Document AI & Vision LLM Extraction TCO Cost Estimator — Sathus

Read Full Benchmark: OCR vs Native PDF vs Vision LLMs

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Document Extraction & Vision LLM TCO Cost Estimator

Compare monthly operational spend: Monolithic Vision LLMs vs. Sathus 3-Tier Cascading Router.

88% Modeled Cost Reduction

Monthly Ingestion Volume:100,000 Pages / Month

10K Pages250K Pages500K Pages1M Pages

Born-Digital PDFs (Searchable Text):60%

Routed to Tier 1: PyMuPDF ($0.01 / 1K pages)

Standard Scanned Forms (Clinical / Invoices):30%

Routed to Tier 2: LayoutLMv3 ($1.50 / 1K pages)

Degraded Faxes, Handwriting & Complex Tables:10%

Selectively escalated to Tier 3: Multimodal Vision LLM ($25.00 / 1K pages)

TCO Financial Comparison & Impact

Monolithic Vision LLM

$2,500

per month ($25/1K pages flat)

Sathus Cascading Router

$296

per month (multi-tier triage)

Estimated Annual Net Savings:+$26,448 / Year

By filtering born-digital PDFs and structured forms prior to LLM escalation, enterprises avoid overpaying for raw token processing.

Average Latency Per Page:330 ms (vs. 2,400 ms flat)

Request Production Document AI Benchmark

Reproducible Pricing Methodology & Benchmarks

Tier 1: Born-Digital ($0.01 / 1K)

Native text streams extracted via PyMuPDF in under 10ms per page with zero GPU overhead. Bypasses OCR entirely for digital documents.

Tier 2: LayoutLMv3 ($1.50 / 1K)

Self-hosted ONNX/TensorRT inference on standard cloud GPUs. Achieves 97.4% F1 extraction score on structured clinical and billing forms in ~280ms.

Tier 3: Vision LLM ($25.00 / 1K)

Proprietary multimodal Vision LLMs (e.g. GPT-4o, Claude 3.5 Sonnet) reserved strictly for degraded scans, unconstrained handwriting, and complex borderless financial tables.

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