Amazon Nova 2 Sonic
Nova 2 Sonic is Amazon’s real-time speech-to-speech model designed to deliver natural, flowing voice interactions without relying on separate systems for text and audio. It combines speech recognition, speech generation, and text processing in a single model, enabling smooth, human-like conversations that can shift effortlessly between voice and text. With expanded multilingual support and expressive voice options, it produces responses that sound more lifelike and contextually aware. Its one-million-token context window allows for long, continuous interactions without losing track of prior details. It supports asynchronous task handling, meaning users can continue speaking, change topics, or ask follow-up questions while background tasks, such as searching for information or completing a request, continue uninterrupted. This makes voice experiences feel more fluid and less bound by traditional turn-based dialog constraints.
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Gemini 3.8 Live
Gemini 3.8 Live is Google DeepMind’s real-time speech-to-speech AI model for building conversational voice applications and interactive agents. The model can maintain natural dialogue while reasoning, using tools, and carrying out tasks during an ongoing conversation. Asynchronous function calling allows applications to execute API and tool requests in the background while Gemini continues streaming audio responses to the user. Gemini 3.8 Live can also incorporate live visual context, enabling agents to respond based on what users say and what the system can see. It supports more than 97 languages, maintains accent consistency, and is designed to accurately interpret alphanumeric information such as confirmation codes, claim numbers, and technical data. Gemini 3.8 Live is available through the Gemini Live API and Google AI Studio for developers building customer service agents, assistants, training applications, and other voice-first experiences.
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Higgs Realtime
Higgs Realtime is a production-quality, real-time speech-to-speech model and API built for natural, continuous conversation. It is an end-to-end, instruction-tuned, audio-native model that can understand audio, text, or both and generate high-quality responses, while also functioning as a text LLM when given text alone. Designed for live voice agents, it follows conversations, handles interruptions, adapts when requests change mid-sentence, and carries multi-step workflows through to completion. The model is trained specifically for voice-agent reflexes such as natural turn-taking, conversational cadence, tone adaptation, spoken tool preambles, multi-turn state tracking, and robust instruction following through changing requests. Semantic turn detection helps distinguish a completed turn from a pause, while multilingual and code-switched understanding supports more than 100 languages without per-language setup.
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Grok Voice Think Fast 2.0
Grok Voice Think Fast 2.0 is xAI’s flagship voice model for building real-time assistants, phone agents, and interactive voice systems that stream audio and text bidirectionally over WebSocket. Developers can configure system instructions, high or no reasoning effort, built-in or custom voices, automatic server-side voice activity detection, silence duration, idle re-engagement, playback speed, and session resumption after temporary disconnects. It accepts PCM, G.711 μ-law, G.711 A-law, and Opus audio through JSON or raw binary frames, with configurable PCM sample rates from telephone quality to 48 kHz. It supports more than 20 languages with native-quality accents, automatic language detection, natural responses in the speaker’s language, and seamless code-switching. Language hints and up to 100 key terms improve transcription of regional speech, names, products, codes, addresses, and specialized terminology, while pronunciation replacements correct spoken output.
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