xAI 发布 Grok Voice 3.0，在 Artificial Analysis 的 Speech-to-Speech Index 以 86.9 分排名第一，超过 GPT-Live-1 的 83.2。τ-Voice 任务成功率从 Grok Voice 2.0 的 56.5% 升至 71.6%，响应速度比 GPT-Live-1 快约 40%，Big Bench Audio 单任务成本 $0.025 低于 GPT-Live-1 的 $0.030。该模型已在 Tesla 内处理每天数百万次对话，支持通过 Connectors 查日历、回邮件，并驱动 Grok Bot 的语音模式。
原文汇总了 Speech-to-Speech Index 排名、τ-Voice 成功率和响应速度等具体数据，可以看清 Grok Voice 3.0 与竞品的差距所在。
Grok Voice 3.0 ranks first on the Speech-to-Speech Index by Artificial Analysis
Grok Voice 3.0 at work inside Tesla. it handles millions of conversations a day in Tesla. Drivers can use Connectors for simple requests like checking their calendar or answering an email, and Grok Bot for bigger tasks like ordering a coffee or booking dinner—all completely hands-free (see it on X). Grok Voice 3.0 also powers Grok Bot’s voice mode.
SpaceXAI launched Grok Voice 3.0 tops Artificial Analysis’s Speech-to-Speech Index at 86.9, beating OpenAI and Google. The index blends spoken reasoning, simulated support calls, blind preference votes and task success, where GPT-Live-1 (Astra, Medium) reaches 83.2. The largest gain comes on τ-Voice, where a simulated caller asks the model to rebook flights or dispute charges using domain tools and a policy document. There, Grok’s success rate jumped from 56.5% under Grok Voice 2.0 to 71.6%. Grok’s edge is speed: it answers 40% sooner than GPT-Live-1, whose 1.34 seconds implies roughly 0.8 seconds, slightly slower than Grok Voice 2.0’s 0.70. Introducing Grok Voice 3.0 +2 It also costs $0.025 per task on Artificial Analysis’s Big Bench Audio run, against $0.030 for GPT-Live-1 and $0.055 for GPT-Realtime-2.1 (High).在 X 查看被引用的帖子
来源：Rohan Paul · x.com