Grok Voice 3.0 Speech Model
Meet the Grok Voice 3.0 Speech Model: near-instant spoken replies, human-like turn-taking, and budget-friendly scaling for live voice agents.
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What Sets the Grok Voice 3.0 Speech Model Apart
A speech engine engineered for live voice agents — top-ranked conversation handling, replies in well under a second, and the scale behind Tesla and SpaceX deployments.
- Top-Ranked Speech-to-Speech EngineIt resolves more support conversations unaided than earlier models, and its reply speed makes callers feel like they are talking to a real person.
- Cutting-Edge Quality, Friendlier BudgetOperating it costs less than rival frontier systems, and the API rate holds steady at the same figure introduced with the previous release.
- Proven at Massive ScaleEach day it powers millions of conversations — inside Tesla vehicles on the road and across SpaceX's Starlink support centers.
How to Launch Voice Agents on Grok Voice 3.0
Four practical steps that take you from API access to live voice agents powered by the Grok Voice 3.0 Speech Model.
Standout Capabilities of the Grok Voice 3.0 Speech Model
Benchmark-topping accuracy, lifelike back-and-forth conversation, and reduced cost per task for production-grade voice agents.
First Place on the Speech-to-Speech Index
Artificial Analysis, an independent evaluator, ranks it number one at 86.9, combining speech reasoning, τ-Voice, and blind head-to-head preference with task success.
97% on Full Duplex Bench
Full Duplex Bench measures how gracefully a model handles turn-taking, pauses, and interruptions — and this one scores 97%.
Strong τ-Voice Results, 40% Less Latency
τ-Voice pushes agents through accented speech, crowded rooms, and interruptions: it reaches 71.6%, matching GPT-Live-1 (Astra) while answering 40% faster.
Cheaper per Completed Task
Task-level figures from the Big Bench Audio run by Artificial Analysis put it below both GPT-Live-1 (Astra, Medium) and GPT-Realtime-2.1.
Best Enterprise Accuracy on EVA-Bench
On ServiceNow's EVA-Bench for enterprise voice agents, it records the highest accuracy at 74% along with the strongest combined accuracy and customer-experience score.
Call Center Automation in Production
Starlink contact centers route 20,000 inbound calls a day through it in multiple languages; roughly seven in ten close without a human, and a quarter of sales calls convert before hang-up.
Grok Voice 3.0 Speech Model — Your Questions Answered
Quick answers about the Grok Voice 3.0 Speech Model: pricing, response speed, benchmark scores, and real-world deployment.
What exactly is the Grok Voice 3.0 Speech Model?
It is a speech-to-speech system positioned as the most capable in its class, designed to complete support conversations that previously required a person, replying in under a second.
How quickly does it respond?
Replies arrive in less than one second, and τ-Voice comparisons show latency 40% lower than GPT-Live-1 (Astra).
What do independent benchmarks show?
It ranks first on the Speech-to-Speech Index with 86.9, earns 97% on Full Duplex Bench, 71.6% on τ-Voice, and 74% on ServiceNow's EVA-Bench.
What does the Grok Voice 3.0 Speech Model cost?
Voice Agent API usage is $0.08 per minute, or $4.80 per hour — unchanged from Grok Voice 2.0 — and per-task cost remains below comparable models.
Does it cope with interruptions and noisy rooms?
It does. Full Duplex Bench, which tests turn-taking and interruption handling, scores it at 97%, while τ-Voice covers accented speech and loud environments.
Where is it already running in production?
It handles millions of conversations daily in Tesla vehicles and Grok Bot's voice mode, and Starlink contact centers send 20,000 calls a day through it in several languages.
Put the Grok Voice 3.0 Speech Model to Work
The Voice Agent API is available now at $0.08 per minute, and any integration already on grok-voice-latest switches over automatically — nothing to rebuild.