Grok Voice 3.0 Speech Model
Run the Grok Voice 3.0 Speech Model in your own stack: lifelike turn-taking, replies in well under a second, and a flat $0.08 per minute API rate.
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Grok Voice 3.0 Speech Model: Engineered for Live Calls
A speech-to-speech engine tuned for real conversations — it resolves most support calls on its own, answers almost instantly, and already runs at Tesla and SpaceX scale.
- Conversations Closed Without a HumanWhere earlier models stalled, this one finishes the call: it resolves a larger share of support conversations unaided and answers fast enough that callers rarely notice a machine.
- Frontier Quality at a Leaner PriceServing it costs less than rival frontier models, and the API stays at the Grok Voice 2.0 rate, so budgets do not jump when you upgrade.
- Proven at Millions of Calls a DayTesla vehicles on the road and SpaceX's Starlink support centers already push millions of conversations through it every day, across several languages.
Deploying the Grok Voice 3.0 Speech Model
From API key to a live voice agent: four steps that walk you through a Grok Voice 3.0 Speech Model rollout.
Core Strengths of the Grok Voice 3.0 Speech Model
Independent benchmarks, natural turn-taking, and lower task costs — the numbers behind a production-ready voice agent.
Ranked First on the Speech-to-Speech Index
Artificial Analysis tested it independently and placed it at the top with 86.9, a blend of speech reasoning, τ-Voice, blind preference votes, and task completion.
97% on Full Duplex Bench
Full Duplex Bench measures how gracefully a model handles turn-taking, pauses, and interruptions — this one scores 97%.
τ-Voice at 71.6% with 40% Less Latency
τ-Voice throws accented speech, noisy rooms, and interruptions at an agent. It matches GPT-Live-1 (Astra) at 71.6% while answering 40% faster.
Cheaper per Completed Task
Artificial Analysis's Big Bench Audio tracks cost at the task level, and this model comes in under both GPT-Live-1 (Astra, Medium) and GPT-Realtime-2.1.
Top EVA-Bench Score for Enterprise
On ServiceNow's EVA-Bench, built for enterprise voice agents, it records the best accuracy at 74% and the strongest combined accuracy-plus-experience result.
Automation That Ships in Call Centers
Starlink support centers take 20,000 inbound calls a day through it in multiple languages; roughly seven in ten resolve without an agent, and a quarter of sales calls convert before hang-up.
Grok Voice 3.0 Speech Model — Common Questions
Quick answers about the Grok Voice 3.0 Speech Model: what it costs, how fast it responds, how it scores, and where it already runs in production.
What exactly is the Grok Voice 3.0 Speech Model?
A speech-to-speech model positioned as the most capable of its generation, designed to finish support conversations that used to need a person, with replies arriving in under a second.
How quickly does it respond?
Replies land in under one second, and τ-Voice comparisons against GPT-Live-1 (Astra) put its latency roughly 40% lower.
How does it score on independent benchmarks?
It ranks first on the Speech-to-Speech Index with 86.9, reaches 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 access is $0.08 per minute, or $4.80 per hour — unchanged from Grok Voice 2.0 — and per-task cost undercuts comparable models.
Does it cope with interruptions and noisy rooms?
It does. Full Duplex Bench, which scores turn-taking and interruption handling, gives it 97%, and τ-Voice deliberately includes accented speech and background noise.
Where does it already run at scale?
Millions of conversations a day flow through it inside Tesla vehicles and Grok Bot's voice mode, and Starlink support centers route 20,000 calls daily through it in several languages.
Ship Your First Voice Agent on Grok Voice 3.0
The Voice Agent API is live at $0.08 per minute. Anything already calling grok-voice-latest upgrades automatically — nothing to reconfigure, nothing to redeploy.