Cactus 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

DimensionCactusSpider Cloud
Primary FunctionOn-device + cloud hybrid inference engineWeb crawling & scraping API for AI agents
Key IntegrationHuggingFace, Liquid AI, NVIDIA Parakeet, Gemma 4, QwenLangChain, LlamaIndex, CrewAI, AutoGen, S3, GCS
Best ForMobile/edge AI, real-time voice, privacy-first appsAI agents, RAG pipelines, high-volume web scraping
Latest News HighlightNeedle 26M tool-calling model (6000 tok/s on-device)Browser AI commands (Act, Extract, Observe) via WebSocket

Cactus and Spider Cloud serve completely different needs: Cactus is for building on-device AI apps with cloud fallback (great for voice/edge), while Spider Cloud is for fetching web data at scale for AI agents. Choose Cactus if you need low-latency, privacy-preserving inference on mobile/wearables. Choose Spider Cloud if you're building RAG pipelines or agents that require real-time web content.

Try CactusTry Spider Cloud
Cactus
Cactus

Hybrid inference engine that runs 8–29MB Needle models on-device and hands off to the cloud when confidence drops.

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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
Freemium
Freemium
Plans
$0/mo
$99/mo
Custom
$1/GB + $0.0001/CPU-min
From $6/mo
From $40/mo
Custom
Popularity
16 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
MobileDesktopAPICLI
WebAPIPluginCLIDesktop
Categories
🖥️ GPU Cloud & Model Inference💾 Local & On-Device AI
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Hybrid inference with confidence-based routing between on-device and cloud
Needle 3: 8-29 MB foundation model for constrained edge devices
Whistle: 16.9 MB open speech recognition model, seven languages, 11 ms first token
Silero VAD for voice activity detection in audio streams
Cactus Engine: OpenAI-compatible APIs for C/C++, Swift, Kotlin, and Flutter
Cactus Graph: zero-copy computation graph with a PyTorch-like API
Cactus Kernels: low-level ARM SIMD kernels with custom attention and KV-cache quantization
NPU acceleration for Apple, Snapdragon, Google, Exynos, and MediaTek processors
INT4 and INT8 quantization with zero-copy memory mapping
Cactus-Quantised .cact format at 2.125 bits per weight, memory-mapped
Multi-precision model downloads from Hugging Face
Automatic cloud fallback to a configured frontier model on low confidence
Realtime speech-to-text with NPU acceleration and cloud correction
Text generation, vision, and streaming model support
Tool calling and automatic RAG in the engine APIs
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
Hugging Face
Gemma
Qwen
Liquid AI LFM
Whisper
Moonshine
NVIDIA Parakeet
Silero VAD
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: Cactus 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.

Cactus

76 mentions across 7 sources · 36% positive — critical (averaged across 7 sources)

Hacker News, YouTube, Product Hunt, App Store, Stack Overflow, GitHub, Lemmy

What users praise

  • • Impressive speed: sub-150ms latency for on-device inference.
  • • Hybrid routing saves costs by offloading easy tasks to the edge.
  • • Tiny models like Needle2 (14MB) enable agentic logic on low-power devices.
  • • Open-source engine with active GitHub (5.8k stars) and community.

What frustrates them

  • • 14MB model limited to simple tasks; complex queries need cloud fallback.
  • • Steep learning curve for non-embedded developers.
  • • Limited documentation for specific platforms like ESP32.
  • • Natural language interface can mis-handle unsupported commands.

Researched Aug 18, 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 real-time voice transcription
    Pick: Cactus

    Cactus offers on-device transcription with sub-150ms latency, privacy mode, and 6% WER, plus cloud fallback for noisy audio.

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

    Spider Cloud provides fast, structured web scraping with 99.9% success rate and integrates with LangChain, LlamaIndex, and more.

  • Edge AI engineer building battery-efficient inference on wearables
    Pick: Cactus

    Cactus supports NPU acceleration, low-power quantization, and runs on wearables, ensuring long battery life.

  • Startup building a web-based AI assistant with tool calling
    Pick: Spider Cloud

    Spider Cloud's Browser AI commands (Act, Extract, Observe) allow agents to interact with web pages programmatically.

  • Privacy-conscious team needing on-device-only processing
    Pick: Cactus

    Cactus runs models locally and only falls back to cloud when necessary, with optional cloud fallback disable for full privacy.

Frequently Asked Questions

Cactus vs Spider Cloud: which should you choose?

Cactus and Spider Cloud serve completely different needs: Cactus is for building on-device AI apps with cloud fallback (great for voice/edge), while Spider Cloud is for fetching web data at scale for AI agents. Choose Cactus if you need low-latency, privacy-preserving inference on mobile/wearables. Choose Spider Cloud if you're building RAG pipelines or agents that require real-time web content.

Can Cactus run on devices without internet?

Yes, Cactus runs entirely on-device with no cloud dependency; cloud fallback is optional and can be disabled.

Does Spider Cloud support JavaScript-heavy websites?

Yes, Spider Cloud's Browser Cloud uses stealth anti-detection and supports dynamic content via headless browser rendering.

What is Needle 26M?

A 26M parameter tool-calling model from Cactus, distilled from Gemini, running at 6000 tok/s prefill on consumer devices.

How does Spider Cloud handle CAPTCHAs?

Spider Cloud's Silk AI model can solve CAPTCHAs, and the Unblocker endpoint uses rotating proxies and retries to bypass blocks.

Can I use Cactus with cloud models like GPT-4?

Yes, Cactus supports OpenAI-compatible API endpoints, allowing hybrid on-device/cloud inference with GPT-4 fallback.

Does Spider Cloud have a free tier?

Yes, Spider Cloud offers a freemium plan with a limited number of pages; specific free limits are on their website.

What platforms does Cactus support?

Cactus has SDKs for iOS, Android, macOS, wearables, and frameworks like React Native, Swift, Kotlin, Flutter, C++, and Python.

Can Spider Cloud output structured data?

Yes, it outputs markdown, HTML, JSON, CSV, XML, and plain text, with structured extraction via AI or CSS selectors.

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Explore each tool further

Cactus
View Cactus reviewCactus alternatives
Spider Cloud
View Spider Cloud reviewSpider Cloud alternatives

Browse these categories

Best AI GPU Cloud & Model Inference toolsBest AI Web Scraping & Search APIs toolsBest AI Local & On-Device AI toolsBest AI Browser & Computer-Use Agents tools
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Last reviewed: July 3, 2026