Nova 2 Sonic is Amazon's frontier speech-to-speech model, and native Hindi is built into it rather than bolted on. Vomyra runs it on real Indian phone calls in production — one of the first platforms anywhere to do so at scale.
Amazon Nova 2 Sonic is AWS's speech-to-speech model for real-time conversational AI, announced in December 2025 and served through Amazon Bedrock. Rather than transcribing audio, reasoning over text and synthesising a reply, it takes audio in and returns audio out in one pass — preserving tone, pacing and interruption cues that a text transcript throws away, and cutting the latency of every conversational turn.
Hindi has historically been handled by pipelines that transcribe to text, reason in English-centric models and synthesise back — losing code-mixing, prosody and half a second of latency at every hop. Nova 2 Sonic added Hindi as one of its seven natively supported languages, and its voices are polyglot: the model can switch language mid-conversation rather than resetting. That is exactly how Indian callers actually speak, and it is why a Hindi call on Nova 2 Sonic sounds like a conversation rather than a translation relay.
What you get, stated plainly enough to check.
Four steps, none of which involve writing telephony code.
Nova 2 Sonic is a dropdown choice on any Vomyra agent. There is no AWS account to create and no Bedrock quota to request.
The model handles code-mixed instruction and code-mixed callers. Most Indian scripts end up Hinglish and that is fine.
Pair it with an Indian mobile-format number so the pickup rate matches the conversation quality.
Swap between Nova 2 Sonic, GPT Realtime and Azure Voice Live on the same agent and compare on live calls, not benchmarks.
Not English reasoning wrapped in Hindi audio. Hindi is one of the model's seven native languages, with polyglot voices that switch mid-conversation the way real callers do.
Removing the STT and TTS stages removes two network round trips per turn — the single largest source of the pause callers notice.
Vomyra runs Nova 2 Sonic on live Indian calls at production volume. Most platforms are still evaluating it.
Yes, natively. Hindi is one of Nova 2 Sonic's seven supported languages, alongside English, Spanish, French, German, Italian and Portuguese, with both masculine and feminine Hindi voices among its 22 voices. Because it is handled inside the speech-to-speech model rather than through a transcribe-translate-synthesise pipeline, tone and code-mixed Hinglish survive the round trip.
On Vomyra it is a model selection on an agent — pick Nova 2 Sonic, attach an Indian phone number, and the agent is live. There is no AWS account to provision, no Bedrock quota to request and no telephony integration to write.
A classic pipeline runs speech-to-text, then a language model, then text-to-speech — three services and three network hops per turn. Nova 2 Sonic takes audio in and emits audio out in one pass, which cuts latency and preserves prosody, hesitation and emphasis that a transcript discards.
Yes. Enterprise buyers can supply their own AWS credentials and pay Amazon directly for inference, with Vomyra billing only the platform fee. Most customers use the managed option and take a single invoice instead.
Both are frontier speech-to-speech models and both run on Vomyra. Nova 2 Sonic's Hindi handling is its standout strength; GPT Realtime tends to be favoured for tool-calling breadth mid-call. Because you can switch models on the same agent, the practical answer is to test both on your own calls.