Add GPT-Live-1 evidence with protocol and backend boundaries
This commit is contained in:
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@@ -718,6 +718,10 @@
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<span><i class="legend-input"></i>首次开口</span
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><span><i class="legend-compute"></i>关键回答开始</span>
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</div>
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<div class="benchmark-missing">
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<strong>GPT-Live-1</strong>
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<span>原始论文尚无该配置的两项时延,补充数据见下方。</span>
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</div>
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<div class="table-wrap">
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<table class="benchmark-table">
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<thead>
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@@ -763,6 +767,14 @@
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<td>78.0%</td>
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<td>19.2%</td>
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</tr>
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<tr class="missing-data-row">
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<th>GPT-Live-1 · 补充配置</th>
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<td>见下方独立报告</td>
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<td>—</td>
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<td>—</td>
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<td>—</td>
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<td>—</td>
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</tr>
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</tbody>
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</table>
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</div>
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@@ -780,6 +792,95 @@
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S2S,本页依据其公开核心的音频到文本结构作两段式定位,TTS
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适配的披露有限。系统级差异需要结合模型能力、话轮和部署配置解释。
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</p>
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<h3 id="gpt-live-data">GPT-Live-1 的补充数据</h3>
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<p>
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GPT-Live-1
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已有官方评测和第三方时延数据。下表按来源、后台配置与统计口径分开列出。FDB-v1
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轮替、FDB-v3 工具任务、受控录音与电话链路各自描述不同的工作条件。
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</p>
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<div class="table-wrap">
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<table>
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<thead>
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<tr>
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<th>来源与配置</th>
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<th>公开数据</th>
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<th>测量口径</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<th>OpenAI API 发布材料<br />GPT-Live-1 + Terra(low)</th>
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<td>
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FDB-v3 工具调用 Pass@1 <strong>87.0%</strong><br />回答质量
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<strong>90.0%</strong>
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</td>
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<td>
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官方另次评测,后台配置见发布正文。与四月论文的历史配置分别呈现。<a
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href="https://openai.com/index/introducing-gpt-live-1-in-the-api/"
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>发布说明 ↗</a
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>
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</td>
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</tr>
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<tr>
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<th>OpenAI 发布图<br />GPT-Live-1</th>
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<td>FDB-v1 轮替时延 <strong>0.798 s</strong></td>
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<td>
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从用户结束话轮到系统开始回答。该项使用 FDB-v1 协议。<a
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href="https://images.ctfassets.net/kftzwdyauwt9/6hFWb3bOFoepzg3aUx2zei/2a18b8d1372ee6c2fa937efa4daccb5f/kix.vqxcgk6pb8ef.png?fm=webp&q=90&w=3840"
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>原始发布图 ↗</a
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>
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</td>
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</tr>
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<tr>
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<th>InteractionBench<br />GPT-Live-1 + gpt-5.5</th>
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<td>轮替回复起始中位数 <strong>1.210 s</strong></td>
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<td>
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30
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道轮替题,统计按论文规则未提前开口的回复。客户端重建时间轴,计入代理网络与缓冲。<a
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href="https://arxiv.org/html/2611.02430v1"
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>表 3、表 5 与附录 H ↗</a
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>
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</td>
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</tr>
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<tr>
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<th>Cekura 电话评测<br />GPT-Live-1 + GPT-6 Sol(low)</th>
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<td>
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延迟 P50 / P90 / P95<br /><strong
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>2.27 / 2.72 / 2.83 s</strong
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>
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</td>
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<td>
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70 场景 × 3,共 210
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通电话。每通先求平均回复延迟,再对这些电话均值取分位数。marin
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声音,服务端轮替检测。<a
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href="https://benchmarks.cekura.ai/speech-to-speech/real-calls/gpt-live"
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>结果 ↗</a
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>
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<a
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href="https://benchmarks.cekura.ai/speech-to-speech/real-calls/methodology"
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>统计方法 ↗</a
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>
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</td>
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</tr>
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<tr>
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<th>OpenAI 模型文档<br />GPT-Live-1 前端语音层</th>
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<td><strong>$0.05 / 分钟</strong></td>
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<td>
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按秒计费。后台模型与工具另计,整机成本需合并核算。检索日为
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2026-11-09。<a
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href="https://developers.openai.com/api/docs/models/gpt-live-1"
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>模型与计费 ↗</a
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>
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</td>
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</tr>
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</tbody>
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</table>
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</div>
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<p class="reading-note">
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本次所查资料尚缺 GPT-Live-1
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在原图同一统计口径下的首音均值与关键回答起始均值,因此原表保留空缺。
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0.798、1.210 和 2.27 秒各有独立条件,不能合并成一个统一时延排名。
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</p>
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</section>
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<section id="higgs" class="article-section">
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@@ -1303,6 +1404,36 @@
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>LiveKit · Pipeline Types</a
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><span>检索日读取。级联、轮次式与持续双工管线的接口说明。</span>
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</li>
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<li id="source-live-launch">
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<a
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href="https://openai.com/index/introducing-gpt-live-1-in-the-api/"
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>OpenAI · GPT-Live-1 API 发布材料</a
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><span
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>2026-09-10。FDB-v3 后台配置与发布图中的工具、回答质量和 FDB-v1
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轮替指标。图表数值经视觉核对。</span
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>
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</li>
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<li id="source-interactionbench">
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<a href="https://arxiv.org/html/2611.02430v1">InteractionBench</a
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><span
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>2026-11-02,v1。表 3、表 5 与附录 H,包含具体 API
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配置、回复起始中位数与时间轴重建条件。</span
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>
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</li>
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<li id="source-cekura">
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<a
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href="https://benchmarks.cekura.ai/speech-to-speech/real-calls/gpt-live"
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>Cekura · GPT-Live-1 电话评测</a
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><span
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>检索日读取。210
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通电话及电话均值的时延分位数,统计定义见其方法页。</span
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>
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</li>
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<li id="source-live-model">
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<a href="https://developers.openai.com/api/docs/models/gpt-live-1"
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>OpenAI · GPT-Live-1 模型文档</a
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><span>检索日读取。前端语音会话计费与后台独立核算边界。</span>
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</li>
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</ol>
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</section>
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<footer class="article-footer">
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