Lamini · FinOps Profile
Lamini Finops
FinOps view of Lamini Platform spend. On the On-Demand tier, Lamini bills a flat per-token inference rate and a per-tuning-step rate, drawing down prepaid or free credit. Enterprise spend is a negotiated contract for reserved or on-premises GPU capacity. The two primary cost drivers are inference token volume and tuning steps (which scale with dataset size, epochs, and GPU count).
Lamini Finops is the FinOps profile for Lamini on the APIs.io network, aligned with the FinOps Foundation Framework.
It defines 5 billable meters, billed in USD, on a monthly cycle, and pricing category usage-based.
The profile maps 8 FOCUS columns for cost-allocation reporting.
Tagged areas include AI, LLM, Fine-Tuning, Memory Tuning, and Inference.
Category: AI and Machine Learning
Pricing: Usage-Based
Billing: Monthly
FOCUS v1.3
AILLMFine-TuningMemory TuningInferenceFinOpsCost ManagementFOCUS
Framework Alignment
Charge Categories
UsagePurchaseAdjustment
FOCUS Columns
BillingCurrency
USD
ChargeCategory
Usage
InvoiceIssuerName
Lamini
PricingCategory
Usage-Based
ProviderName
Lamini
PublisherName
Lamini
ServiceCategory
AI and Machine Learning
ServiceName
Lamini Platform
Meters
inference_tokens
Tokens generated and consumed via /v1/completions, billed at a flat per-1M-token rate.
tuning_steps
Tuning steps executed by /v1/train jobs, billed per step and scaling with dataset size, epochs, and GPU count.
embedding_requests
Embedding generation requests via /v1/embedding.
classification_requests
Classification and prediction requests via the /v1/classifier endpoints.
free_credit
Free credit granted to new accounts, drawn down before paid usage.