Grok Voice 3.0 Speech Model
Meet Grok Voice 3.0 Speech Model — a speech-to-speech engine that resolves support calls unaided, replies in a blink, and costs less per task.
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A Speech Engine Designed for Live Voice Agents
Grok Voice 3.0 Speech Model turns talk into action — closing more support calls unaided, answering in a blink, and scaling from Tesla to Starlink.
- The Most Capable Speech-to-Speech EngineIt finishes a larger share of customer conversations without a handoff than earlier generations, and its reply speed feels indistinguishable from a person on the line.
- Frontier Capability, Leaner SpendRunning it costs less than competing frontier systems, while Voice Agent API pricing holds steady at the rate set by the previous Grok Voice 2.0 release.
- Millions of Live Exchanges DailyFrom Teslas on the highway to SpaceX Starlink contact centers, it handles millions of conversations every day across several languages.
Putting Grok Voice 3.0 Speech Model to Work
Four practical steps carry you from API key to a live voice agent running in production.
What Grok Voice 3.0 Speech Model Does Best
Benchmark-topping accuracy, human-like turn-taking, and a smaller bill per completed task for voice agents in production.
Ranked First on the Speech-to-Speech Index
Artificial Analysis scored it 86.9 and placed it at the top, blending speech reasoning, τ-Voice, blind head-to-head preference, and task completion.
97% on Full Duplex Bench
The Full Duplex Bench rates how gracefully a model handles turn-taking, pauses, and being cut off mid-sentence — and this engine earns 97%.
τ-Voice at 71.6%, Replies 40% Quicker
Tested on accented speech, crowded rooms, and interruptions, it reaches 71.6% — level with GPT-Live-1 (Astra) while answering 40% faster.
Cheaper per Completed Task
Task-level cost figures from the Big Bench Audio run by Artificial Analysis put it beneath both GPT-Live-1 (Astra, Medium) and GPT-Realtime-2.1.
Best Enterprise Accuracy on EVA-Bench
ServiceNow's EVA-Bench for enterprise voice agents records its 74% accuracy as the highest, paired with the strongest combined accuracy and customer-experience score.
Proven Contact-Center Automation
Starlink contact centers route 20,000 inbound calls a day through it in multiple languages; roughly seven in ten resolve unaided, and a quarter of sales calls convert before hang-up.
Common Questions About Grok Voice 3.0 Speech Model
Quick answers on pricing, response speed, benchmark scores, and real-world deployment for Grok Voice 3.0 Speech Model.
What exactly is Grok Voice 3.0 Speech Model?
It is a speech-to-speech system positioned as the most capable in its class, built to finish support conversations that once required a person, with answers arriving in well under a second.
How quickly does it respond?
Replies typically land in under one second, and τ-Voice comparisons show latency roughly 40% lower than GPT-Live-1 (Astra).
Which benchmarks does it lead?
It tops the Speech-to-Speech Index at 86.9 and records 97% on Full Duplex Bench, 71.6% on τ-Voice, and 74% on ServiceNow's EVA-Bench.
What does it cost to run?
Voice Agent API access is $0.08 per minute, or $4.80 per hour — unchanged from Grok Voice 2.0 — and per-task cost stays below comparable systems.
Does it cope with interruptions and noisy rooms?
It does. Full Duplex Bench, which scores turn-taking and interruption handling, gives it 97%, while τ-Voice covers accented speakers and background noise.
Where is it already running live?
It powers millions of conversations daily inside Tesla vehicles and Grok Bot's voice mode, and Starlink contact centers send 20,000 calls a day through it in several languages.
Deploy Grok Voice 3.0 Speech Model Today
The Voice Agent API is live now at $0.08 per minute; integrations already using grok-voice-latest switch over automatically, with no reconfiguration on your end.