Solutions / Voice

Deploy real-time voice agents for every use case

Build voice agents that sound natural. Combine the best STT, LLM, and TTS models on co-located infrastructure for ultra-low latency and production-scale reliability.

Why Together AI for Voice Agents

The complete voice stack, built for real-time production use.

One platform for every voice use case

Deploy fast, expressive, multilingual, or cloned models for any use case. Access MiniMax, Rime, Deepgram, OpenAI, Cartesia through a single API. Swap configurations and switch models without rebuilding integrations.

Ultra-low latency conversations

Sub-second STT-to-TTS latency, built into the infrastructure. The entire pipeline runs co-located, keeping end-to-end latency under 500ms for conversations that feel instant.

Scales without breaking

Autoscale dynamically to thousands of concurrent calls across 25+ global regions. Dedicated GPU endpoints with a 99.9% uptime SLA keep traffic spikes running on pre-warmed capacity, every time.

The complete voice model library

Open-source and proprietary models across the full voice pipeline, on one platform. Switch between models optimized for emotion, pronunciation, code-switching, or cloning — with minimal code changes.

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MiniMax Speech 2.6 Turbo

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Cartesia Sonic-3

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Transcribe

Deepgram Flux

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Whisper Large v3

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Deepgram Aura-2

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Deepgram Nova-3

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Deepgram Nova-3 Multilingual

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NVIDIA Parakeet TDT 0.6B v3

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Arcana V3 Turbo

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Orpheus TTS

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Kokoro-82M TTS

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Qwen3-Next-80B-A3B-Instruct

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gpt-oss-20B

Trusted by teams building voice at scale

  • cost reduction

  • <400ms

    p95 model latency

  • Weekly

    model deployments

"Low latency is especially important for voice because there’s a much higher UX bar. Together helped us push latency down by optimizing our models with techniques like speculative decoding, and they’ve been a reliable production partner — proactive about risks and fast when issues come up."

Max Lu

Head of Research, Decagon