CentML · FinOps Profile

Centml Finops

FinOps view of CentML spend. CentML bills on a credit-based model where 1 credit equals 1 USD. Serverless inference is metered by input and output tokens with per-token rates that vary by model. Dedicated deployments are metered by GPU hardware type and duration on a per-minute basis (per-GPU-hour equivalent). Exact per-model and per-GPU-hour rates are not reconciled here.

Centml Finops is the FinOps profile for CentML on the APIs.io network, aligned with the FinOps Foundation Framework.

It defines 4 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, Inference, Serverless, and GPU.

Category: AI and Machine Learning Pricing: Usage-Based Billing: Monthly FOCUS v1.3
Method: generated, dated 2026-06-21.
Written by API Evangelist on 2026-06-21 from the provider's published pricing, and not verified by the provider. Treat the meters and categories as our reading of their pages, not their statement.
View Source
AILLMInferenceServerlessGPUFinOpsCost ManagementFOCUS

Framework Alignment

Framework
FinOps Foundation Framework
Data Spec
FOCUS v1.3

Charge Categories

UsagePurchaseAdjustment

FOCUS Columns

BillingCurrency
USD
ChargeCategory
Usage
InvoiceIssuerName
CentML
PricingCategory
Usage-Based
ProviderName
CentML
PublisherName
CentML
ServiceCategory
AI and Machine Learning
ServiceName
CentML Platform

Meters

serverless_input_tokens
Unit: tokens
Input tokens sent to serverless chat / text completions, billed per 1M tokens per model.
serverless_output_tokens
Unit: tokens
Output tokens generated by serverless endpoints, billed per 1M tokens per model.
dedicated_gpu_hours
Unit: gpu_hours
GPU hours consumed by dedicated inference / compute deployments, billed per minute by hardware instance type.
credits
Unit: credits
CentML credits consumed, where 1 credit equals 1 USD.

Sources

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