Agno, and Dify, plus cloud storage connectors.

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Last reviewed: July 3, 2026