Tau3-Voice English: 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. Score: pass^1 (%), the unweighted mean of the retail, airline and telecom success rates (banking is not part of the overall). Separate from the text Tau3-Bench boards and from the tau-Voice paper's Clean/Realistic boards. Higher is better.

Metric: Pass^1 (%), mean of retail, airline and telecom. Source: taubench.com. Saturation forecast: Rough model projection: around 2026. 17 models tracked.

Top models

#ModelScoreOverall rank
1Pine Voice 1.087.33
2Phonic 1 (High)83.68
3gpt-live-1-diamond-alpha81.72
4Ava Zero80.42
5Pine Voice Preview75.38
6Grok Voice 1.067.32
7Grok Voice 2.0 (High)62.53
8qwen3.5-omni-plus-realtime53.67
9Gemini 3.1 Flash Live Preview (Thinking, High)43.85
10gpt-realtime-2 (xhigh)42.43

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