LlamaParse
Depot pick for document-parse (PDF/Office → LLM-ready markdown/JSON). Unstructured when you need ETL…
Depot pick for document-parse (PDF/Office → LLM-ready markdown/JSON). Unstructured when you need ETL connectors/VPC pipelines; Reducto when agentic extraction accuracy on nasty forms beats LlamaParse in a bake-off. Strengths: Default parser in the LlamaIndex agent ecosystem; Tiered accuracy/cost (Fast→Agentic Plus) with auto mode; 130+ file types + extract/classify/split on the same credit meter.
Lock-in risk: higher = more lock-in (worse). Overall already inverts this dimension.
Depot pick for document-parse (PDF/Office → LLM-ready markdown/JSON). Unstructured when you need ETL connectors/VPC pipelines; Reducto when agentic extraction accuracy on nasty forms beats LlamaParse in a bake-off.
Strengths
- · Default parser in the LlamaIndex agent ecosystem
- · Tiered accuracy/cost (Fast→Agentic Plus) with auto mode
- · 130+ file types + extract/classify/split on the same credit meter
Weaknesses
- · Credit math is easy to blow on Agentic Plus (45 cr/page ≈ $0.056/page)
- · Not OSS (LlamaIndex framework is; LlamaParse is commercial)
- · Retention/cache defaults need a privacy pass
Pricing notes
As of 2026-09-14 (llamaindex.ai/pricing + developers.llamaindex.ai): 1,000 credits = $1.25 (NA/EU). Free 10k credits/mo; Starter $50/mo (40k credits); Pro 400k credits. v2 parse tiers: Fast 1 / Cost-effective 3 / Agentic 10 / Agentic Plus 45 credits/page. 48h parse cache is free to re-parse. SOC2/HIPAA/GDPR; VPC on AWS/Azure Marketplace.
Sourced pricing
Contract status unavailable · no_sourced_price. Single normalized $/1M: null. Machine list: /api/pricing?provider=llama-parse
No sourced SKU row. Notes above stay prose.
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