priors
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Looks borrowed from benchmark sites and products. Themes with a light and a dark version follow your mode.

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Upload a Priors theme file, or have your agent make one: copy the prompt, tell it the look you want, and upload what it returns. With the Priors skill installed it already knows the format.

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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).

5 models · 5 results · data as of 2026-10-29 · github.com ↗

Leaderboard

Chart settings
5 of 5 selected
Opus 5 max

All results

5 rows
#ModelEffortScoreHarness
1Opus 5max23.9%Claude Code
2GPT-5.6 Solxhigh22.0%Codex
3GPT-5.6 Terraxhigh18.0%Codex
4Kimi K3max16.1%OpenCode
5Sonnet 5max14.9%Claude Code