Grok Voice 3.0 Speech Model

Meet the Grok Voice 3.0 speech model: self-serve call resolution, sub-second replies, and lower task cost than frontier rivals.

Grok Voice 3.0 Voice Agent
Create real-time speech-to-speech agents through the Voice Agent API
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What Sets Grok Voice 3.0 Apart for Live Calls

This speech-to-speech engine is tuned for real voice agents: it closes more support tickets unaided, answers almost instantly, and scales from pilot to production.

  • Designed to Resolve Calls, Not Just Talk
    More support conversations reach resolution without a human handoff, while replies arrive quickly enough to feel like a natural phone call.
  • Frontier Capability at a Leaner Price
    Task-level spend stays below competing frontier systems, and API access keeps the same per-minute rate introduced with the prior release.
  • Proven Across Millions of Daily Calls
    The model already powers daily conversations in Tesla vehicles and handles high-volume contact-center traffic across Starlink operations.

How to Launch Voice Agents on Grok Voice 3.0

Follow four practical steps to move from API access to live, production-ready voice agents.

Standout Capabilities of Grok Voice 3.0

Independent benchmarks, natural conversation flow, and efficient task economics make it a strong fit for production voice agents.

Top Score on the Speech-to-Speech Index

Artificial Analysis ranks it first at 86.9, combining speech reasoning, τ-Voice results, blind preference tests, and task success.

97% on Full Duplex Bench

The Full Duplex Bench score reflects smooth turn-taking, natural pauses, and reliable handling of interruptions.

τ-Voice Results with 40% Less Latency

It scores 71.6% on τ-Voice stress tests covering accents, background noise, and interruptions—matching GPT-Live-1 (Astra) while replying 40% faster.

Efficient Cost per Completed Task

Artificial Analysis's Big Bench Audio task-cost figures put it below GPT-Live-1 (Astra, Medium) and GPT-Realtime-2.1.

Leading Enterprise Accuracy on EVA-Bench

On ServiceNow's EVA-Bench, it reaches 74% accuracy and delivers the best combined accuracy-plus-customer-experience result.

Contact-Center Automation at Scale

Starlink call centers use it for 20,000 inbound calls daily in multiple languages; roughly 70% resolve without a human, and a quarter of sales calls convert before hang-up.

FAQ

Grok Voice 3.0 Questions, Answered

Clear answers on pricing, speed, benchmark performance, and real-world deployment for this speech-to-speech model.

1

What is Grok Voice 3.0?

It is a speech-to-speech model positioned as the most capable in its class, built to complete support conversations that previously required a person, with replies in under a second.

2

How quickly does Grok Voice 3.0 respond?

Typical responses arrive in less than one second; τ-Voice comparisons show 40% lower latency than GPT-Live-1 (Astra).

3

Which independent benchmarks does it lead?

It ranks first on the Speech-to-Speech Index at 86.9, scores 97% on Full Duplex Bench, 71.6% on τ-Voice, and 74% on ServiceNow's EVA-Bench.

4

What does Grok Voice 3.0 cost?

Voice Agent API access is $0.08 per minute or $4.80 per hour—unchanged from Grok Voice 2.0—while task-level cost remains below comparable models.

5

Does it handle interruptions and noisy rooms?

Yes. Full Duplex Bench, which tests turn-taking and interruption recovery, gives it 97%, and τ-Voice evaluates accented speech and noisy environments.

6

Where is Grok Voice 3.0 already in use?

It supports millions of daily conversations in Tesla vehicles and Grok Bot's voice mode, while Starlink call centers route 20,000 calls per day through it in several languages.

Put Grok Voice 3.0 to Work

The Voice Agent API is available now at $0.08 per minute; existing grok-voice-latest integrations switch over automatically with no reconfiguration.