认识Grok Voice 3.0：SpaceXAI语音代理模型在Artificial Analysis排名第一

SpaceXAI just released Grok Voice 3.0. Grok Voice 3.0 is a SpaceXAI speech-to-speech model that listens, reasons, calls tools and speaks. It now ranks first on the Artificial Analysis Speech-to-Speech Index with a score of 86.9. For developers, the endpoint, events and $0.08 per minute price are unchanged from Grok Voice 2.0. TL;DR Runs on: SpaceXAIs hosted Voice Agent API only. No open weights, no local or quantized variants. Performance: Highest Index score of any model Artificial Analysis currently ranks. Best: 86.9 on the AA Speech-to-Speech Index, ranked #1. Worst: 71.6% on τ-Voice, behind GPT-Live-1 (Astra, medium) at 74.5%. Bottom line: Best: top composite score at 0.81 s time to first audio. Worst: not the leader on agentic task resolution or raw speech reasoning. What is Grok Voice 3.0? Grok Voice 3.0 is SpaceXAIs flagship realtime voice model, exposed as on the WebSocket endpoint. The alias already points to it, so existing agents switched automatically. SpaceXAI has not published parameter counts or architecture details. Reasoning is on by default () and can be set to for faster turns. Server-side voice activity detection handles barge-in. Tools run inside the session: collections search, web search, X search, remote MCP servers and custom functions. How does Grok Voice 3.0 perform on benchmarks? The AA Speech-to-Speech Index is an equal-weighted average of 4 components. Those are Big Bench Audio reasoning, τ-Voice agentic performance, Speech Agent Arena preference and task success rate. Grok Voice 3.0 scores 86.9. GPT-Live-1 (Astra, medium) scores 83.2, Gemini 3.8 Live Extended Thinking 82.6. Grok Voice 2.0 scored 81.3. Component results are strong, not uniformly first: Big Bench Audio: 98.5%, ranked 4th. StepAudio 3 Realtime leads at 99.7%. Full Duplex Bench: 97.0%, ranked 4th. StepAudio 3 Realtime leads at 98.9%. Task success rate: 94.8%, up from 94.6% for Grok Voice 2.0. Speech Agent Arena Elo: 1070, the highest among the 4 models compared here. τ-Voice: 71.6%, up from 56.5%, but below GPT-Live-1 (Astra, medium) at 74.5%. ServiceNows EVA-Bench scores enterprise voice agents on accuracy and experience. SpaceXAI reports a top accuracy score of 74%. Is Grok Voice 3.0 fast and cheap? Artificial Analysis measures 0.81 s time to first audio. GPT-Live-1 (Astra, medium) measures 1.34 s, so SpaceXAIs 40% lower latency claim checks out. Grok Voice 2.0 was faster, though, at 0.70 s. On cost, SpaceXAI cites Artificial Analysis cost per Big Bench Audio task. Grok Voice 3.0 costs $0.025 per task, versus $0.030 for GPT-Live-1 (Astra, medium) and $0.055 for GPT-Realtime-2.1 (High). On AAs cost per hour of input audio, Gemini 3.8 Live Extended Thinking is cheaper: $3.50 versus $4.80. List prices are not directly comparable. GPT-Live-1 costs $0.05 per minute, but backend model and tool usage is billed separately. Gemini 3.8 Live bills audio per minute plus text tokens. Back</button><button class="btn" id="gvNext">Next </button><button class="btn" id="gvPlay">Auto-play</button></div> </div> <div class="pnl" id="p2"> <div class="chips" id="gvChips"></div> <div id="gvBars"></div> <p class="note" id="gvNote"></p> </div> <div class="pnl" id="p3"> <svg viewBox="0 0 640 330" width="100%" role="img" aria-label="τ-Voice success rate versus time to first audio"> <rect x="0" y="0" width="640" height="330" fill="transparent"/> <g stroke="#2a2a2a"> <line x1="70" y1="30" x2="70" y2="280"/><line x1="70" y1="280" x2="610" y2="280"/> <line x1="70" y1="196.7" x2="610" y2="196.7" stroke-dasharray="3 4"/><line