LFM 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

DimensionLFMSpider Cloud
Primary UseOn-device AI models for private, fast edge intelligenceWeb crawling and scraping API for AI agents and RAG
DeploymentOn-device (edge hardware, CPU, mobile, IoT)Cloud API (Rust engine with self-host option)
Model Sizes230M to 8B (MoE) parametersN/A (not a model provider)
Key FeatureLFM2.5 family: audio, vision, multilingual, 8x faster detokenizerBrowser AI commands (Act, Extract, Observe) and AI Studio
IntegrationsHugging Face, LEAP, llama.cpp, MLX, vLLM, ONNX, AMD, Nexa AILangChain, LlamaIndex, CrewAI, Flowise, AutoGen, Agno, Dify

Choose LFM if you're deploying AI on edge devices (copilots, assistants, IoT) and need private, low-latency, on-device models. Choose Spider Cloud if your AI agents need real-time web data, scraping, and browser automation. They are complementary rather than direct competitors.

Try LFMTry Spider Cloud
LFM
LFM

Liquid AI's open-weight LFM2.5 model family runs native text, vision, and audio AI locally on CPU, GPU, or NPU.

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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
Custom
$1/GB + $0.0001/CPU-min
From $6/mo
From $40/mo
Custom
Popularity
19 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
MobileDesktop
WebAPIPluginCLIDesktop
Categories
💾 Local & On-Device AI⚛️ Foundation Models & LLM APIs
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Open-weight LFM2.5 model family for on-device and edge deployment
LFM2.5-1.2B-Instruct for instruction following and tool use
LFM2.5-1.2B-Base pretrained checkpoint for heavy fine-tuning
LFM2.5-1.2B-JP chat model tuned for Japanese knowledge and instructions
LFM2.5-VL-1.6B vision-language model with multi-image understanding
Multilingual vision prompts in Arabic, Chinese, French, German, Japanese, Korean and Spanish
LFM2.5-Audio-1.5B with native speech and text input and output
LFM-based audio detokenizer 8x faster than Mimi on mobile CPU
INT4 quantization-aware training for the audio detokenizer
LFM2.5-VL-3B faster vision-language model for the edge
LFM2.5-2.6B for deploying agents across environments
LFM2.5-Encoders that stay fast at long context on CPU
LFM2.5-DSpark for up to 3.2x faster inference from H100 to MacBook
LFM2.5-VL-DSpark for faster vision-language inference on edge hardware
LFM2.5 Q4_0 quantization-aware distillation for edge deployment
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
LEAP
llama.cpp
MLX
vLLM
ONNX
AMD
Nexa AI
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: LFM 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.

LFM

62 mentions across 5 sources · 37% positive — critical (averaged across 5 sources)

Hacker News, YouTube, Stack Overflow, GitHub, Lemmy

What users praise

  • • Extremely fast CPU inference, 35-40 t/s on 8B-A1B model
  • • Small models punch above their weight, outperforming larger ones
  • • Open-weight with no copyleft, fine-tunes stay private
  • • Free commercial use under $10M revenue, no per-token fees

What frustrates them

  • • Limited third-party fine-tunes available on Hugging Face
  • • Users report models can be 'situational' and not universal
  • • Instruction following degrades with longer, complex instructions
  • • Name collision with unrelated LFM project causes confusion

Researched Aug 27, 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

  • Solo founder building a local AI copilot
    Pick: LFM

    LFM provides free, open-weight on-device models that run privately and fast, perfect for a copilot without cloud costs.

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

    Spider Cloud offers a fast, reliable scraping API with AI extraction and browser automation, ideal for grounding agents with fresh web content.

  • IoT engineer deploying on edge hardware under 1B parameters
    Pick: LFM

    LFM's 230M to 1.6B models are optimized for edge devices, with multimodal capabilities (audio, vision) and low memory footprint.

  • Enterprise building a RAG pipeline with internal docs and web data
    Pick: Spider Cloud

    Spider Cloud integrates with LangChain/LlamaIndex and provides structured data in markdown/JSON, ideal for feeding into RAG systems.

  • Japanese-language app developer
    Pick: LFM

    LFM offers a Japanese-optimized chat model (LFM2.5-1.2B-JP) for culturally nuanced on-device assistants.

Frequently Asked Questions

LFM vs Spider Cloud: which should you choose?

Choose LFM if you're deploying AI on edge devices (copilots, assistants, IoT) and need private, low-latency, on-device models. Choose Spider Cloud if your AI agents need real-time web data, scraping, and browser automation. They are complementary rather than direct competitors.

Can I use LFM models commercially for free?

Yes, for companies with annual revenue under $10M. Above that, you need a paid license.

Does Spider Cloud offer a free tier?

Yes, Spider Cloud has a free tier with limited credits. Check their website for details.

Which tool is better for RAG pipelines?

Spider Cloud directly provides web data in structured formats (markdown, JSON) for RAG. LFM can process that data on-device, but isn't a data source.

Can I run Spider Cloud locally?

Yes, Spider Cloud is open-source, so you can self-host the core engine, though the cloud version offers additional features like rotating proxies and AI models.

Which tool supports audio input?

LFM offers LFM2.5-Audio-1.5B with native audio input/output and 8x faster detokenizer, ideal for voice applications on edge.

Does Spider Cloud support captcha solving?

Yes, Spider Cloud's Silk AI model can solve captchas, and the /ai/unblocker endpoint helps bypass anti-bot measures.

Can I use LFM with cloud APIs?

LFM is designed for on-device deployment, but you can run it on cloud servers too. However, its strength is edge inference.

Which tool is more cost-effective for high-volume scraping?

Spider Cloud's pay-as-you-go pricing ($0.03/1k pages) is affordable for high volume, but costs scale linearly. Self-hosting the open-source core could reduce costs further.

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Explore each tool further

LFM
View LFM reviewLFM 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 Foundation Models & LLM APIs toolsBest AI Browser & Computer-Use Agents tools
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Last reviewed: July 3, 2026