On Artificial Analysis’s Pronunciation Robustness benchmark, Gemini 3.8 Flash TTS scores 89.5%, ahead of Gemini 3.1 Flash TTS, SpaceXAI TTS, and Gemini 3.8 Flash-Lite TTS. Leadership on individual pronunciation categories is split among several models.
Artificial Analysis lists Gemini 3.8 Flash-Lite TTS at $22.07 per million characters. Both are above Gemini 3.1 Flash TTS and SpaceXAI TTS, and below Eleven v3.
Artificial Analysis says Google has released Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS, Google DeepMind text-to-speech models with preset voices and voice replication. On its tests, Gemini 3.8 Flash TTS scores 89.5% in pronunciation robustness and an Elo of 1,263 on the Provider Voice Arena.
Google for Developers is offering Gemini 3.8 Flash TTS for natural-language voice direction and Gemini 3.8 Flash-Lite TTS for high-volume audio, both through the Gemini API in Google AI Studio.
Beginning September 23, 2026, developers can use both models in Google AI Studio and the Gemini API. Gemini 3.8 Flash TTS is also reaching Gemini Notebook, Gemini 3.8 Flash-Lite TTS is reaching Google Vids, and both are coming soon to Gemini Enterprise.
Google AI is launching two speech models that can create custom voices in more than 100 languages or use more than 2,000 ready-made voices, with conversation direction and line-by-line delivery control.
Google reports a 71.4 overall score and a 60.8 accent-modeling score for Gemini 3.8 Flash TTS on Hume AI Voice Design. It also places Flash TTS first and Gemini 3.8 Flash-Lite TTS second on Hume AI Overall Quality.
Artificial Analysis finds no single open-weight text-to-speech model ahead on all nine new language leaderboards. Leadership is split among Higgs Audio V3 TTS, OpenAudio S1 Mini, Voxtral TTS and Breeze TTS 2.
Artificial Analysis has extended the Controlled Voice Arena with separate text-to-speech leaderboards for Japanese, Mandarin Chinese, Hindi, Spanish, German, French, Portuguese, Vietnamese, and Arabic. Rankings use native-language prompts, standardized cloned voices, and preference votes from first-language speakers.
The multilingual Controlled Voice Arena leaderboards compare text-to-speech models in 9 new languages. A language-selectable leaderboard, a public voting arena, and the benchmarking methodology are available.
No single open-weight text-to-speech model leads all nine languages in Artificial Analysis’s rankings. Higgs Audio V3 TTS, OpenAudio S1 Mini, Voxtral TTS, and Breeze TTS 2 each top the open-weight field in different languages, and each board includes only 2 to 6 open-weight models.
The Controlled Voice Arena now ranks text-to-speech models in Japanese, Mandarin Chinese, Hindi, Spanish, German, French, Portuguese, Vietnamese, and Arabic. Cartesia’s Sonic family leads eight of the nine boards, while Inworld AI’s Realtime TTS-2 ranks first in Mandarin.
