What is LlamaIndex?
LlamaParse is a document processing platform that automates parsing, extraction, and indexing of documents using vision language models for agentic workflows.
LlamaIndex pricing
Plans, per-tier features and add-ons, dated and linked to live pricing. Pricing changes often; always verify at source before you rely on it.
From $50/month with 40K credits included. 1,000 credits = $1.25. Free tier (10K credits/month). Pay-as-you-go additional credits.
Free
FreeGet started with LlamaParse for free
- users
- 100
- credits
- 10K/month
- indexes
- 5
- projects
- 1
- files_per_index
- 50
- concurrent_parse_jobs
- 5
- 10K credits included (~1000 pages)
- 5 concurrent parse jobs
- Multiple parse tiers (Cost Effective, Agentic, Agentic Plus)
- Advanced table extraction
- Advanced chart & graph extraction
- 130+ file formats supported
- 80+ languages supported
- Structured JSON output
- 5 indexes
- 50 files per index
- 100 users
- Community support
Starter
Join thousands of users
- users
- 100
- credits
- 40K/month
- indexes
- 50
- projects
- 1
- files_per_index
- 500
- additional_credits
- up to 400K
- concurrent_parse_jobs
- 5
- 40K credits included
- Pay-as-you-go up to $500/mo additional
- 5 concurrent parse jobs
- Multiple parse tiers
- Auto Mode with smart tier routing
- Advanced table extraction
- Advanced chart & graph extraction
- Advanced image understanding
- Layout detection with bounding boxes
- Structured JSON output
- 80+ languages
- 50 indexes
- 500 files per index
- Basic email support
Pro
Start growing today
- users
- 100
- credits
- 400K/month
- indexes
- 100
- projects
- 5
- files_per_index
- 2,000
- additional_credits
- up to 4,000K
- concurrent_parse_jobs
- 20
- concurrent_extract_jobs
- 20
- 400K credits included
- Pay-as-you-go up to $5,000/mo additional
- 20 concurrent parse jobs
- 20 concurrent extract jobs
- Multiple parse tiers
- Auto Mode
- Saved parse configs & model versioning
- Advanced extraction with citations
- Concurrent sheets jobs: 4
- 100 indexes
- 2,000 files per index
- 5 projects
- Slack support
Enterprise
Contact salesCustom pricing for enterprise needs
- users
- None
- credits
- Custom
- indexes
- None
- rate_limits
- 5x higher
- concurrent_parse_jobs
- 100
- Custom credit allocation
- 100 concurrent parse jobs
- Volume discount on credits
- 5x higher rate limits
- Enterprise SSO
- SaaS or Hybrid cloud deployment
- Dedicated account manager
- All Pro features included
What LlamaIndex does
The capabilities that matter for mlops & llmops tools, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Tool role
- End-to-end ML platform
- Self-hostable / OSS core
- ✗
- Managed cloud available
- ✓
- On-prem / VPC deployment
- ✓
- LLM tracing / observability
- ✗
- Evaluation (offline / LLM-judge / human)
- ✗
- Prompt management + versioning
- ✗
- Experiment tracking / model registry
- ✗
- Model serving / inference endpoint
- ✗
- OpenTelemetry / OpenLLMetry compatible
- ✗
- Framework-agnostic
- ✓
- Multi-provider model support
- ✗
- No-train-on-customer-data guarantee
- Unknown
Platform & deployment
Independently observed- Web
- Cloud / SaaS
- Hybrid
LlamaIndex alternatives
Other mlops & llmops tools we track, ranked by the same independent score.
- OllamaThe easiest way to build with open modelslow · 22%
- OllamaThe easiest way to build with open modelslow · 45%
- BasetenInference is everythinglow · 47%
- PortkeyProduction Stack for Gen AI Builderslow · 46%
- MLflowOpen Source AI Platform for Agents, LLMs & Modelslow · 47%
- Weights & BiasesThe AI developer platformlow · 25%
The Vioscale score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for LlamaIndex, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Package Downloads | 81 | 26.00 | 2099.8 | ✓ |
| Capabilities | 58 | 32.00 | 1850.0 | ✓ |
| Pricing Transparency | 100 | 16.00 | 1600.0 | ✓ |
| Reliability | 95 | 12.00 | 1140.0 | ✓ |
| Release Cadence | 91 | 10.00 | 905.6 | ✓ |
| Github Activity | 41 | 18.00 | 737.3 | ✓ |
| Security Posture | 55 | 12.00 | 660.0 | ✓ |
| Price Level | 50 | 10.00 | 500.0 | ✓ |
| Github Stars | 89 | 5.00 | 444.2 | ✓ |
| Integrations | 0 | 18.00 | 0.0 | - |
| Stackoverflow Activity | 0 | 12.00 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Activity
| Attribute | Value | Evidence |
|---|---|---|
| Commits last 30d | 19 | mediumsource · 2026-08-01 · 65% |
Adoption
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | {"role":"platform","evaluation":false,"managed_cloud":true,"model_serving":false,"self_hostable":false,"multi_provider":false,"vpc_deployment":true,"otel_compatible":false,"no_train_on_data":"unknown","llm_observability":false,"prompt_management":false,"framework_agnostic":true,"experiment_tracking":false} | mediumsource · 2026-08-01 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Python | highsource · 2026-08-01 · 98% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | MIT | highsource · 2026-08-01 · 99% |
Pricing
Release
| Attribute | Value | Evidence |
|---|---|---|
| Cadence days | 17 | mediumsource · 2026-08-01 · 70% |