mlsanityData to 14 Oct 2026

APEX-Voice: Can Voice Agents Complete Professional Workflows Through Full-Duplex Interaction

arXiv 2609.34973 ↗First posted 28 Sep 2026cs.AIcited by 0

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Abstract (arXiv)

Full-duplex voice agents can now listen, speak, use tools, and act during spoken interactions, but fluent dialogue does not guarantee correct completion of delegated professional workflows. We introduce APEX-Voice, a benchmark of 120 interactive professional workflows spanning ten work archetypes such as form completion, corporate negotiation, coordination, consulting, and interviewing. Each workflow executes in a stateful Voice Workbench environment with task-specific knowledge, typed tools, gold-annotated final work artifact, authorization constraints, and a user simulation policy backed by validated, pre-compiled speech realizations. We evaluate both artifact field accuracy and end-to-end workflow success, which requires the correct terminal state, valid process, completed actions, and a valid final artifact. Across five frontier real-time voice agents-GPT-Live-1, Gemini-3.8-Live, Grok-Voice-Think-2.0, Step-Audio3, and GPT-realtime-2.1, none exceeds 25% Pass@1, and the best Reliable@3 is only 10.8%. Moreover, stateful coordination is the dominant failure point across systems, while success decreases further on workflows requiring greater knowledge retrieval and mid-speech corrections. Overall, APEX-Voice is the first benchmark for evaluating whether voice agents can translate conversational competence into dependable professional work.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 10 of its 24 references that are in the map. First posted on arXiv 28 Sep 2026.

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References · 10

  1. 2024Moshi: a speech-text foundation model for real-time dialoguecited by 568
  2. 2024TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Taskscited by 326
  3. 2025Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilitiescited by 100
  4. 2026OSWorld 2.0: Benchmarking Computer Use Agents on Long-Horizon Real-World Taskscited by 40
  5. 2026Full-Duplex-Bench-v3: Benchmarking Tool Use for Full-Duplex Voice Agents Under Real-World Disfluencycited by 37
  6. 2026τ-Voice: Benchmarking Full-Duplex Voice Agents on Real-World Domainscited by 36
  7. 2026APEX-Agentscited by 32
  8. 2025FD-Bench: A Full-Duplex Benchmarking Pipeline Designed for Full Duplex Spoken Dialogue Systemscited by 20
  9. 2026DuplexWorld: Can voice agents help you get through the day?cited by 4
  10. 2026StepAudio 3 Realtime Technical Reportcited by 3

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