Grok Voice 3.0 Speech Model
Try the Grok Voice 3.0 Speech Model free: sub-second replies, record support resolution, and a lower cost per task than any frontier rival.
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What Makes the Grok Voice 3.0 Speech Model Different
Engineered for live voice agents, the Grok Voice 3.0 Speech Model closes more support calls on its own, replies in under a second, and already runs at Tesla and SpaceX scale.
- Ranked the Strongest Speech-to-Speech Engine AvailableIt resolves more support conversations unaided than any earlier release, and answers quickly enough that callers assume a human picked up the line.
- Frontier Quality at a Smaller BillServing it costs less than rival frontier systems, while API pricing holds at the same rate set by the Grok Voice 2.0 launch.
- Millions of Calls Handled Every DayFrom Teslas in traffic to SpaceX's Starlink support desks, this engine carries millions of live conversations around the clock.
How to Put the Grok Voice 3.0 Speech Model to Work
Four short steps carry you from a first API call to a live voice agent powered by the Grok Voice 3.0 Speech Model.
Inside the Grok Voice 3.0 Speech Model
Benchmark-topping accuracy, human-like turn-taking, and a lower bill per task from the Grok Voice 3.0 Speech Model.
First Place on the Speech-to-Speech Index
Artificial Analysis ranks it number one at 86.9, a blend of speech reasoning, τ-Voice, blind preference tests, and task success.
97% on Full Duplex Bench
That benchmark measures turn-taking, pause handling, and interruption recovery — and this model comes away with 97%.
τ-Voice Strength with 40% Less Latency
On τ-Voice — accented speech, noisy rooms, interruptions — it reaches 71.6%, matching GPT-Live-1 (Astra) while answering 40% faster.
Cheaper per Completed Task
Big Bench Audio cost figures from Artificial Analysis put it below both GPT-Live-1 (Astra, Medium) and GPT-Realtime-2.1.
Top Enterprise Accuracy on EVA-Bench
ServiceNow's EVA-Bench for enterprise agents records 74% accuracy here — the best score, and the best accuracy-plus-experience combination.
Call Center Automation at Real Scale
Starlink support desks route 20,000 inbound calls a day through it in multiple languages; roughly seven in ten resolve with no human, and a quarter of sales calls convert before hang-up.
Grok Voice 3.0 Speech Model: Common Questions
Quick answers on pricing, latency, benchmark scores, and real-world deployments for this speech-to-speech model.
What exactly is the Grok Voice 3.0 Speech Model?
It is a speech-to-speech system marketed as the smartest in its class, designed to close support conversations that once needed a person, replying in under a second.
How quickly does it respond?
Replies land in less than one second, and τ-Voice testing shows 40% lower latency than GPT-Live-1 (Astra).
Where does it land on independent benchmarks?
First on the Speech-to-Speech Index at 86.9, plus 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 calls bill at $0.08 a minute, or $4.80 an hour — unchanged from Grok Voice 2.0 — and per-task cost sits under comparable models.
Does it cope with interruptions and noisy rooms?
Yes — Full Duplex Bench scores its turn-taking and interruption handling at 97%, and τ-Voice tests accented speech in noisy settings.
Where is it already running in production?
Millions of conversations a day flow through Tesla vehicles and Grok Bot's voice mode, and Starlink call centers send 20,000 calls daily through it in several languages.
Build Your First Voice Agent on the Grok Voice 3.0 Speech Model
The Voice Agent API is live at $0.08 a minute, and every call already on grok-voice-latest switches over automatically — nothing to reconfigure.