Tabby · FinOps Profile

Tabby Ml Finops

FinOps view of Tabby spend. Tabby's server is open source (Apache-2.0) and free to self-host - in that model there is no vendor invoice at all; the cost is your own compute for running the Tabby server, dominated by the GPU (or CPU) that serves the completion and chat models, plus storage for the indexed knowledge base. Because Tabby makes no external calls to third parties, there are no per-token inference charges to a model vendor. TabbyML's hosted plans convert that owned-infrastructure cost into a predictable per-seat subscription: free Community (up to 5 users), Team at 19 USD per seat per month (up to 50 users), and custom Enterprise.

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

It defines 3 billable meters, billed in USD, on a monthly cycle, and pricing category subscription-based.

The profile maps 8 FOCUS columns for cost-allocation reporting.

Tagged areas include AI Coding Assistant, Code Completion, Open Source, FinOps, and Cost Management.

Category: AI and Machine Learning Pricing: Subscription-Based Billing: Monthly FOCUS v1.3
AI Coding AssistantCode CompletionOpen SourceFinOpsCost ManagementFOCUS

Framework Alignment

Framework
FinOps Foundation Framework
Data Spec
FOCUS v1.3

Charge Categories

PurchaseUsage

FOCUS Columns

BillingCurrency
USD
ChargeCategory
Purchase
InvoiceIssuerName
TabbyML
PricingCategory
Subscription-Based
ProviderName
TabbyML
PublisherName
TabbyML
ServiceCategory
AI and Machine Learning
ServiceName
Tabby

Meters

hosted_seats
Unit: seats
Per-seat subscription on hosted Team plans, billed monthly.
self_hosted_compute
Unit: hours
GPU/CPU time to run the self-hosted Tabby server (no TabbyML invoice).
index_storage
Unit: bytes
Storage for the ingested knowledge base and repository index.

Sources