Grok Voice 3.0 Speech Model
Test the Grok Voice 3.0 Speech Model in your browser: lifelike voice agents that settle most support calls alone and answer in a heartbeat.
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Grok Voice 3.0 Speech Model: A New Bar for Voice AI
An end-to-end audio engine powering always-on voice agents — it settles most support tickets unaided, replies almost instantly, and already runs at Tesla and SpaceX scale.
- Trained to Outperform Every Rival EngineIt wraps up a larger share of customer conversations without a human hand-off than earlier releases, and its answers land fast enough to pass for a real agent on the line.
- Cutting-Edge Quality, Leaner BillsOperating costs sit below those of rival frontier systems, while API rates stay level with the earlier Grok Voice 2.0 launch.
- Proven Across Millions of Calls a DayFrom cars driving on Tesla roads to Starlink support desks, the engine handles millions of live exchanges every single day.
How to Put Grok Voice 3.0 Speech Model to Work
Four quick moves take you from first API call to agents answering real customers.
Grok Voice 3.0 Speech Model Capabilities at a Glance
Class-leading scores, human-like back-and-forth, and thriftier per-task economics for agents running in production.
Ranked First on the Speech-to-Speech Index
Artificial Analysis's independent scoring places it at the top with 86.9, an aggregate of speech reasoning, τ-Voice, blind preference votes and task completion.
97% on Full Duplex Bench
That benchmark measures how gracefully an engine handles turn changes, silences and interruptions — and this one clears it with 97%.
Strong τ-Voice Results, 40% Faster Replies
τ-Voice throws accented speakers, crowded rooms and interruptions at an agent; this engine scores 71.6%, matching GPT-Live-1 (Astra) but answering 40% quicker.
Cheaper per Completed Task
Big Bench Audio cost figures from Artificial Analysis put it below GPT-Live-1 (Astra, Medium) and GPT-Realtime-2.1 on a per-task basis.
Best EVA-Bench Score for Enterprise Use
ServiceNow's EVA-Bench ranks enterprise voice agents; here it delivers 74% accuracy — the best recorded — and the highest blended accuracy-and-experience score.
Already Automating Real Call Centers
Starlink support lines hand it 20,000 incoming calls daily across multiple languages; roughly seven in ten resolve with no agent involved, and a quarter of sales calls convert before the caller hangs up.
Grok Voice 3.0 Speech Model: Questions Answered
Quick answers on cost, response speed, benchmark scores and real-world deployments.
What exactly is the Grok Voice 3.0 Speech Model?
A speech-in, speech-out engine billed as the most capable of its generation. It is built to finish support conversations that once required a person, with turnaround under a second.
How quickly does it respond?
Turnaround stays beneath one second, and τ-Voice side-by-sides show 40% less lag than GPT-Live-1 (Astra).
How does it score on third-party benchmarks?
It tops 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 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 per-task spend remains under that of comparable engines.
Does it cope with interruptions and background noise?
Yes — it earns 97% on Full Duplex Bench, the test for turn-taking and barge-in handling, and τ-Voice covers accented speakers and crowded rooms.
Where is it already running in production?
Millions of exchanges a day flow through it in Tesla cars and Grok Bot's spoken mode, while Starlink support desks route 20,000 multilingual calls through it daily.
Put Grok Voice 3.0 Speech Model Into Production
Voice Agent API access is open now at eight cents a minute, and existing grok-voice-latest integrations switch over automatically with zero rewiring.