Grok Voice 3.0 Speech Model
Grok Voice 3.0 Speech Model is the smartest speech-to-speech model yet — record support resolution, sub-second latency, and lower cost than frontier rivals.
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Why Choose Grok Voice 3.0 Speech Model
A speech-to-speech model built for real voice agents — record support resolution, sub-second latency, and production scale at Tesla and SpaceX.
- Built as the Smartest Speech-to-Speech ModelGrok Voice 3.0 closes more support conversations on its own than any model before it, and answers fast enough to feel like a live person on the line.
- Frontier Intelligence, Lower CostRunning it is cheaper than other frontier models, and API pricing lands at the same rate as the previous Grok Voice 2.0 release.
- Millions of Daily ConversationsEvery day it carries millions of conversations, from Tesla vehicles on the road to SpaceX's Starlink call centers.
Using Grok Voice 3.0 for Voice Agents
Four steps from API access to live voice agents running on Grok Voice 3.0.
Top Grok Voice 3.0 Speech Model Features
Benchmark-leading accuracy, natural turn-taking, and lower cost per task for production voice agents.
#1 on the Speech-to-Speech Index
Independent testing by Artificial Analysis puts it first with a score of 86.9, blending speech reasoning, τ-Voice, and blind head-to-head preference and task success.
97% Full Duplex Bench Score
Full Duplex Bench, which rates how smoothly a model manages turn-taking, pauses, and being interrupted, gives it 97%.
τ-Voice Performance, 40% Lower Latency
τ-Voice stress-tests agents on accented speech, noisy rooms, and interruptions: it lands at 71.6%, on par with GPT-Live-1 (Astra) while responding 40% faster.
Lower Cost per Task
Task-level cost data from Artificial Analysis's Big Bench Audio run places it beneath both GPT-Live-1 (Astra, Medium) and GPT-Realtime-2.1.
Highest EVA-Bench Enterprise Accuracy
On ServiceNow's EVA-Bench for enterprise voice agents, it posts the top accuracy figure of 74% and the strongest combined accuracy-plus-customer-experience result.
Production Call Center Automation
Across Starlink call centers it fields 20,000 inbound calls a day in several languages; about seven in ten close without a human, and a quarter of sales calls convert before the caller hangs up.
Grok Voice 3.0 Speech Model — FAQ
Short answers on Grok Voice 3.0 pricing, latency, benchmark results, and production use.
What is Grok Voice 3.0?
A speech-to-speech model billed as the smartest of its kind, built to finish support conversations that once needed a human, with replies arriving in under a second.
How fast is Grok Voice 3.0?
Response times sit under one second, and τ-Voice comparisons put it 40% lower in latency than GPT-Live-1 (Astra).
How does it perform on independent benchmarks?
It takes the top Speech-to-Speech Index spot at 86.9, scores 97% on Full Duplex Bench, 71.6% on τ-Voice, and 74% on ServiceNow's EVA-Bench.
How much does Grok Voice 3.0 cost?
The Voice Agent API runs $0.08 per minute or $4.80 per hour — matching Grok Voice 2.0 — while task-level cost stays below comparable models.
Can it handle interruptions and background noise?
Yes. Full Duplex Bench, which measures turn-taking and interruption handling, gives it 97%, and τ-Voice covers accented speech and noisy environments.
Where is Grok Voice 3.0 used in production?
Daily it carries millions of conversations inside Tesla vehicles and Grok Bot's voice mode, and Starlink call centers route 20,000 calls a day through it in several languages.
Start Building with Grok Voice 3.0
The Voice Agent API is live at $0.08 per minute, and anything already pointed at grok-voice-latest moves across on its own — no reconfiguration required.
