Chutes · FinOps Profile

Chutes Finops

FinOps view of Chutes spend. Chutes bills usage-based per-token rates for public LLM inference (per model, with some models free/subsidized by Bittensor TAO incentives), per-second GPU runtime plus a one-time deployment fee for private (dedicated) chutes, and optional fixed monthly budgets (Plus/Pro) that discount per-token rates beyond an included quota. Costs fluctuate with Bittensor Subnet 64 economics, so unit rates are not reconciled here.

Chutes Finops is the FinOps profile for Chutes 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, Inference, Serverless, and GPU.

Category: AI and Machine Learning Pricing: Usage-Based Billing: Monthly FOCUS v1.3
AILLMInferenceServerlessGPUBittensorFinOpsCost ManagementFOCUS

Framework Alignment

Framework
FinOps Foundation Framework
Data Spec
FOCUS v1.3

Charge Categories

UsagePurchaseAdjustment

FOCUS Columns

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

Meters

input_tokens
Unit: tokens
Tokens sent in chat completion requests, billed per 1M tokens per model.
output_tokens
Unit: tokens
Tokens generated, billed per 1M tokens per model.
gpu_runtime_seconds
Unit: seconds
Per-second runtime of private (dedicated) chutes on confidential GPU capacity.
deployment_fee
Unit: deploys
One-time fee charged per private chute deployment (3x the GPU hourly rate).
monthly_budget
Unit: subscriptions
Fixed monthly plan budget (Plus/Pro) charged per subscription.

Sources