Staxly

LlamaIndex vs Cursor

Data framework for LLMs — RAG-first with LlamaCloud + LlamaParse
vs. AI-native code editor — VS Code fork with deep AI integration

LlamaIndex website ↗Cursor website ↗

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
LlamaIndex website ↗

Cursor

Hobby (Free)
Free. Limited Agent requests + Tab completions. No credit card.
Free
Pro
$20/month. Extended Agent limits, frontier models, MCPs + skills + hooks, cloud agents.
$20/mo
Teams
$40/user/month. Shared chats + commands + rules, centralized billing, RBAC, SAML/OIDC SSO.
$40/mo
Pro+ (Recommended)
$60/month. Everything in Pro + 3x usage on OpenAI, Claude, Gemini.
$60/mo
Ultra
$200/month. 20x usage multiplier + priority access to new features.
$200/mo
Enterprise
Custom. Pooled usage, SCIM, AI code tracking API + audit logs, priority support.
Custom
Cursor website ↗

Free-tier quotas head-to-head

Comparing oss on LlamaIndex vs hobby on Cursor.

MetricLlamaIndexCursor
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).

Cursor · 15 features

  • Agent Mode — Autonomous multi-file editing + tool use. Runs terminal commands with confirmati…
  • Background Agents — Run agents in the cloud to tackle longer tasks async.
  • BugBot (PR reviews) — AI reviewer on GitHub PRs.
  • Chat (⌘L) — Conversational chat with codebase context.
  • Cmd-K Inline Edit — Highlight code + ⌘K → natural language edit instruction.
  • Codebase Indexing — Embedding-based semantic search over your codebase.
  • Composer — Multi-file edit sessions with full context.
  • .cursorrules / Project Rules — Custom system prompts per project to steer the AI.
  • MCP Support — Add Model Context Protocol servers to extend agent capabilities.
  • Privacy Mode — Data never used for training; zero-retention routing.
  • Skills & Hooks — User-defined skills library + lifecycle hooks.
  • Tab (multi-line completion) — Predictive completions including next-edit suggestions.
  • Team Shared Context — Share chats, commands, rules across team.
  • VS Code Extension Compat — Most VS Code extensions work via the marketplace.
  • YOLO Mode — Auto-approve all agent actions (for trusted workflows).

Developer interfaces

KindLlamaIndexCursor
CLI—Cursor CLI
SDKllama-index (Python), llamaindex (TS)—
RESTLlamaCloud API, LlamaParse API—
MCPLlamaIndex MCPCursor MCP support
OTHER—Cursor Desktop App, Cursor Rules (.cursorrules), Privacy Mode
Staxly is an independent catalog of developer platforms. Outbound links to LlamaIndex and Cursor are plain references to their official websites. Pricing is verified against vendor pages at publication time — reconfirm before buying.

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