Every RAG pipeline has a ceiling, and it is set earlier than most people think: at parse time. If your PDF extractor turns a pricing table into word soup, no embedding model, reranker, or prompt trick downstream will un-soup it. Retrieval quality is upper-bounded by parse quality, which is why I think document parsing is the most underrated line item in the whole RAG stack.
We route parse traffic across three providers. Here they are, with routed prices from our catalog (provider list plus 20%; divide by 1.2 for direct list).
| Provider | Routed price per 1k pages | Quality score | Notes |
|---|---|---|---|
| LlamaParse | $1.50 | 75 | Premium mode costs ~15x base units |
| Reducto | $1.80 | 92 | Highest parse score in our catalog |
| Mistral OCR | $2.40 | 78 | OCR-centric |
The spread here is unusual for our catalog: the cheapest provider is not the lowest quality, the most expensive is not the highest, and the best score sits in the middle of the price range. Parsing does not reduce to a price ladder, so let me take them one at a time.
1. LlamaParse: the budget default, with an asterisk
LlamaParse is the cheapest way into the category at $1.50 per thousand pages routed, and for clean, digitally-native PDFs (reports, papers, documentation exports) its base mode does the job. We score it 75. If your corpus is mostly well-behaved documents, this is the sensible place to start, and the savings at ingestion scale are real: parsing a million pages costs $1,500 routed here versus $1,800 at Reducto and $2,400 at Mistral OCR.
The asterisk is the pricing model. LlamaParse’s premium mode, the one you reach for when documents get hard, costs roughly 15x the base units. That transforms the economics: the budget option quietly becomes the most expensive option in the category the moment your documents need the good parser. If you expect a meaningful fraction of hard pages, price the blend, not the sticker. A corpus that sends even a tenth of its pages through a 15x premium tier is no longer a budget corpus.
2. Reducto: the quality pick, priced like it knows
Reducto scores 92 in our catalog, the highest of the three by a wide margin, at $1.80 per thousand pages routed. Its pitch is consistency: tables, multi-column layouts, and messy scans come back structured, and you get that quality at one flat rate instead of a base-plus-premium ladder. In my experience the value of that predictability compounds in RAG specifically, because parse failures are silent. A mangled table does not throw an exception; it just poisons your index, and you find out weeks later when retrieval returns nonsense for a query that should have been easy.
For 20% over LlamaParse’s base price, Reducto is the default I would recommend for any corpus where documents are heterogeneous or where you cannot eyeball the parses. Which is most corpora.
3. Mistral OCR: the OCR specialist
Mistral OCR is the most expensive of the three at $2.40 per thousand pages routed, scoring 78. As the name says, it comes at parsing from the OCR direction, which makes it most interesting when your corpus is scans and images of documents rather than digital PDFs. For born-digital files, Reducto at 25% less money and a higher score is the stronger pick. But in a failover chain, Mistral OCR earns its slot the same way Brave does in search: it is a genuinely different implementation, so it fails on different documents than the other two. (I wrote about why that independence matters in why AI agents need failover.)
How this plays out in a RAG pipeline
Some practical notes from routing this category:
Parse once, at the quality your corpus deserves. Parsing happens at ingestion, once per document, while retrieval happens forever after. Paying an extra $0.30 per thousand pages at ingestion to avoid re-embedding a corrupted corpus later is one of the easiest trades in the stack. If you re-parse, you re-embed, and embedding has its own bill.
Tier your documents if you can. If you can cheaply classify documents as easy or hard (page count, has-images, source system), send the easy majority to LlamaParse base mode and the hard minority to Reducto. That blend usually beats any single-provider choice on both cost and quality.
Treat garbage as failure. The nastiest parse failures return 200 with degraded content. Empty pages, repeated headers, tables flattened to prose. A router can catch the empty cases and fail over (ours tries up to three providers), but sampling your parses by eye before you embed a million pages is unglamorous work that pays for itself.
Mind the units. All three providers bill per page, but “page” interacts with premium modes and document types differently. I break down unit-pricing literacy across categories in understanding per-unit pricing.
The short version: start with Reducto if quality is load-bearing, start with LlamaParse if your documents are clean and your volume is high, and keep a second parser in the chain either way.
Current pricing for all three, generated from the same open catalog our router reads, is on the document parsing comparison page.