Sarvam AI · FinOps Profile

Sarvam Ai Finops

FinOps view of Sarvam AI spend. Sarvam bills usage-based per-token rates for chat LLM (separate input, cached-input, and output meters per model), per-hour rates for speech-to-text and speech-to-text-translate, and per-10,000-character rates for text-to-speech, translation, transliteration, and language identification. Published rates are in Indian Rupees (INR); accounts start with free credits.

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

It defines 7 billable meters, billed in INR, on a monthly cycle, and pricing category usage-based.

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

Tagged areas include AI, LLM, Speech to Text, Text to Speech, and Translation.

Category: AI and Machine Learning Pricing: Usage-Based Billing: Monthly FOCUS v1.3
AILLMSpeech to TextText to SpeechTranslationIndian LanguagesFinOpsCost ManagementFOCUS

Framework Alignment

Framework
Data Spec

Charge Categories

UsagePurchaseAdjustment

FOCUS Columns

BillingCurrency
INR
ChargeCategory
Usage
InvoiceIssuerName
Sarvam AI
PricingCategory
Usage-Based
ProviderName
Sarvam AI
PublisherName
Sarvam AI
ServiceCategory
AI and Machine Learning
ServiceName
Sarvam AI API

Meters

input_tokens
Unit: tokens
Tokens sent in chat completion requests, billed per 1M tokens per model.
cached_input_tokens
Unit: tokens
Cached-input tokens billed at the discounted cached-input rate per model.
output_tokens
Unit: tokens
Tokens generated, billed per 1M tokens per model.
stt_audio_hours
Unit: hours
Audio hours transcribed via speech-to-text and speech-to-text-translate, billed per hour.
tts_characters
Unit: characters
Text-to-speech characters synthesized, billed per 10,000 characters per Bulbul model.
translate_characters
Unit: characters
Translation and transliteration characters, billed per 10,000 characters.
language_id_characters
Unit: characters
Language identification characters, billed per 10,000 characters.

Sources