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LlamaIndex

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LlamaIndex is an open-source Python and TypeScript framework for building context-aware AI agents, paired with Workflows for multi-step orchestration.

The six
  • API accessYes
  • Free tierYes
  • MCP serverYes
  • Own API keyYes
  • Open sourcePartly
  • Self-hostedPartly
From
Freethen $50/month
Best for
Engineers building RAG-heavy or document-heavy agents who want an MIT-licensed OSS core with an optional managed parsing and extraction platform on top.

Checked · How we check · Editorial policy

Not for Teams that need turnkey document classification, a human-in-the-loop review UI or schema-versioned extraction. Classification and review are not on the platform.

The facts, with their sources

What it does

Writes code
PartlyBuilder turns natural language into workflow code; it does not author application code from a description.BuilderNatural language to code workflows builderllamaindex.ai/pricing
Ships it
PartlyWhat ships is the agent workflow itself: single-click deploy straight from a GitHub repo, listed on all four plans.Single-click deploy of agentic workflows from GitHub reposllamaindex.ai/pricing
Done-for-you service
NoYou run the software: one API key, one SDK, five products; the highest-touch offering is a dedicated account manager.LlamaParse is the enterprise platform for turning documents into production AI pipelines. One API key, one SDK, and five composable productsdevelopers.llamaindex.ai/llamaparse

How much it does unattended

Runs autonomously
PartlyParse/extract/classify jobs run unattended via API, SDK or MCP; multi-step workflows are explicitly built to include human review.Workflows is used to stitch together multiple steps, including combining human-in-the-loop review, document processing, and more, all in a single…llamaindex.ai/workflows
Multi-agent
YesWorkflows orchestrates multi-step systems and can combine several agents in one run.Workflows allows developers to build highly controlled multi-step workflows that can even combine multiple agents.llamaindex.ai/workflows
Agent permissions
PartlyFramework exposes human-in-the-loop and state as building blocks the developer wires up; the vendor publishes no policy engine that gates agent actions.Leverage core components like memory, state management, human-in-the-loop, reflection, and more.llamaindex.ai/llamaindex

Which models it runs on

Claude
YesAnthropic Claude is one of three model families the platform runs, via Anthropic API or AWS Bedrock.developers.llamaindex.ai/llamaparse/sel…
GPT
YesOpenAI models are supported directly or through Azure OpenAI.developers.llamaindex.ai/llamaparse/sel…
Open models
PartlyThe open-source framework integrates HuggingFace and local models; the hosted platform's enumerated model families are OpenAI, Anthropic and Google only.We support integrations with OpenAI, HuggingFace, Anthropic, and more.developers.llamaindex.ai/python/framewo…
Model choice
Partlyv1 API lets you name the model per page; the recommended v2 tier system picks the model for you.In the v2 API, parsing uses a simplified tier-based system. Choose a tier and the platform handles model selection automatically.developers.llamaindex.ai/llamaparse/gen…

Where you use it

In your editor
PartlyReached inside IDE agents through the hosted MCP server and coding-agent skills, not as a first-party IDE extension.The LlamaParse MCP is a Model Context Protocol server that exposes the LlamaParse Platform's document-processing capabilities (Parse, Classify,…developers.llamaindex.ai/llamaparse/for…
On the command line
YesSkills and plugins install into terminal coding agents Claude Code and Codex; a Go CLI (llp) is a documented install path.LlamaParse ships agent skills (focused capabilities that teach coding agents how to parse and extract content from documents) and agent plugins that…developers.llamaindex.ai/llamaparse/for…
In your pipeline
PartlyCI use is deployment only: a spec kept in source control, applied on every push.Use llamactl deployments apply -f in GitHub Actions when you want a deployment spec in source control and an automated update on every push.developers.llamaindex.ai/python/llamaag…
In a browser
YesEvery product is usable from the hosted dashboard as well as SDK and REST API.It's available as a web UI, Python SDK, and REST API.developers.llamaindex.ai/llamaparse/gen…

Whose machine it runs on

Self-hosted
PartlyFull platform deploys into your own Kubernetes/VPC, but only on Enterprise plans.Self-hosted LlamaCloud is available on Enterprise plans.developers.llamaindex.ai/llamaparse/sel…
Open source
PartlyLlamaIndex and Workflows are open source; the LlamaParse commercial platform is not.Our open source projects, LlamaIndex and Workflows, provide AI builders with the foundational building blocks for creating AI apps.llamaindex.ai/pricing

