Meet Grok Voice 3.0: SpaceXAI Voice Agent Model Ranks #1 on Artificial Analysis

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 grok-voice-3.0 on the /v1/realtime WebSocket endpoint . The grok-voice-latest 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. Grok Voice 3.0 scores 86.9. GPT-Live-1 (Astra, medium) scores 83.2, Gemini 3.8 Live Extended Thinking 82.6. Grok Voice 2.0 scored 81.3. 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. BackNext Auto-play

50%60%70%80% 0.5 s0.75 s1.0 s1.25 s1.5 s Time to first audio (lower is faster) τ-Voice success better

Source: Artificial Analysis, accessed October 14, 2026. Grok Voice 3.0 trails GPT-Live-1 (Astra, medium) by 2.9 points on τ-Voice but reaches first audio 0.53 s sooner.

$0.08/min$4.80/hr, same as Grok Voice 2.0 0.81 stime to first audio (AA) 28built-in voices, plus cloning 20listed locales, auto-detected 5tool types: files, web, X, MCP, functions SIPphone and contact-center routing

wss://api.x.ai/v1/realtime?model=grok-voice-3.0 {"type": "session.update", "session": { "voice": "eve", "reasoning": {"effort": "high"}, "turn_detection": {"type": "server_vad"}, "tools": [{"type": "web_search"}] }}

The grok-voice-latest alias already points to grok-voice-3.0. Pin the versioned name in production. Grok Voice 2.0 is deprecated.

Data: SpaceXAI, Artificial Analysis, SpaceXAI docs© Marktechpost