LlamaIndex vs Firecrawl
Data framework for LLMs — RAG-first with LlamaCloud + LlamaParse
vs. AI-native web scraping + crawling API — LLM-ready data extraction
Pricing tiers
LlamaIndex
OSS (MIT)
MIT-licensed core. Python + TypeScript. Free forever.
$0 base (usage-based)
LlamaCloud — Free
Free tier of LlamaCloud. 1,000 pages/day via LlamaParse. Basic indexing.
Free
LlamaCloud — Paid
Pay-per-page parsing + usage-based indexing. $0.003 per page (Fast mode).
$0 base (usage-based)
LlamaCloud Enterprise
Custom. SSO, SOC2, higher rate limits, private index hosting.
Custom
Firecrawl
Free
500 credits one-time. 2 concurrent requests. For exploration.
Free
Self-Hosted (OSS)
AGPL-3.0 licensed. Run on your own infra.
$0 base (usage-based)
Hobby
$19/month ($16 annual). 3,000 credits/month. 5 concurrent.
$19/mo
Standard
$99/month ($83 annual). 100,000 credits. 50 concurrent. Most popular.
$99/mo
Growth
$399/month ($333 annual). 500,000 credits. 100 concurrent.
$399/mo
Enterprise
Custom. Dedicated support + SLA, bulk discounts, zero-data retention, SSO, advanced security.
Custom
Free-tier quotas head-to-head
Comparing oss on LlamaIndex vs free on Firecrawl.
| Metric | LlamaIndex | Firecrawl |
|---|---|---|
| No overlapping quota metrics for these tiers. | ||
Features
LlamaIndex · 16 features
- Agents — Agent patterns: ReAct, function-calling, multi-agent workflows.
- Document Readers — 200+ readers for PDF, web, Google Drive, SharePoint, Notion, S3, Slack.
- Evaluations — Built-in eval framework: faithfulness, context precision/recall.
- LlamaCloud — Managed indexing + retrieval platform. File connectors, auto-chunking, retrieval…
- LlamaExtract — Schema-based structured extraction from unstructured docs.
- LlamaHub — Community marketplace of readers, tools, prompts.
- LlamaParse — Best-in-class PDF + complex document parser. Tables, math, layout preserved.
- Multimodal — Image + text models, image retrieval.
- Node Parsers — Document chunkers: token, sentence, semantic, hierarchical.
- Observability (OpenLLMetry) — OTel-based tracing baked in.
- Property Graph — Graph-based RAG (knowledge graphs from unstructured data).
- Query Engines — Retrieval + response synthesis combos — router, sub-question, tree, etc.
- RAG — End-to-end RAG patterns: ingest → index → retrieve → synthesize.
- Tools — 50+ pre-built tool integrations.
- Vector Store Integrations — 50+ vector DB integrations.
- Workflows — Event-driven agent workflows (AgentWorkflow).
Firecrawl · 16 features
- Batch Scrape — Scrape many URLs in parallel.
- Crawl — Crawl an entire site following links. Returns all pages.
- Custom Headers/Cookies — Scrape behind login via headers.
- Deep Research (beta) — AI agent that autonomously researches a query across many sites.
- Extract (AI) — Structured extraction with a JSON schema → Firecrawl runs LLM for you.
- JavaScript Rendering — Headless browser handles SPAs, React/Vue sites.
- LLM-Ready Markdown — Cleaned + normalized Markdown optimized for LLM ingestion.
- Map — Fast — returns all URLs on a site without fetching content.
- MCP Server — Official MCP for Claude / Cursor / Agents.
- Open Source (AGPL) — Self-host the entire stack via Docker.
- PDF Parsing — Extract text from PDFs.
- Residential Proxies — Bypass anti-bot + geoblocks (paid).
- Scrape — Single URL → clean markdown/JSON/HTML.
- Screenshots — Visual screenshot alongside content.
- Search (beta) — Google-like search API returning results + content.
- Structured Output — Extract to JSON schema via LLM.
Developer interfaces
| Kind | LlamaIndex | Firecrawl |
|---|---|---|
| CLI | — | Firecrawl CLI |
| SDK | llama-index (Python), llamaindex (TS) | firecrawl-go, firecrawl-js, firecrawl-py |
| REST | LlamaCloud API, LlamaParse API | Firecrawl REST API |
| MCP | LlamaIndex MCP | Firecrawl MCP Server |
Staxly is an independent catalog of developer platforms. Outbound links to LlamaIndex and Firecrawl are plain references to their official websites. Pricing is verified against vendor pages at publication time — reconfirm before buying.
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