Mirai vs Spider Cloud
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Mirai | Spider Cloud |
|---|---|---|
| Primary Use Case | On-device AI inference on Apple Silicon | Web data extraction for AI agents & RAG |
| Key Feature | Hardware-aware optimization + sparse KV cache | Rust engine + AI Studio + Browser AI commands |
| Platform | Apple Silicon only (macOS, iOS) | Cloud API + open-source self-host |
| Integrations | None listed | LangChain, LlamaIndex, CrewAI, Flowise, AutoGen, Agno, Dify, S3, GCS, Sheets, Azure Blob, Supabase |
| Latest News | No recent news | Browser AI commands, data connectors, scraper catalog (2026) |
If you need real-time web data for AI agents or RAG pipelines, Spider Cloud is your pick — it’s fast, cheap ($0.03 per 1k pages), and integrates with major AI frameworks. If you build AI apps that must run locally on Apple Silicon with low latency, Mirai is the specialist. They don’t compete directly; choose based on whether you need to fetch data from the web or infer on-device.
On-device inference engine and SDK for Apple Silicon, built for real-time, always-on AI on iOS and macOS.
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Spider Cloud is an AI web scraping API that turns any site into markdown or JSON for agents and RAG.
Visit WebsiteWho should pick which
- AI agent developer needing real-time web data for RAGPick: Spider Cloud
Spider Cloud’s Rust engine, 99.9% success rate, and integrations with LangChain, LlamaIndex, and CrewAI make it ideal for feeding up-to-date web content into AI agents. The new Browser AI commands enable interactive scraping, and data connectors simplify pipeline automation.
- iOS app developer adding local AI featuresPick: Mirai
Mirai is purpose-built for on-device inference on Apple Silicon, offering quantization schemes co-designed with hardware and sparse KV cache for low-latency, memory-efficient AI. Perfect for ambient, interactive apps that cannot rely on cloud connectivity.
- Data scientist building large-scale web scraping pipelinesPick: Spider Cloud
With 1,000+ scraper examples, rotating proxies, and a cost of $0.03 per 1k pages, Spider Cloud handles high-volume extraction affordably. Data connectors pipe results directly to cloud storage, and failed requests are free.
- Researcher optimizing LLMs for Apple SiliconPick: Mirai
Mirai’s hardware-aware tensor optimization and new quantization method (June 2026) push speed-quality frontiers for local models. It’s the only tool with batch-size-1 inference engine designed specifically for M-series chips.
Frequently Asked Questions
Mirai vs Spider Cloud: which should you choose?
If you need real-time web data for AI agents or RAG pipelines, Spider Cloud is your pick — it’s fast, cheap ($0.03 per 1k pages), and integrates with major AI frameworks. If you build AI apps that must run locally on Apple Silicon with low latency, Mirai is the specialist. They don’t compete directly; choose based on whether you need to fetch data from the web or infer on-device.
Can Spider Cloud run on-premise?
Yes, Spider Cloud has an open-source core available on GitHub that can be self-hosted. The cloud version offers managed services with higher reliability.
Does Mirai support Windows or Android?
No, Mirai is exclusively for Apple Silicon (macOS and iOS). It does not support cross-platform deployment.
What is the average cost per page for Spider Cloud?
Spider Cloud averages $0.03 per 1,000 pages, making it one of the most cost-effective scraping APIs.
Does Mirai offer a free trial?
Pricing is contact-based, and no free trial is publicly mentioned. You need to reach out to their sales team.
Which tool includes AI extraction capabilities?
Both: Spider Cloud has Silk AI model extraction and AI Studio; Mirai runs local LLMs but doesn’t specialize in web extraction.
Can Spider Cloud integrate with LangChain?
Yes, Spider Cloud has native integration with LangChain, LlamaIndex, CrewAI, and many other AI frameworks.
Is Mirai suitable for real-time applications?
Yes, Mirai is designed for real-time decoding with batch size 1 inference engine, ideal for interactive AI experiences on Apple devices.
How does Spider Cloud handle anti-bot measures?
Spider Cloud includes an unblocker with rotating proxies and automatic retries, plus Browser Cloud stealth anti-detection features. The /ai/unblocker endpoint uses AI to bypass blocks.
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Last reviewed: July 3, 2026