Grok Voice 3.0 Speech Model
Hear how the Grok Voice 3.0 Speech Model turns talk into action — natural, interruptible replies in under a second and a flat $0.08 per minute.
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Built for Always-On Voice Agents
The Grok Voice 3.0 Speech Model runs voice agents that finish most support tickets unaided, answer in a blink, and hold steady at production scale.
- Top of the Speech-to-Speech ClassIt finishes more support conversations on its own than any prior release, and responds fast enough that callers feel they are speaking with a real person.
- Frontier Smarts, Friendlier BillsServing it costs less than competing frontier models, and API pricing holds steady at the Grok Voice 2.0 rate — no premium for the upgrade.
- Millions of Conversations, Every DayTesla vehicles on the road and SpaceX's Starlink support desks push millions of daily conversations through it, in several languages at once.
How to Deploy the Grok Voice 3.0 Speech Model
Four moves take you from API key to live agents answering real callers.
Where the Grok Voice 3.0 Speech Model Excels
Class-leading accuracy, human-like turn-taking, and a lower bill per task for agents you actually ship.
#1 Rank on the Speech-to-Speech Index
Artificial Analysis ranks it first with 86.9, a blend of speech reasoning, τ-Voice, blind pairwise preference, and task success.
97% on Full Duplex Bench
Full Duplex Bench scores how gracefully a model handles turn-taking, pauses, and interruptions — this one lands at 97%.
71.6% on τ-Voice, 40% Faster Replies
τ-Voice pushes agents through accented speech, noisy rooms, and interruptions; it reaches 71.6%, matching GPT-Live-1 (Astra) while answering 40% quicker.
Cheaper per Completed Task
Cost-per-task figures from Artificial Analysis's Big Bench Audio run put it below both GPT-Live-1 (Astra, Medium) and GPT-Realtime-2.1.
Best EVA-Bench Enterprise Score
On ServiceNow's EVA-Bench for enterprise voice agents it reaches 74% accuracy — the highest recorded — plus the strongest accuracy-and-experience blend.
Call Center Automation in Production
Starlink contact centers route 20,000 inbound calls a day through it in several languages; roughly seven in ten close without a human, and a quarter of sales calls convert before hang-up.
Common Questions About the Grok Voice 3.0 Speech Model
Quick answers on pricing, response speed, benchmark scores, and how teams run it in production.
What exactly is Grok Voice 3.0?
A speech-to-speech engine positioned as the most capable of its generation, designed to finish support conversations that once needed a person, replying in under a second.
How quickly does it respond?
Replies land in under one second, and τ-Voice comparisons against GPT-Live-1 (Astra) show latency around 40% lower.
How does it score on third-party benchmarks?
First place on the Speech-to-Speech Index at 86.9, 97% on Full Duplex Bench, 71.6% on τ-Voice, and 74% on ServiceNow's EVA-Bench.
What does Grok Voice 3.0 cost?
The Voice Agent API is $0.08 per minute, or $4.80 per hour — unchanged from Grok Voice 2.0 — and per-task cost undercuts similar models.
Does it cope with interruptions and background noise?
Yes. Full Duplex Bench, which scores turn-taking and interruption handling, gives it 97%, and τ-Voice covers accented speech and noisy settings.
Where is it already running?
Millions of conversations flow through it daily in Tesla vehicles and Grok Bot's voice mode, and Starlink contact centers route 20,000 calls a day through it across several languages.
Put the Grok Voice 3.0 Speech Model to Work
The Voice Agent API is open at $0.08 per minute, and integrations already on grok-voice-latest switch over automatically — nothing to rebuild.