ElevenLabs 发布 Eleven v4，登顶 Artificial Analysis 语音合成榜
ElevenLabs 新的 Eleven v4 拿了语音合成榜第一，支持 90 多种语言，发音准确率 91.7%，就是价格比 Google 贵不少。
ElevenLabs 的 Eleven v4 在 Artificial Analysis Provider Voice TTS Arena 以 Elo 1,319 排名第一，超过 Cartesia 的 Sonic 3.6（1,276）和 Google 的 Gemini 3.8 Flash TTS（1,267）。在 Pronunciation Robustness 基准上，Eleven v4 得分 91.7%，高于 Gemini 3.8 Flash TTS 的 89.5%，也高于 Eleven v3 的 85.6%。语言支持从 Eleven v3 的 70+ 种扩展到 90+ 种，生成速度从 42.5 字符/秒提升到 73.4 字符/秒。价格方面，Eleven v4 为 $80/百万字符，高于 Sonic 3.6 的 $49 和 Gemini 3.8 Flash TTS 的 $16.49。在 Controlled Voice 榜单上，Eleven v4 以 Elo 1,157 排名第二，落后于阿里巴巴的 Qwen-Audio-3.1-TTS-Plus（1,178）。
ElevenLabs’ Eleven v4 takes #1 on the Artificial Analysis Provider Voice TTS Arena Leaderboard and Pronunciation Robustness benchmark, and #2 on Controlled Voice, surpassing Cartesia’s Sonic 3.6 and Google’s Gemini 3.8 Flash TTS on Provider Voice
Eleven v4 is the latest Text to Speech model from @ElevenLabs, with support for 90+ languages, up from 70+ for Eleven v3.
Key takeaways:
➤ Provider Voice: Eleven v4 takes #1 with an Elo of 1,319 (+19/-19) across 1,674 appearances, ahead of Cartesia’s Sonic 3.6 at 1,276 and Google’s Gemini 3.8 Flash TTS at 1,267. It ranks #1 across all four categories: Customer Service, Assistants, Knowledge Sharing and Entertainment.
➤ Controlled Voice (every model uses the same custom voice for comparison): Eleven v4 ranks #2 with an Elo of 1,157 (+16/-16) across 1,483 appearances, just behind Alibaba’s Qwen-Audio-3.1-TTS-Plus at 1,178 and well ahead of Eleven v3 at 1,073.
➤ Pronunciation Robustness: Eleven v4 scores 91.7%, the highest score we have measured, ahead of Gemini 3.8 Flash TTS at 89.5% and Gemini 3.1 Flash TTS at 88.2%, and up from Eleven v3 at 85.6%.
➤ Cost: Eleven v4 costs $80/1M characters, compared to $49/1M characters for Sonic 3.6 and $16.49/1M characters for Gemini 3.8 Flash TTS.
➤ Speed: Eleven v4 processes 73.4 characters per second of generation time, compared to 42.5 characters per second for Eleven v3.
Congratulations to @elevenlabsio on the release!
See more details and listen to samples below 🧵