x1="70" y1="113.3" x2="610" y2="113.3" stroke-dasharray="3 4"/> <line x1="70" y1="30" x2="610" y2="30" stroke-dasharray="3 4"/> </g> <g fill="#9a9a9a" font-size="11"> <text x="62" y="284" text-anchor="end">50%</text><text x="62" y="201" text-anchor="end">60%</text><text x="62" y="117" text-anchor="end">70%</text><text x="62" y="34" text-anchor="end">80%</text> <text x="70" y="298" text-anchor="middle">0.5 s</text><text x="205" y="298" text-anchor="middle">0.75 s</text><text x="340" y="298" text-anchor="middle">1.0 s</text><text x="475" y="298" text-anchor="middle">1.25 s</text><text x="610" y="298" text-anchor="middle">1.5 s</text> <text x="340" y="320" text-anchor="middle">Time to first audio (lower is faster)</text> <text x="16" y="155" text-anchor="middle" transform="rotate(-90 16 155)">τ-Voice success</text> </g> <text x="84" y="50" fill="#ffffff" font-size="12" font-weight="700"> better</text> <g id="gvDots"></g> </svg> <p class="note">Source: Artificial Analysis, accessed October 14, 2026. Grok Voice 3.0 trails GPT-Live-1 (Astra, medium) by 2.9 points on τ-Voice but reaches first audio 0.53 s sooner.</p> </div> <div class="pnl" id="p4"> <div class="kv"> <div class="k"><b>$0.08/min</b><span>$4.80/hr, same as Grok Voice 2.0</span></div> <div class="k"><b>0.81 s</b><span>time to first audio (AA)</span></div> <div class="k"><b>28</b><span>built-in voices, plus cloning</span></div> <div class="k"><b>20</b><span>listed locales, auto-detected</span></div> <div class="k"><b>5</b><span>tool types: files, web, X, MCP, functions</span></div> <div class="k"><b>SIP</b><span>phone and contact-center routing</span></div> </div> <pre><code>wss://api.x.ai/v1/realtime?model=grok-voice-3.0 {"type": "session.update", "session": { "voice": "eve", "reasoning": {"effort": "high"}, "turn_detection": {"type": "server_vad"}, "tools": [{"type": "web_search"}] }}</code></pre> <p class="note">The <code>grok-voice-latest</code> alias already points to <code>grok-voice-3.0</code>. Pin the versioned name in production. Grok Voice 2.0 is deprecated.</p> </div> <div class="ft"><span>Data: <a href="https://x.ai/news/grok-voice-3" target="_blank" rel="noopener">SpaceXAI</a>, <a href="https://artificialanalysis.ai/speech-to-speech" target="_blank" rel="noopener">Artificial Analysis</a>, <a href="https://docs.x.ai/developers/model-capabilities/audio/speech-to-speech" target="_blank" rel="noopener">SpaceXAI docs</a></span><span class="brand">© Marktechpost</span></div> </div> <script> (function(){ var R=document.getElementById('mtp-gv3'); function post(){try{parent.postMessage({mtpEmbed:'gv3',height:R.offsetHeight+40},'*')}catch(e){}} R.querySelectorAll('.tab').forEach(function(t){t.addEventListener('click',function(){ R.querySelectorAll('.tab').forEach(function(x){x.classList.remove('on')}); R.querySelectorAll('.pnl').forEach(function(x){x.classList.remove('on')}); t.classList.add('on');document.getElementById(t.dataset.p).classList.add('on'); if(t.dataset.p==='p2')drawBars();if(t.dataset.p==='p3')drawDots();setTimeout(post,60);});}); /* wave */ var w=document.getElementById('gvWave');for(var i=0;i<48;i++){var b=document.createElement('i');b.style.animationDelay=(i*0.045)+'s';w.appendChild(b);} /* pipeline */ var S=[ ['Caller speaks','Audio streams over a WebSocket (or SIP for phone calls) as PCM at 8 to 48 kHz, G.711 or Opus.'], ['Turn detection','Server-side voice activity detection decides when the caller has finished, and handles barge-in when they interrupt.'], ['Reasoning','Reasoning is on by default with reasoning.effort set to "high". 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