What it costs to run

How it meters
YesBilling is credit-metered on top of a flat monthly plan fee: each parse, index or extract action spends credits at 1,000 credits for $1.25, plans bundle 10K to 400K credits, and pay-as-you-go above the bundle is capped per plan ($500/mo on Starter, $5,000/mo on Pro).The LlamaIndex platform operates on a credit-based system, where each action—such as parsing, indexing, or extracting—costs a certain number of…llamaindex.ai/pricing
Free credit
Yes$12.50 of free usage (10,000 credits at $0.00125 each), a month.It provides a generous provision of 10k free credits a month to all new users, but is not open source.llamaindex.ai/pricing
Free tier
YesFree plan self-serve with 10,000 credits a month, no sales call.llamaindex.ai/pricing
API access
YesOne API key drives every product from Python, TypeScript, Go, Java or REST.One API key, one SDK, and five composable products: Parse (agentic OCR), Extract (structured data), Classify, Split, and Index.developers.llamaindex.ai/llamaparse
MCP server
YesHosted MCP server with OAuth exposes parse, classify, extract, split and index tools to any MCP client, in NA and EU.Instead of wiring up the REST API or SDK yourself, you connect your agent to the MCP server once and let it parse documents, extract structured data,…developers.llamaindex.ai/llamaparse/for…
Bring your own key
YesSelf-hosted deployments call providers with your own keys; on the v1 hosted API 'Use your own API key' bills 1 credit per page.All LLM calls go directly from your cluster to providers using your own API keys and contracts.developers.llamaindex.ai/llamaparse/sel…

Buying it for a team

A company can buy it
YesOrganizations hold members and projects; Enterprise is contracted with sales.This is done through the use of Organizations, which has a list of team members that have access to all resources under that organization.developers.llamaindex.ai/llamaparse/gen…
Seat model
NoNot sold per seat: Free, Starter and Pro each include 100 users and price on credits instead.llamaindex.ai/pricing
Pooled budget
PartlyPlan credits belong to the organization, but API keys and incurred billing stay scoped to the individual user.Every user within an organization has the same level of access to the projects and other resources under that organization. However, API keys and any…developers.llamaindex.ai/llamaparse/gen…
Admin controls
NoManaged service has no role separation: organization members all hold the same access level.Every user within an organization has the same level of access to the projects and other resources under that organization.developers.llamaindex.ai/llamaparse/gen…
Audit log
NoThe plan comparison's security rows stop at compliance, VPC, SSO/MFA and custom BAAs; no audit log is offered on any tier.SOC2, HIPAA, and GDPR compliancellamaindex.ai/pricing
Single sign-on
PartlySSO & MFA is an Enterprise-only row; self-hosted deployments integrate OIDC with Entra ID or Okta.Enterprise authentication - OIDC integration with your identity provider (Microsoft Entra ID, Okta, and others)developers.llamaindex.ai/llamaparse/sel…

What happens to your code

Opt out of training
YesNothing is used for training by default, and do_not_cache=True skips the 48-hour cache entirely.Your data is kept private to you only and is used only to return your results, never for model training.developers.llamaindex.ai/llamaparse/gen…
Data residency
YesChoose North America (us-east-1) or Europe (eu-central-1); uploaded data stays in its region, and regions cannot be migrated or linked.Data will be stored within the region it is uploaded to. If interacting with LlamaCloud EU for example, all data provided will remain within the EU…developers.llamaindex.ai/llamaparse/gen…
Getting out
PartlyResults export as markdown, JSON, XLSX or parquet and files can be deleted, but credits do not roll over and bonus credits vanish on downgrade.Unused bonus credits expire immediately if you downgrade.llamaindex.ai/pricing
Certifications
YesSOC 2 Type 2 certified, HIPAA compliant and GDPR-adherent; BAAs are Enterprise-only.LlamaCloud adheres to the General Data Protection Regulation (GDPR) and all other applicable laws and regulations governing our services. We are also…developers.llamaindex.ai/llamaparse/gen…

Plans and pricing

Price and terms

Free plan
YesYes
The terms in full

Free plan at $0/month with 10K credits included (the page's FAQ calls it 10k free credits a month), 100 users, 5 concurrent parse jobs, 5 indexes, 50 files per index, 1 project, file upload only as a data source, community support, and no pay-as-you-go.

What needs a higher plan

Enterprise
Self-hosted, Single sign-on

From llamaindex.ai/pricing, checked .

Works with

  • Claude
  • GPT
  • Partly
    Open models

    LlamaIndex open-source framework

For AI agents

MCP server
Yes
API
Yes

Developer docs

Screenshots

  • Pricing page of LlamaIndex
    Pricing page, llamaindex.ai, captured
  • Docs of LlamaIndex
    Docs, llamaindex.ai, captured

Filed under

Agent frameworksAPIClaudeEnterpriseFree tierGPTMulti-agentOpen sourceSelf-hosted

Sources and updates

Last changed

Repository30 August 2026

Licence
MIT
Stars
51,919
Forks
8,054
Last push
29 August 2026

The Agents Index in AI answers0 of 1

  • PerplexityDoes not cite The Agents IndexAsked LlamaIndex alternatives on Other sources: g2.com, unsiloed.ai, vantaige.io, spotsaas.com, costbench.com, us.fitgap.com

Updates6

  • Capabilities · Free tier · Plan limits
  • Capabilities · Free tier · Terms
  • Capabilities · Free tier · Price · Terms
  • Alternatives · Documentation link · LinkedIn link · Repository · Summary · Tagline
  • Tag:claude
  • Summary · Tagline

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Alternatives

  • LangChain

    Open source agent frameworks plus LangSmith, a hosted platform to trace, evaluate, deploy and govern agents.

    • API access: Yes
    • Free tier: Yes
    • MCP server: Yes
    • Own API key: Partly
    • Open source: Partly
    • Self-hosted: Partly