Best audio AI models
21 audio models compared on specs, pricing and community reviews.
- Gemini 2.5 Pro — google: Gemini 2.5 Pro is Google's flagship model with native multimodality and a 1M token context window, featuring built-in 'thinking' for complex reasoning. It leads
- Whisper-1 — openai: Whisper is a general-purpose speech recognition model trained on diverse multilingual audio. It's available open-source and via OpenAI's API. It handles transcr
- Qwen3.8-Omni-Flash — alibaba: Qwen3.8-Omni-Flash is Alibaba's cutting-edge omni-modal AI model designed to seamlessly process text, image, and audio inputs simultaneously. Built specifically
- Deepgram Nova-3 — deepgram: Deepgram's most accurate speech-to-text model, tuned for noisy, multi-speaker enterprise audio. It extends the Nova line's lead in real-time transcription laten
- GPT-4o — openai: GPT-4o is OpenAI's natively multimodal model supporting text, image and audio inputs with fast, low-latency responses. It powers ChatGPT and the API with a 128k
- Gemini 3.8 Flash TTS — google: Google's most expressive Gemini text-to-speech model, built for creative direction with custom voice design and line-by-line acting cues.
- Perceptron Mk1.5 — perceptron: Perceptron's embodied-agent model with native audio, video object tracking and tool use for drones, robots and wearables.
- Gemini 3.8 Flash-Lite TTS — google: A cost-efficient, high-volume variant of Gemini 3.8 TTS for large-scale dubbing and voice agents.
- Gemini 3.8 Live — google: Google's Gemini 3.8 Live represents a major leap in conversational AI, specializing in ultra-low latency audio and speech interactions that mimic natural human
- Phi-4-multimodal — microsoft: Phi-4-multimodal is a 5.6B parameter model that unifies text, image and audio understanding in a single small model with a 128k context window. It's released un
- Eleven Multilingual v2 — elevenlabs: Eleven Multilingual v2 generates lifelike speech across 29+ languages with emotional expressiveness and voice cloning support. It's used broadly for narration,
- Whisper large-v3-turbo — openai: Whisper large-v3-turbo is a pruned decoder version of large-v3 offering significantly faster transcription with minimal accuracy loss. It's released open-source
- Veo 3 — google: Google's Veo 3 is a flagship generative model that seamlessly translates text and image prompts into high-definition video. By incorporating native audio genera
- ElevenLabs v3 — elevenlabs: ElevenLabs v3 is a state-of-the-art audio generation model specializing in high-fidelity text-to-speech and voice cloning. It offers unprecedented control over
- Suno v5 — suno: Suno's most advanced music model, producing clearer audio, more authentic vocals and stronger song structure across full track lengths. It can also remaster old
- Grok Voice Transcribe 2.0 — xai: Grok Voice Transcribe 2.0 is xAI's second-generation speech-to-text model designed specifically to power fast and accurate audio transcription within Grok's voi
- Sora 2 — openai: Sora 2 is OpenAI's cutting-edge text-to-video generator that seamlessly integrates high-fidelity synchronized audio directly into its video outputs. Building up
- GPT-Realtime 2.1 — openai: GPT-Realtime 2.1 by OpenAI represents a major leap in conversational AI, offering native speech-to-speech interaction with extremely low latency. Combining adva
- Qwen-Audio 3.1 Realtime Plus — alibaba: Realtime full-duplex voice model with function calling, voice customization and long-session context.
- Gemini 2.5 Flash — google: Gemini 2.5 Flash balances speed, cost and reasoning quality with a configurable thinking budget. It supports a 1M token context and full multimodal input. It's
- Veo 3.1 — google: Google's Veo 3.1 is a cutting-edge generative AI model that produces high-quality video with native, synchronized audio. Supporting resolutions up to 1080p, it