Petals vs Spider Cloud
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Petals | Spider Cloud |
|---|---|---|
| Pricing | free | freemium · from Free Credits on Signup $0 |
| Best for | Developers who want to run large LLMs on modest hardware, Researchers needing access to hidden states or custom fine-tuning | AI agents needing real-time web data for RAG, RAG pipelines requiring up-to-date content from the web |
| Standout features | Decentralized inference via BitTorrent-style model sharding · Supports Llama 3.1 (up to 405B), Mixtral (8x22B), Falcon (40B+), BLOOM (176B) · Single-batch inference up to 6 tokens/sec for Llama 2 70B | Web crawling and scraping API with Rust engine · AI Studio add-on for natural language crawling ($6/mo) · Browser AI commands via WebSocket: Act, Extract, Observe |
| Viability score | 69/100 | 88/100 |
| API | Yes | Yes |
Petals is the stronger pick for developers who want to run large llms on modest hardware; Spider Cloud fits better for ai agents needing real-time web data for rag.
Built from live tool data, last verified 2026-07-17.
Who should pick which
- Solo founder building an AI agent with RAGPick: Spider Cloud
Spider Cloud provides cheap, reliable web crawling with structured output and direct integrations to LangChain/LlamaIndex. Its new Browser AI commands and AI Studio make it ideal for feeding real-time data into a RAG pipeline.
- Researcher needing to run Llama 405B locallyPick: Petals
Petals is the only free option that allows running extremely large models on consumer GPUs via distributed inference. It supports custom fine-tuning and hidden state access, crucial for deep learning research.
- Privacy-conscious developer avoiding cloud APIsPick: Petals
Petals runs models locally without sending data to any centralized server; the p2p network only shares model layers, not user data. This preserves privacy while still enabling use of large models.
- Team building a high-volume scraping pipelinePick: Spider Cloud
With 99.9% success, automatic retries, unblocker, and data connectors to cloud storage, Spider Cloud scales to millions of pages. The new scraper catalog reduces development time.
- Hobbyist experimenting with AI on a budgetPick: Petals
Petals is free and runs on a single consumer GPU or Google Colab. It allows experimentation with state-of-the-art LLMs without any financial commitment.
Frequently Asked Questions
Which is better, Petals or Spider Cloud?
The best choice between Petals and Spider Cloud depends on your specific use case — we compare them independently on features, current pricing, integrations, and real-world signals (with an on-demand sentiment scan available for each). See the side-by-side breakdown above to match them to your needs.
What are the main differences between Petals and Spider Cloud?
The key differences include pricing model, feature set, platform support, and skill level requirements. Review the full comparison on RightAIChoice for a detailed breakdown.
Is there a free version of Petals or Spider Cloud?
Check the pricing section in the comparison for the latest pricing details on both tools, including free tiers, trial options, and paid plans.
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