LlamaIndex
LlamaIndex is a document-agent stack: an MIT Python/TS framework plus hosted LlamaParse. Rechecked 2026-08-17: llamaindex.ai/pricing sells Free $0 (10K credits), Starter $50 (40K credits, pay-as-you-go up to 400K), Pro $500 (400k credits, optional one-time 800k / $1,000 bonus on business-email domains, usage up to $5,000 / month), and Enterprise custom. The page says 1,000 credits = $1.25. github.com/run-llama/llama_index had 51,696 stars, license MIT. The GitHub blurb now leads with document agents and OCR, not a generic "LLM application framework" essay.
Compare Dify if you wanted a visual RAG canvas with public $59 / $159 seats, LangChain if you wanted another MIT agent library, and RAGFlow if you wanted an Apache-2.0 RAG appliance.
Key Features
- OSS framework: Connectors, indexes, query/chat engines. Treat current docs as the catalog.
- LlamaParse credits: Hosted parsing/extraction is what the public dollar table meters. Basic parse can be 1 credit / page; agentic/VLM parse costs more.
- Cloud vs library: You can stay on GitHub and pay nothing to LlamaIndex. Credits start when you use LlamaParse / cloud actions.
- Not a free OCR unlimited: Free is 10K credits.
Use Cases
- Teams parsing messy PDFs who will pay Starter $50 or Pro $500.
- Teams that only need the MIT library and will stay on Free / self-host.
- People comparing LlamaIndex vs Dify vs RAGFlow on public meters.
Limitation: We did not re-open every connector list. Startup-program free credits exist; do not invent a dollar amount.
Pricing
llamaindex.ai/pricing on 2026-08-17. This is the LlamaParse / platform table.
| Plan | Price | Notes from that page |
|---|---|---|
| Free | $0 | 10K credits. |
| Starter | $50 | 40K credits; pay-as-you-go up to 400K. |
| Pro | $500 | 400k credits. Optional $1,000 / 800k one-time bonus. Cap around $5,000 / month. |
| Enterprise | Custom | Volume, SSO, SaaS or hybrid. |
If a leftover blog still describes LlamaIndex as an unpriced framework only, treat this table as the source for hosted parse.
Getting Started
- Open llamaindex.ai/pricing before you parse a 10k-page corpus.
- Use the MIT library from developers.llamaindex.ai if you do not need LlamaParse.
- Recheck Dify or RAGFlow if you wanted a visual workspace.
- Quote 1,000 credits = $1.25 when you do the napkin math.
Frequently Asked Questions
Is LlamaIndex free?
The library is MIT. Hosted parse starts at Free 10K credits, then $50 / $500.
Same as LangChain?
Both are MIT agent/RAG libraries. LlamaIndex's public dollar table is LlamaParse credits.
Same as Dify?
No. Dify is a visual cloud workspace. LlamaIndex is a library plus a parse meter.
Alternatives
Tips
- Quote Free 10K / Starter $50 / Pro $500.
- Do not paste "unpriced LLM framework" into a deck.
- Recheck agentic parse credit burn on scanned PDFs.
Conclusion
LlamaIndex is a MIT framework with a public LlamaParse credit ladder, not a generic connector slogan. Start at llamaindex.ai/pricing, then decide whether Dify already covers the workspace you need.
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RAGFlow
ragflow.io
Open-source RAG plus agents. Rechecked: Apache-2.0, 88,659 GitHub stars. Cloud signup exists; no public dollar table. Not a generic document scanner.
LangChain
www.langchain.com
MIT agent framework. Rechecked: 144,367 GitHub stars. Hosted traces are LangSmith Developer $0 / Plus $39 per seat. Not LangServe-as-the-product.
Dify
dify.ai
Open-source agent workflows. Cloud: Sandbox $0, Professional $59, Team $159 per workspace/month. Community self-host is $0.
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