Tau3-Voice English Retail: leaderboard

Sierra's τ³-Voice leaderboard (taubench.com), English edition: voice agents (speech-to-speech models, realtime APIs and cascaded speech-to-text/LLM/text-to-speech pipelines) handle τ³-bench customer-service tasks over simulated phone calls, using tools against a domain database, while a simulated customer speaks to them. Standard submissions with the default v1.0 voice user simulator. Retail domain: order, return and exchange requests. Score: pass^1 (%), the share of tasks whose final database state matches the goal. Separate from the text Tau3-Bench boards and from the tau-Voice paper's Clean/Realistic boards. Higher is better.

Metric: Pass^1 (%). Source: taubench.com. Saturation forecast: Rough model projection: around 2026. 17 models tracked.

Top models

#ModelScoreOverall rank
1gpt-live-1-diamond-alpha78.95
2Pine Voice 1.078.76
3Phonic 1 (High)76.32
4Ava Zero75.44
5Pine Voice Preview70.18
6Grok Voice 1.062.28
7Grok Voice 2.0 (High)59.65
8gpt-realtime-2 (xhigh)47.37
9qwen3.5-omni-plus-realtime46.49
10Gemini 3.1 Flash Live Preview (Thinking, High)45.61

Interactive version: theaggregate.ai/benchmark?slug=tau3-voice-english-retail · How It Works · Data refreshed daily, snapshot 2026-11-05.