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Voice Arena
@voicearena_ai
Independent evals, research and analysis for voice AI. We evaluate models in the conditions they get deployed in, and work with labs to fix what breaks.
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Google DeepMind's Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS take #1# on all seven Voice Arena TTS language boards. @voicearena_ai evaluated both models ahead of today's launch, and the results were phenomenal. Every ranking on Voice Arena comes from blind, head-to-head votes by vetted native speakers, scored with Bradley-Terry Elo. On US English, Flash-Lite takes #1# of 20 at 1087 Elo, 19 points above Cartesia's Sonic-3.6 and inside the statistical band at the top, with Gemini 3.8 Flash at #3# on 1061. Outside US English the two models finish #1# and #2# on five of the six remaining boards, with Gemini 3.1 Flash TTS behind them in third, so Google DeepMind holds the entire top three in Japanese, Arabic, Mexican Spanish, Vietnamese and Brazilian Portuguese. Results backed by thousands of blind, head-to-head listener votes from native speakers across seven languages. Congratulations to @GoogleDeepMind on the release! See below for the exact audio raters judged, what they said, and every leaderboard 🧵
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Cartesia Sonic-3.6 is the #1# TTS model on the Voice Arena US English 🇺🇸 Leaderboard. It debuts at 1085 Elo, in a statistical tie with Google DeepMind's Gemini 3.1 Flash TTS, and ahead of its own Sonic-3.5, Simba 3.2 and Grok TTS. It holds the top spot as a real-time model. Sonic-3.6 is the latest TTS model from @cartesia. The model has been highly preferred among raters on @voicearena_ai. Results backed by 1,400+ blind, head-to-head listener votes across two languages 🧵
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