阿里 Qwen-Audio-3.0-TTS-Plus 登顶文本转语音排行榜

阿里巴巴的新文本转语音模型 Qwen-Audio-3.0-TTS-Plus 在 Artificial Analysis 的 Speech Arena 提供商语音排行榜中位居榜首。凭借 1,236 的 Elo 分数，它略高于 Simba 3.2（1,234）。Gemini 3.1 Flash TTS（1,214）和 Sonic 3.5（1,207）紧随其后。

该模型有两个版本。Flash 版本用于实时交互，延迟约 300 毫秒，而 Plus 版本则面向高质量语音输出。它支持 16 种语言，包括较少覆盖的语言，如塔加洛语、马来语、泰语和越南语，以及几种中文方言。用户可以通过自然语言引导说话风格，或使用类似 “[angry]” 或 “[giggles]” 的标签添加非语言提示。阿里巴巴还表示，该模型在克隆语音时比以前的版本更能处理噪声或回声较多的参考录音。

速度是一个弱点：每秒 16 个字符，远远落后于 Sonic 3.5（120）和 Simba 3.2（30.2）。定价为通过阿里云模型工作室每百万字符 27.60 美元：https://www.alibabacloud.com/help/en/model-studio/realtime-tts-user-guide?spm=a2c63.p38356.help-menu-2400256.d_0_3_4_0.2cba607a2xcpQu。音频样本合集可见此处：https://funaudiollm.github.io/qwen-audio-3.0-tts/。广告 DEC_D_Incontent-1 广告

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Alibaba's new text-to-speech model, Qwen-Audio-3.0-TTS-Plus, leads Artificial Analysis' Speech Arena leaderboard for provider voices. With an Elo score of 1,236, it sits just ahead of Simba 3.2 (1,234). Gemini 3.1 Flash TTS (1,214) and Sonic 3.5 (1,207) follow behind.

The model comes in two versions. Flash is built for real-time interaction with about 300 milliseconds of latency, while Plus targets high-quality speech output. It supports 16 languages, including less commonly covered ones like Tagalog, Malay, Thai, and Vietnamese, along with several Chinese dialects. Users can steer the speaking style with natural language or add nonverbal cues using tags like "[angry]" or "[giggles]." Alibaba also says the model handles noisy or echo-heavy reference recordings better than previous versions when cloning voices.

Speed is a weak spot: At 16 characters per second, it trails Sonic 3.5 (120) and Simba 3.2 (30.2) by a wide margin. Pricing lands at $27.60 per million characters through Alibaba Cloud Model Studio：https://www.alibabacloud.com/help/en/model-studio/realtime-tts-user-guide?spm=a2c63.p38356.help-menu-2400256.d_0_3_4_0.2cba607a2xcpQu. A collection of audio samples is available here：https://funaudiollm.github.io/qwen-audio-3.0-tts/. Ad DEC_D_Incontent-1 Ad

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