specification: FinOps Framework specificationVersion: '1.0' provider: LlamaParse providerId: llamaparse created: '2026-06-12' modified: '2026-06-12' billingModel: credit-based description: > LlamaParse uses a credit-based billing model where all platform products (Parse, Extract, Classify, Split, Index, Sheets) are billed in credits. Credits are purchased via monthly subscription plans or consumed pay-as-you-go at $1.25 per 1,000 credits. Credits vary by product tier and page count, giving teams fine-grained cost control by selecting the appropriate processing tier for each document type. focusColumns: - ChargePeriodStart - ChargePeriodEnd - ServiceName - ServiceCategory - UsageType - UsageUnit - UsageQuantity - BilledCurrency - BilledCost - EffectiveCost - PricingUnit - PricingQuantity meters: - name: parse_credits_fast description: Credits consumed by Parse API in fast tier unit: credits pricingUnit: credits_per_page rate: 1 product: Parse tier: fast - name: parse_credits_cost_effective description: Credits consumed by Parse API in cost-effective tier unit: credits pricingUnit: credits_per_page rate: 3 product: Parse tier: cost_effective - name: parse_credits_agentic description: Credits consumed by Parse API in agentic tier unit: credits pricingUnit: credits_per_page rate: 10 product: Parse tier: agentic - name: parse_credits_agentic_plus description: Credits consumed by Parse API in agentic-plus tier unit: credits pricingUnit: credits_per_page rate: 45 product: Parse tier: agentic_plus - name: extract_credits_cost_effective description: Credits consumed by Extract API in cost-effective tier unit: credits pricingUnit: credits_per_page rate: 5 product: Extract tier: cost_effective - name: extract_credits_agentic description: Credits consumed by Extract API in agentic tier unit: credits pricingUnit: credits_per_page rate: 15 product: Extract tier: agentic - name: classify_credits_fast description: Credits consumed by Classify API in fast mode unit: credits pricingUnit: credits_per_page rate: 1 product: Classify tier: fast - name: classify_credits_multimodal description: Credits consumed by Classify API in multimodal mode unit: credits pricingUnit: credits_per_page rate: 2 product: Classify tier: multimodal - name: index_credits_standard description: Credits consumed by Index API in standard mode unit: credits pricingUnit: credits_per_page rate: 1 product: Index mode: standard - name: index_credits_multimodal description: Credits consumed by Index API in multi-modal mode unit: credits pricingUnit: credits_per_page rate: 2 product: Index mode: multi_modal - name: split_credits_standard description: Credits consumed by Split API per page unit: credits pricingUnit: credits_per_page rate: 4 product: Split - name: split_credits_cached description: Credits consumed by Split API per page when file is cached unit: credits pricingUnit: credits_per_page rate: 3 product: Split - name: addon_layout_extraction description: Additional credits per page for layout extraction add-on unit: credits pricingUnit: credits_per_page rate: 3 product: Parse type: addon - name: addon_audio description: Credits per minute for audio processing add-on unit: credits pricingUnit: credits_per_minute rate: 3 product: Parse type: addon creditPricing: regions: - name: North America and Europe pricePerCredit: 0.00125 currency: USD description: $1.25 per 1,000 credits principles: - name: Visibility description: > LlamaCloud exposes per-product, per-tier credit consumption in the dashboard and billing portal, enabling teams to attribute costs to document types and processing modes. capabilities: - Credit usage tracking per organization and project - Real-time billing and usage dashboard at cloud.llamaindex.ai - Pricing documentation listing credits-per-page for all tiers - name: Optimization description: > Cost optimization is built into the platform tier structure. Teams should select the lowest tier sufficient for their accuracy requirements, use file caching to reduce re-processing costs, and leverage classification before expensive parse/extract operations to filter out irrelevant documents. strategies: - Use fast tier (1 credit/page) for simple text-heavy PDFs - Use cost-effective tier (3 credits/page) for standard business documents - Cache files to avoid re-upload costs - Use Extract-only pricing on previously parsed documents - Pre-filter with Classify before agentic Parse or Extract - Use pay-as-you-go to avoid over-provisioning on variable workloads