Benchmarks / Agentic

τ^τ-bench (Hyper-τ), release v1 (Sierra)

A coding agent builds a working customer-service agent from realistic evidence (policies, transcripts, recordings, a client API), and is scored by how well that agent then serves simulated customers on 53 held-out tasks. Maintained by Sierra. Score: Overall: mean reward across all 53 release tasks of the agent the Developer built (τ³-bench inner loop).

5models
–Open Index weight
–last updated

τ^τ-bench (Hyper-τ), release v1 (Sierra)

Higher is better · best effort per model

Chart settings
5 of 5 selected

full table below

#ModelEffortScoreCost / taskHarness
1Opus 5max23.9%–Claude Code
2GPT-5.6 Solxhigh22.0%–Codex
3GPT-5.6 Terraxhigh18.0%–Codex
4Kimi K3max17.9%–OpenCode
5Sonnet 5max14.9%–Claude Code