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Grok Voice 3.0 Speech Model

Build a talking agent on the Grok Voice 3.0 Speech Model and hear it reply in under a second — then watch it close support calls at $0.08 a minute.

Grok Voice 3.0 Speech Model
Turn a short brief into a working voice agent — pick a voice, describe the call, listen back.
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Built to Finish the Call — Grok Voice 3.0 Speech Model

Trained for two-way conversation rather than one-way narration, it greets callers, reasons through requests, and closes tickets — at a fraction of frontier pricing and Tesla-scale volume.

  • Closes More Tickets Without a Handoff
    Where earlier systems stalled and escalated, this one keeps the exchange moving and resolves it end to end — quickly enough that callers rarely notice they are speaking with software.
  • Cutting-Edge Quality, Smaller Bill
    You get top-tier reasoning on the line without top-tier spend, and the API rate holds at the same figure Grok Voice 2.0 carried.
  • Proven at Fleet Scale Every Day
    Tesla drivers and Starlink contact centers push millions of exchanges through it daily, so the model has already met the messiness of real callers.

From API Key to Live Calls in Four Moves

Four short moves take you from sign-up to a voice agent that greets, resolves, and escalates on its own.

Where Grok Voice 3.0 Pulls Ahead

Independent scores, real turn-taking, and a per-task price that undercuts the field — measured, not promised.

Tops the Speech-to-Speech Index

Artificial Analysis ranks it first overall at 86.9, a composite of spoken reasoning, τ-Voice results, blind listener preference, and completed tasks.

97% on Full Duplex Bench

That benchmark scores how gracefully a system yields the floor, waits out a pause, and absorbs an interruption — it returns 97%.

τ-Voice at 71.6%, 40% Faster

Accents, crowded rooms, and mid-sentence cut-ins form the τ-Voice gauntlet; it scores 71.6% — level with GPT-Live-1 (Astra) — while answering 40% quicker.

Cheaper per Finished Task

Big Bench Audio cost figures from Artificial Analysis put it below both GPT-Live-1 (Astra, Medium) and GPT-Realtime-2.1 once a job is done.

Best EVA-Bench Accuracy for Enterprise

ServiceNow's EVA-Bench measures enterprise voice agents; here it reaches 74% accuracy, the highest recorded, and leads the blended accuracy-plus-experience ranking.

Already Running Live Contact Centers

Starlink's support lines pass roughly 20,000 inbound calls a day through it in multiple languages — close to seven in ten resolve unassisted, and one in four sales calls converts before hang-up.

FAQ

Grok Voice 3.0 Speech Model: Common Questions

Quick answers on speed, cost, benchmark scores, and where the model already runs in production.

1

What does Grok Voice 3.0 actually do?

It is a speech-to-speech engine: audio goes in, audio comes out, and the reasoning happens in between. It is designed to carry a support call to completion instead of handing off to a person, answering in well under a second.

2

How quickly does it respond?

Turn latency lands under one second, and τ-Voice head-to-head testing shows roughly 40% less delay than GPT-Live-1 (Astra).

3

Which benchmarks has it been tested on?

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

4

What does it cost to run?

The Voice Agent API bills $0.08 per minute, or $4.80 per hour — unchanged from Grok Voice 2.0 — and per-task cost trails comparable frontier models.

5

Does it cope with noise and interruptions?

Yes. Full Duplex Bench, which scores floor-taking and interruption handling, gives it 97%, while τ-Voice deliberately tests accented speech and crowded rooms.

6

Where is it running today?

Inside Tesla vehicles, in Grok Bot's voice mode, and across Starlink contact centers that route about 20,000 calls a day in several languages.

Put Grok Voice 3.0 Behind Your Phone Line

Billing starts at eight cents a minute, and every endpoint already on grok-voice-latest inherits the upgrade without a single code change.