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GPT-Live-1 在 Tau3 语音代理客户支持任务中首次尝试完成率 83.6%
OpenAI 开发者账号称，Tau3 测试语音代理在航空、零售和电信场景完成客户支持任务的能力；与中等推理努力的 GPT-6 Astra 配对时，GPT-Live-1 首次尝试完成 83.6% 的任务，而 GPT-Realtime-2.1 为 45.7%，TauBanking 得分未在片段中给出。
AI推荐理由 给出语音代理在 Tau3 客户支持任务上的具体完成率对比（GPT-Live-1 配 GPT-6 Astra 为 83.6%，GPT-Realtime-2.1 为 45.7%），数据点明确且与语音 Agent 落地相关；但正文截断、TauBanking 结果缺失，且未提供完整评测方法。
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For the GPT-Live-1's intelligence, Tau3 tests whether a voice agent can actually complete customer-support tasks across airline, retail, and telecom scenarios.
Paired with GPT-6 Astra at medium reasoning effort, GPT-Live-1 completed 83.6% of tasks on the first attempt, compared with 45.7% for GPT-Realtime-2.1.
The same pairing scored 38.1% on TauBanking, where agents need to find information in banking documents and apply it while using tools to resolve customer requests.
Of course, people chatting with our builds don’t talk in perfectly timed turns.
They pause to think, interrupt with another question, or say “mm-hmm” without expecting you to stop:
• GPT-Live-1 scored 97.3% on Artificial Analysis’s Conversational Dynamics benchmark, which evaluates when to wait, take a turn, respond to an interruption, or keep speaking through a short acknowledgment.
• On Full Duplex Bench v1.5, it scored 80.1% on interactivity across overlapping speech, background voices, side conversations, and interruptions.
• In Full Duplex Bench v1, it began responding 0.798 seconds after the user’s turn ended, compared with 1.41 seconds for GPT-Realtime-2.1. That measures the wait before the reply starts, not how quickly the model speaks.
Getting the task right also means following a request when someone pauses, hesitates, or corrects themselves.
With a backend model handling tool calls, the GPT-Live-1 setup achieved these results on Full Duplex Bench v3:
• 87% tool-calling success for completing the correct sequence of tool calls.
• 90% on the separate response-quality evaluation.
Read more in the launch blog:
openai.com/index/introduc…