Groq · FinOps Profile

Groq Finops

FinOps view of GroqCloud spend. Groq bills usage-based per-token rates for chat / vision / reasoning per model, per-million-character rates for TTS, per-hour transcription rates for STT, per-call or per-hour rates for tools, and a 50% Batch discount. Prompt Caching gives 50% off cached input tokens.

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

It defines 9 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, LPU, and Low Latency.

Category: AI and Machine Learning Pricing: Usage-Based Billing: Monthly FOCUS v1.3
Method: generated, dated 2026-05-08.
Written by API Evangelist on 2026-05-08 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
AILLMInferenceLPULow LatencyFinOpsCost ManagementFOCUS

Framework Alignment

Framework
FinOps Foundation Framework
Data Spec
FOCUS v1.3

Charge Categories

UsagePurchaseAdjustment

FOCUS Columns

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

Meters

input_tokens
Unit: tokens
Tokens sent in chat / vision / reasoning requests, billed per 1M tokens per model.
cached_input_tokens
Unit: tokens
Cached-input tokens billed at 50% of the standard input rate.
output_tokens
Unit: tokens
Tokens generated, billed per 1M tokens per model.
tts_characters
Unit: characters
TTS characters synthesized, billed per 1M characters per voice/model.
stt_audio_hours
Unit: hours
Audio hours transcribed, billed per hour per Whisper variant.
tool_invocations
Unit: invocations
Tool calls (web search, Wolfram) priced per 1,000 invocations.
tool_compute_hours
Unit: hours
Tool compute hours (e.g., Code Execution at $0.18/hr).
batch_tokens
Unit: tokens
Tokens consumed via the Batch API at 50% discount.
flex_tokens
Unit: tokens
Tokens consumed via Flex Processing tier at relaxed-latency discount.

Sources

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