Grok Voice 3.0 Speech Model
Talk to the Grok Voice 3.0 Speech Model and hear natural, interruptible conversation — top-ranked accuracy, near-instant turns, and budget-friendly scaling.
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Inside the Grok Voice 3.0 Speech Model
This speech-to-speech engine was tuned for live conversation — it settles more support cases on its own, responds almost instantly, and already runs at scale across Tesla and SpaceX operations.
- Conversations That Close ThemselvesSupport flows that once needed a person now wrap up with the model handling both sides of the exchange, and the pacing feels human enough that callers rarely notice.
- Frontier Quality at a Friendlier PriceOutput sits at the top of its class while the bill stays below rival frontier models, and the API rate holds steady with the earlier Grok Voice 2.0 release.
- Millions of Calls Every Single DayFrom Tesla vehicles on the road to Starlink contact centers, the engine carries millions of live conversations around the clock.
How to Wire Up Grok Voice 3.0 for Voice Agents
Four short steps carry you from API access to agents answering real callers in production.
Performance Highlights of Grok Voice 3.0
Independent rankings, natural turn-taking, and a lighter bill per completed task for teams shipping production voice agents.
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 head-to-head preference, and task success.
97% on Full Duplex Bench
Full Duplex Bench scores how gracefully a model handles turn-taking, pauses, and being cut off mid-sentence — here it reaches 97%.
Solid τ-Voice Scores, 40% Faster Replies
τ-Voice throws accented speech, crowded rooms, and interruptions at an agent: the model lands 71.6%, matching GPT-Live-1 (Astra) while answering 40% quicker.
Cheaper per Completed Task
Task-level figures from the Big Bench Audio run at Artificial Analysis put it below both GPT-Live-1 (Astra, Medium) and GPT-Realtime-2.1.
Best EVA-Bench Enterprise Accuracy
On ServiceNow's EVA-Bench for enterprise voice agents it posts the highest accuracy at 74%, plus the strongest combined accuracy-and-experience result.
Already Automating Real Call Centers
Starlink contact centers push 20,000 inbound calls a day through it in several languages; roughly seven in ten resolve 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 deploy it in real production settings.
What exactly is Grok Voice 3.0?
A speech-to-speech model positioned as the strongest of its kind — it finishes support conversations that once required a person, and it typically answers before a caller can finish a breath.
How quickly does it respond?
Typical response time stays below one second, and τ-Voice head-to-heads show latency roughly 40% lower than GPT-Live-1 (Astra).
What do independent benchmarks say?
It tops the Speech-to-Speech Index at 86.9, reaches 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 access is eight cents per minute, or $4.80 per hour — unchanged from Grok Voice 2.0 — and task-level cost undercuts comparable models.
Does it cope with interruptions and background noise?
It does. Full Duplex Bench, which grades turn-taking and interruption handling, scores it 97%, while τ-Voice covers accented speakers and noisy rooms.
Where is it running in production today?
Millions of conversations a day flow through it in Tesla vehicles and Grok Bot's voice mode, and Starlink contact centers route 20,000 calls daily through it across several languages.
Put Grok Voice 3.0 to Work in Your Product
The Voice Agent API is open at eight cents a minute, and any integration already pointed at grok-voice-latest upgrades itself — there is nothing to rebuild.