SpaceXAI’s Grok Voice 3.0 voice-agent model is reported to rank first on Artificial Analysis.
MarkTechPost introduces Grok Voice 3.0, a SpaceXAI voice-agent model that the headline says ranks first on Artificial Analysis. The retrieved page body is cookie-consent text and does not include model size, architecture, weights, or benchmark scores. No security incident is described.
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SpaceXAI just released Grok Voice 3.0. Grok Voice 3.0 is a SpaceXAI speech-to-speech model that listens, reasons, calls tools and speaks. It now ranks first on the Artificial Analysis Speech-to-Speech Index with a score of 86.9. For developers, the endpoint, events and $0.08 per minute price are unchanged from Grok Voice 2.0.
TL;DR
Runs on: SpaceXAI’s hosted Voice Agent API only. No open weights, no local or quantized variants.
Performance: Highest Index score of any model Artificial Analysis currently ranks.
Best: 86.9 on the AA Speech-to-Speech Index, ranked #1.
Worst: 71.6% on τ-Voice, behind GPT-Live-1 (Astra, medium) at 74.5%.
Bottom line:
Best: top composite score at 0.81 s time to first audio.
Worst: not the leader on agentic task resolution or raw speech reasoning.
What is Grok Voice 3.0?
Grok Voice 3.0 is SpaceXAI’s flagship realtime voice model, exposed as
alias already points to it, so existing agents switched automatically.
SpaceXAI has not published parameter counts or architecture details. Reasoning is on by default (
reasoning.effort: "high"
) and can be set to
"none"
for faster turns. Server-side voice activity detection handles barge-in. Tools run inside the session: collections search, web search, X search, remote MCP servers and custom functions.
How does Grok Voice 3.0 perform on benchmarks?
The AA Speech-to-Speech Index is an equal-weighted average of 4 components. Those are Big Bench Audio reasoning, τ-Voice agentic performance, Speech Agent Arena preference and task success rate.
Component results are strong, not uniformly first:
Big Bench Audio: 98.5%, ranked 4th. StepAudio 3 Realtime leads at 99.7%.
Full Duplex Bench: 97.0%, ranked 4th. StepAudio 3 Realtime leads at 98.9%.
Task success rate: 94.8%, up from 94.6% for Grok Voice 2.0.
Speech Agent Arena Elo: 1070, the highest among the 4 models compared here.
τ-Voice: 71.6%, up from 56.5%, but below GPT-Live-1 (Astra, medium) at 74.5%.
ServiceNow’s EVA-Bench scores enterprise voice agents on accuracy and experience. SpaceXAI reports a top accuracy score of 74%.
Is Grok Voice 3.0 fast and cheap?
Artificial Analysis measures 0.81 s time to first audio. GPT-Live-1 (Astra, medium) measures 1.34 s, so SpaceXAI’s “40% lower latency” claim checks out. Grok Voice 2.0 was faster, though, at 0.70 s.
On cost, SpaceXAI cites Artificial Analysis cost per Big Bench Audio task. Grok Voice 3.0 costs $0.025 per task, versus $0.030 for GPT-Live-1 (Astra, medium) and $0.055 for GPT-Realtime-2.1 (High). On AA’s cost per hour of input audio, Gemini 3.8 Live Extended Thinking is cheaper: $3.50 versus $4.80.
List prices are not directly comparable. GPT-Live-1 costs $0.05 per minute, but backend model and tool usage is billed separately. Gemini 3.8 Live bills audio per minute plus text tokens.
How does Grok Voice 3.0 compare to GPT-Live-1 and Gemini 3.8 Live?
Michal Sutter is a data science professional with a Master of Science in Data Science from the University of Padova. With a solid foundation in statistical analysis, machine learning, and data engineering, Michal excels at transforming complex datasets into actionable insights.
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