LangChain vs LlamaIndex: pricing, quotas & features (2026)
The framework for building LLM apps — chains, agents, RAG, LangGraph
vs. Data framework for LLMs — RAG-first with LlamaCloud + LlamaParse
Data sourced from vendor documentation · Last updated June 2026
Summary
LangChain and LlamaIndex are both ai-framework platforms, addressing the same core use case with different implementation philosophies and trade-offs. Both offer a free tier, making it easy to prototype without a credit card. LangChain offers paid plans from $39/month; LlamaIndex does not publish standard pricing. LangChain has a broader documented feature set (18 vs 16 features). The right choice depends on your existing stack, team experience, and feature requirements. All pricing and quota data below is sourced from LangChain and LlamaIndex's official documentation — not generated by AI or estimated.
LangChain vs LlamaIndex: Comparativa de precios, cuotas y características (2026)
En esta comparativa analizamos LangChain y LlamaIndex lado a lado — incluyendo precios mensuales, límites del tier gratuito, características técnicas, cuotas de uso (almacenamiento, transferencia, usuarios activos mensuales) y los interfaces de desarrollo disponibles. Todos los datos proceden de la documentación oficial de cada proveedor, no de respuestas generadas por IA.
LangChain es una plataforma de la categoría ai-framework — The framework for building LLM apps — chains, agents, RAG, LangGraph. Ofrece 5 tiers de precio: OSS (MIT) gratuito, LangSmith (see entry) gratuito, LangGraph Platform — Developer gratuito, LangGraph Platform — Plus desde $39/mes. Su catálogo en Staxly documenta 18 características y 6 interfazes para desarrolladores.
LlamaIndex pertenece a la categoría ai-framework — Data framework for LLMs — RAG-first with LlamaCloud + LlamaParse. Ofrece 4 tiers de precio: OSS (MIT) gratuito, LlamaCloud — Free gratuito, LlamaCloud — Paid gratuito, LlamaCloud Enterprise (personalizado). Su catálogo documenta 16 características y 5 interfazes para desarrolladores.
A continuación encontrarás los tiers de precio completos de ambas plataformas, una matriz de cuotas del tier gratuito (transferencia, almacenamiento, MAU, llamadas a la API y otros límites), el listado completo de características y los interfaces (CLI, SDKs, REST, GraphQL, MCP) disponibles para integrar cada servicio.
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Pricing tiers
LangChain
LlamaIndex
Free-tier quotas head-to-head
Comparing oss on LangChain vs oss on LlamaIndex.
| Metric | LangChain | LlamaIndex |
|---|---|---|
| No overlapping quota metrics for these tiers. | ||
Features
LangChain · 18 features
- Agents — Tool-using agents with reasoning loops.
- Chains (LCEL) — LangChain Expression Language — pipe primitives into chains.
- Checkpointers (LangGraph) — Persist agent state to SQL, Mongo, Redis, Postgres.
- Document Loaders — 150+ loaders for PDF, HTML, Notion, Google Drive, S3, GitHub, etc.
- Human-in-the-loop — Pause agent for approval, then resume.
- LangGraph — Stateful graph-based agent runtime. Durable, replayable, human-in-the-loop.
- LangGraph Platform — Managed hosting for LangGraph agents with state persistence.
- LangGraph Studio — Desktop IDE for debugging agent graphs.
- LangServe — Deploy chains as FastAPI endpoints.
- Memory — Buffer, summary, entity, vector memory stores.
- Output Parsers — Structured JSON, Pydantic schemas, function calling.
- Prompt Templates — Templating + partial filling + output parsers.
- RAG (Retrieval-Augmented Generation) — Standard patterns + 50+ retrievers.
- Streaming — First-class streaming at every layer.
- Subgraphs — Compose agent graphs hierarchically.
- Text Splitters — Recursive, token, semantic splitters for chunking.
- Tools — 400+ pre-built tools (web search, code, databases, APIs).
- Vector Store Integrations — 60+ vector DBs (Pinecone, Chroma, Weaviate, PGVector, Qdrant, Milvus).
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).
Developer interfaces
| Kind | LangChain | LlamaIndex |
|---|---|---|
| SDK | @langchain/core (Node), LangServe, langchain (Python), langgraph (JS), langgraph (Python) | llama-index (Python), llamaindex (TS) |
| REST | LangGraph Platform | LlamaCloud API, LlamaParse API |
| MCP | — | LlamaIndex MCP |
Key takeaways
- Both LangChain and LlamaIndex offer a free tier — LangChain ("OSS (MIT)") and LlamaIndex ("OSS (MIT)") — with no credit card required to start.
- LangChain's entry paid tier (LangGraph Platform — Plus) costs $39/month; LlamaIndex does not list public pricing.
- LangChain has a broader documented feature set (18 features) vs. LlamaIndex (16 features) in Staxly's catalog.
- Developer integrations differ: only LlamaIndex offers MCP.
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