Models

Our models listen, think and speak.

Mira STT listens and Gemma thinks, on our GPUs in India. Mira TTS speaks.

  • 8languages live in speech and in the voice
  • ₹0.90a minute to stream speech²
  • 18.3%word errors on Hindi phone calls (Sarvam 21.6%)³
  • 82 msto a final transcript after the caller stops³

Three models

Each model is priced on its own, never at an agent call’s rate.

The voice by the connected minute or the character, the ears by the minute of audio, the model by the token.

Text to speech

Mira TTS

₹0.90a minute connected, on the WebSocket²

₹1.80per 1,000 characters, over HTTP: ₹1,800 per 10 lakh (1 million)

Pay as you go

Monthly
No commitment
At once
5 concurrent requests

Business

Monthly
₹50,000, credited to your wallet
At once
25 concurrent requests
  • On the text-to-speech WebSocket you pay for time, not text: every second the socket is open is billed at the per-minute rate, and the speech it carries is not charged again by the character. HTTP requests are billed by the character.
  • Shared endpoint · No contractual SLA. Top-ups use the same rates.
  • Enterprise: Custom volume pricing, concurrency, dedicated endpoint and SLA.
About Mira TTS

Speech to text

Mira STT

₹0.30a minute of audio, over HTTP or the WebSocket²

₹15an hour of recorded audio, transcribed offline

  • Speech to text is billed per second of audio you send, on HTTP and on the WebSocket alike.
  • Offline transcription: speaker-labelled transcript with a speaker id per voice · Recordings up to 2 hours · Shared endpoint · No contractual SLA.
About Mira STT

Language model

Mira LLM

Gemma 4 26B A4B

₹15input · $0.15²

₹9.30cached input · $0.093

₹55output · $0.55, per 10,00,000 tokens

Pay as you go

Monthly
No commitment
Rate limit
1,000 requests a minute

Business

Monthly
₹50,000, credited to your wallet
Rate limit
5,000 requests a minute
  • Google’s open Gemma 4 26B A4B, served on our own GPUs in India.
  • Rate limits apply per workspace across all API keys. Shared endpoint · No contractual SLA.
  • Enterprise: Custom volume pricing, rate limits, dedicated endpoint and SLA.
About Gemma 4 26B

Language model · Gemma 4 26B

We serve Google’s Gemma 4 26B on our own GPUs in India.

You build the agent. We run the model, the capacity and the serving.

  1. 01

    Intelligence, efficiently routed

    The 26B A4B architecture activates roughly 4B parameters per token. A mixture of experts, built to use compute selectively.

  2. 02

    Serving, tuned for voice

    We tune precision, batching and decoding around live-call workloads, with first-token latency and sustained throughput in view.

  3. 03

    Responses that can act

    Streaming text and tool calling let the agent respond, look something up or trigger the next step in a conversation.

It runs inside every Voice Infra agent today. To call it on its own, talk to us and we switch it on for your workspace.

Languages

Eight Indian languages are live in speech and in the voice.

Hinglish too, the mix in between.

Hear every language.

One line each, straight from Mira TTS.

Text128 characters

नमस्ते, मैं नेहा बोल रही हूँ। आपका पार्सल कल शाम तक पहुँच जाएगा। अगर उस समय आप घर पर नहीं होंगे, तो बता दीजिए, हम दिन बदल देंगे।

48 kHz · MonoReady when you are

0:00 / 0:09

voice
Neha
language
Hindi
speech
0:09
characters
128

Mira TTS, voice neha, rendered 16 Oct 2026. One request, not edited.

Text128 characters

Hello, मैं समीर, Acme Motors service centre से। आपकी bike की free service इस month due है। Slot book कर दूँ, Saturday या Monday?

48 kHz · MonoReady when you are

0:00 / 0:08

voice
Sameer
language
Hinglish
speech
0:08
characters
128

Mira TTS, voice sameer, rendered 16 Oct 2026. One request, not edited.

Text158 characters

Hi, I am Shruti from Acme Dental Clinic. Your appointment is tomorrow at eleven thirty in the morning. Shall I confirm it, or would you like a different time?

48 kHz · MonoReady when you are

0:00 / 0:08

voice
Shruti
language
English
speech
0:08
characters
158

Mira TTS, voice shruti, rendered 16 Oct 2026. One request, not edited.

Text117 characters

નમસ્તે, હું આશુ બોલું છું. તમારી લોનનો હપ્તો આવતા અઠવાડિયે ભરવાનો છે. તમે કહો તો હું અત્યારે જ ભરવાની રીત સમજાવી દઉં.

