Text-to-speech AI Models

Models listed

72

Published in this category

Worth weighing up

What goes in and out, licence terms, and whether you can host it yourself

How we treat data

Published specs only — we don't estimate numbers a vendor hasn't stated

Text-to-speech models are a source-backed task collection in this directory. The current editorial inventory contains 33 mapped model records. Task membership is a discovery signal, not a performance ranking, deployment recommendation, or proof that every checkpoint accepts the same inputs and returns the same outputs.

Start with the model list, then open each record that matches your data, operating constraints, and intended workflow. Check the primary source, documented modalities, license, release information, and implementation notes before using a model in production.

This collection keeps unsupported pricing, availability, and benchmark claims blank. Each page remains outside the public index until an editor approves its content and related model records.

Text-to-speech model list

Scan the table below, then open any model for pricing, limits and the full write-up.

72 models
MAI-Voice-2.1
Microsoft
—————
MAI-Voice-2.1-Flash
Microsoft
—————
Gemini 3.8 Flash TTS
Google
17.98.19K———
Gemini 3.8 Flash-Lite TTS
Google
17.98.19K———
Grok Voice TTS 1.0
xAI
—15K———
GPT-Realtime-2.1
OpenAI
67.6128K$4.00$24.00—
Gemini 3.5 Live Translate Preview
Google
39.1131.07K$3.50$21.00—
Gemini 3.1 Flash TTS Preview
Google
32.48.19K$1.00$20.00—
Gemini 3.1 Flash Live Preview
Google
73.7131.07K$0.75$4.50—
Lyria 3 Clip Preview
Google
38.7131.07K$0.00$0.00—
Lyria 3 Pro Preview
Google
34.2131.07K$0.00$0.00—
Voxtral TTS
Mistral AI
13.9————
Gemini 2.5 Flash TTS
Google
23.032.77K$0.50$10.00—
Gemini 2.5 Pro TTS
Google
23.032.77K$1.00$20.00—
Qwen-Omni Turbo
Alibaba
42.132.77K$0.07$0.27—
ai4bharat/indic-parler-tts
ai4bharat
5.0————
audio-cpp/audio.cpp-gguf
audio-cpp
5.0————
bosonai/higgs-tts-2-3b-base
bosonai
5.0————
bosonai/higgs-tts-3-4b
bosonai
5.0————
coqui/XTTS-v2
coqui
5.0————
drbaph/Higgs-Audio-v3-Studio
drbaph
5.0————
facebook/hf-seamless-m4t-medium
facebook
5.0————
facebook/mms-tts-bam
facebook
5.0————
facebook/mms-tts-bod
facebook
5.0————
facebook/mms-tts-eng
facebook
5.0————
fishaudio/s2-pro
fishaudio
5.0————
hexgrad/Kokoro-82M
hexgrad
5.0————
k2-fsa/OmniVoice
k2-fsa
5.0————
kenpath/svara-tts-v1
kenpath
5.0————
kyutai/tts-1.6b-en_fr
kyutai
5.0————
LongCat Next
Meituan LongCat
31.8131.07K———
microsoft/speecht5_tts
Microsoft Research
5.0————
microsoft/VibeVoice-1.5B
Microsoft Research
5.0————
microsoft/VibeVoice-Realtime-0.5B
Microsoft Research
5.0————
Ming Flash Omni 2.0
inclusionAI
20.0————
MiniMax Speech 2.8 HD
MiniMax
5.0————
MiniMax Speech 2.8 TURBO
MiniMax
5.0————
Misha24-10/F5-TTS_RUSSIAN
Misha24-10
5.0————
moonshotai/Kimi-Audio-7B-Instruct
moonshotai
5.0————
myshell-ai/MeloTTS-English
myshell-ai
5.0————
myshell-ai/MeloTTS-Korean
myshell-ai
5.0————
myshell-ai/MeloTTS-Spanish
myshell-ai
5.0————
notmax123/Zonos-Hebrew
notmax123
5.0————
onnx-community/Kokoro-82M-ONNX
onnx-community
5.0————
onnx-community/Kokoro-82M-v1.0-ONNX
onnx-community
5.0————
openbmb/VoxCPM2
openbmb
5.0————
OpenMOSS-Team/MOSS-TTS
OpenMOSS-Team
5.0————
OpenMOSS-Team/MOSS-TTS-Local-Transformer-v1.5
OpenMOSS-Team
5.0————
OpenMOSS-Team/MOSS-TTS-Nano-100M
OpenMOSS-Team
5.0————
OpenMOSS-Team/MOSS-TTS-v1.5
OpenMOSS-Team
5.0————
parler-tts/parler-tts-mini-multilingual-v1.1
parler-tts
5.0————
pnnbao-ump/VieNeu-TTS-v2
pnnbao-ump
5.0————
pnnbao-ump/VieNeu-TTS-v3-Turbo
pnnbao-ump
5.0————
Qwen/Qwen3-TTS-12Hz-0.6B-Base
Qwen
5.0————
Qwen/Qwen3-TTS-12Hz-0.6B-CustomVoice
Qwen
5.0————
Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice
Qwen
5.0————
Qwen/Qwen3-TTS-12Hz-1.7B-VoiceDesign
Qwen
5.0————
Qwen3.8 Omni Flash Realtime
Qwen
25.0————
ResembleAI/chatterbox
ResembleAI
5.0————
Serveurperso/OmniVoice-GGUF
Serveurperso
5.0————

1–60 of 72 models · select a column to sort

About this order: Recommended shows our editorial shortlist first, followed by recent releases. The spec score is a 0–100 figure SyncDev calculates from each vendor's published specifications — context window, reasoning support, input modalities, tool calling, maximum output and how recently the model shipped. It measures breadth of capability, not benchmark performance, so a higher-scoring model is not automatically the better choice for your task.

Text-to-speech model questions

It groups source-backed directory records for research and comparison. Review each model page and its primary documentation because collection membership alone does not prove quality, availability, or suitability.