CrewAI vs LlamaIndex: pricing, quotas & features (2025)
Role-playing multi-agent framework — agents that work together
vs. Data framework for LLMs — RAG-first with LlamaCloud + LlamaParse
Data sourced from vendor documentation · Last updated May 2026
Summary
CrewAI 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. LlamaIndex has a broader documented feature set (16 vs 11 features). The right choice depends on your existing stack, team experience, and feature requirements. All pricing and quota data below is sourced from CrewAI and LlamaIndex's official documentation — not generated by AI or estimated.
CrewAI vs LlamaIndex: Comparativa de precios, cuotas y características (2025)
En esta comparativa analizamos CrewAI 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.
CrewAI es una plataforma de la categoría ai-framework — Role-playing multi-agent framework — agents that work together. Ofrece 2 tiers de precio: OSS (MIT) gratuito, Enterprise (personalizado). Su catálogo en Staxly documenta 11 características y 3 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
CrewAI
LlamaIndex
Free-tier quotas head-to-head
Comparing oss on CrewAI vs oss on LlamaIndex.
| Metric | CrewAI | LlamaIndex |
|---|---|---|
| No overlapping quota metrics for these tiers. | ||
Features
CrewAI · 11 features
- CrewAI Enterprise UI — Managed cloud for deploying + monitoring crews.
- Hierarchical Process — Manager agent delegates to workers.
- Human Input — human_input=True pauses for human review/approval.
- MCP Tool Support — Consume MCP servers as Agent tools.
- Memory — Short-term, long-term, entity memory per Crew/Agent.
- Observability Integrations — Langfuse, LangSmith, AgentOps, OpenLIT.
- Planning Feature — Optional planner agent that plans before task execution.
- Task Guardrails — Validate task output + retry with feedback.
- Testing — Test Crews deterministically with eval metrics.
- Tools — 70+ pre-built tools (search, scrape, file, vision, code exec).
- Training — Train agents from feedback loops.
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 | CrewAI | LlamaIndex |
|---|---|---|
| CLI | CrewAI CLI | — |
| SDK | crewai (Python) | llama-index (Python), llamaindex (TS) |
| REST | CrewAI Enterprise | LlamaCloud API, LlamaParse API |
| MCP | — | LlamaIndex MCP |
Key takeaways
- Both CrewAI and LlamaIndex offer a free tier — CrewAI ("OSS (MIT)") and LlamaIndex ("OSS (MIT)") — with no credit card required to start.
- LlamaIndex has a broader documented feature set (16 features) vs. CrewAI (11 features) in Staxly's catalog.
- Developer integrations differ: only CrewAI offers CLI; only LlamaIndex offers MCP.
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