48 kHz · MonoReady when you are

0:00 / 0:08

voice
Ashu
language
Gujarati
speech
0:08
characters
117

Mira TTS, voice ashu, rendered 17 Oct 2026. One request, not edited.

Text167 characters

வணக்கம், நான் நேஹா பேசுகிறேன். உங்கள் பார்சல் நாளை மாலைக்குள் வந்து சேரும். அந்த நேரத்தில் நீங்கள் வீட்டில் இல்லையென்றால் சொல்லுங்கள், வேறு நாளுக்கு மாற்றி விடுகிறோம்.

48 kHz · MonoReady when you are

0:00 / 0:10

voice
Neha
language
Tamil
speech
0:10
characters
167

Mira TTS, voice neha, rendered 17 Oct 2026. One request, not edited.

Text114 characters

నమస్కారం, నేను సమీర్ మాట్లాడుతున్నాను. నిన్న మీరు మా కొత్త ఇళ్ళ గురించి అడిగారు. ఇప్పుడు కొంచెం సేపు మాట్లాడవచ్చా?

48 kHz · MonoReady when you are

0:00 / 0:08

voice
Sameer
language
Telugu
speech
0:08
characters
114

Mira TTS, voice sameer, rendered 17 Oct 2026. One request, not edited.

How we ship

We ship voice by measurement, not by vibes.

Three things that happened, and the numbers that made us act.

  1. A regression the ear missed

    38.4%, per-turn pitch spread, against 7.6% shipped

    A new voice release sounded fine on a single line. Pitch analysis measured the speaker drifting turn to turn — 38.4% spread against the shipped model’s 7.6%. We rolled back the same hour.

    Read the engineering note
  2. Six hours of vendor silence

    ~6 hours, dark, no calls dropped

    A GPU provider’s API and console went unreadable. Our fleet controller treats “cloud unreadable” as “leave the node alone”, not “tear it down”, so production kept serving. Customers never knew.

    Read the engineering note
  3. The deploy log is the git log

    Nothing is hand-edited on a live box. What runs is always a commit that exists in history, so “fixed locally, not on the box” stopped being a failure mode we can have.

    Read the engineering note

Questions

Questions people ask about the models.

Which languages do the models speak?

Hindi, Gujarati, Marathi, Bengali, Tamil, Telugu, Kannada and Malayalam are live in Mira TTS and Mira STT, and so is Hinglish. Mira TTS also code-switches between Devanagari Hindi and Roman English in one sentence.

How is text to speech billed?

₹1.80 per 1,000 characters from a prepaid wallet. Pay as you go has 5 concurrent requests; Business has 25, with a ₹50,000 monthly commitment. All prices exclude GST.

How is transcription billed?

₹15 an hour of recorded audio, charged by the second once a job completes. Degraded and failed jobs are free, and a recording can run up to 2 hours. All prices exclude GST.

Can I use the language model on its own?

On request. Gemma 4 26B runs inside every Voice Infra agent, and on its own it is priced by the token. Talk to us and we switch it on for your workspace.

Does it work with the OpenAI SDK?

Mira TTS speaks OpenAI’s POST /v1/audio/speech protocol, so the OpenAI SDKs work with a new base URL and model name. The same key works for the rest of the v2 API.

Still deciding? Ask us.

Fifteen minutes with the team that builds it. Bring your script, or your hardest call.

Book 15 minutes
  1. AI agents: T5 is ₹5 a minute, pay as you go, with our phone line and call insights included. At volume, T1 is ₹1 a minute on ₹1,00,000 a month, and ₹1.50 with our phone line (₹0.30) and call insights (₹0.20). Prices exclude GST.

  2. Models are priced on their own, never at an agent call's rate: text to speech at ₹0.90 a minute connected on the WebSocket or ₹1.80 per 1,000 characters over HTTP, speech to text at ₹0.30 a minute of audio, and the LLM by the token. Monthly commitments are credited to your wallet. Unused credit never expires. The LLM is billed in INR; USD amounts are for reference. All prices exclude GST.

  3. Mira STT on 499 public Hindi phone recordings at 8 kHz, through each company’s own API on 20 October 2026: 18.3% word errors, against 21.6% for Sarvam’s Saaras v4. On clean read Hindi Saaras does better, 5.8% against our 10.1%. The 82 ms is the 80th percentile on 158 Hindi phone clips streamed from India.

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