Meet Grok Voice 3.0: SpaceXAI Voice Agent Model Ranks #1 on Artificial Analysis

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: SpaceXAI’s 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 SpaceXAI’s flagship realtime voice model, exposed as grok-voice-3.0 on the /v1/realtime WebSocket endpoint. The grok-voice-latest alias already points to it, so existing agents switched automatically.

SpaceXAI has not published parameter counts or architecture details. Reasoning is on by default (reasoning.effort: "high") and can be set to "none" 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%.

ServiceNow’s 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 SpaceXAI’s “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 AA’s 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.

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<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>
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<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>
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How does Grok Voice 3.0 compare to GPT-Live-1 and Gemini 3.8 Live?

Feature	Grok Voice 3.0	Grok Voice 2.0	GPT-Live-1 (Astra, medium)	Gemini 3.8 Live Extended Thinking
Developer	SpaceXAI	SpaceXAI	OpenAI	Google
Parameters	Not disclosed	Not disclosed	Not disclosed	Not disclosed
Context length	Not disclosed	Not disclosed	Not disclosed	Not disclosed
Weights	Closed, API only	Closed, deprecated	Closed, API only	Closed, API only
Input / output	Audio, text / audio, text	Audio, text / audio, text	Audio, text / audio, text	Text, image, video, audio / audio, text
AA Speech-to-Speech Index	86.9	81.3	83.2	82.6
Big Bench Audio	98.5%	97.2%	90.1%	97.7%
τ-Voice	71.6%	56.5%	74.5%	68.6%
Full Duplex Bench	97.0%	95.1%	94.9%	91.9%
Task success rate	94.8%	94.6%	87.4%	89.1%
Arena Elo (AA live)	1070	1011	1056	993
Time to first audio	0.81 s	0.70 s	1.34 s	1.35 s
AA cost per hour input audio	$4.80	$4.80	$5.83	$3.50
List price	$0.08/min	$0.08/min	$0.05/min plus backend usage	$0.005/min audio in, $0.018/min audio out, plus text tokens

Benchmark data: Artificial Analysis, accessed October 14, 2026. SpaceXAI’s blog lists frozen Arena Elo values of 1048 (GPT-Live-1) and 990 (Gemini).

How do developers deploy Grok Voice 3.0?

The API is compatible with the OpenAI Realtime API, so migration mostly means a new URL and key.

Transports: WebSocket, WebRTC demo apps, and SIP for phone and contact-center calls.
Audio: PCM at 8 to 48 kHz, G.711 μ-law and A-law, and Opus.
Voices: 28 built-in voices, plus custom voices cloned from a reference clip of up to 120 s.
Languages: 20 listed locales with automatic language detection.
Extensions: force_message for scripted lines, pronunciation replace maps, and 30-minute session resumption.
Compliance: SOC 2 Type II, HIPAA eligible with a BAA, and GDPR. SpaceXAI says audio is not stored or used for training.

Production teams should pin grok-voice-3.0 rather than the alias. Grok Voice 2.0 is now deprecated.

Key Takeaways

Grok Voice 3.0 ranks #1 on the AA Speech-to-Speech Index at 86.9.
It answers in 0.81 s, 40% lower latency than GPT-Live-1 (Astra, medium).
τ-Voice jumped to 71.6%, but GPT-Live-1 still leads at 74.5%.
Price stays at $0.08 per minute, and grok-voice-latest upgraded automatically.
It is API only: no weights, no disclosed size.

Check out the official announcement, the Speech to Speech docs and the Artificial Analysis leaderboard. All credit goes to the researcher of this project. Also, feel free to follow us on Twitter and don’t forget to join our 150k+ML SubReddit and Subscribe to our Newsletter. Wait! are you on telegram? now you can join us on telegram as well.

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