Agent configuration · τ²-bench Core

τ² standard agent · Gemini 3 Flash Preview · high

The ranked object: model, scaffold, tools, permissions, budget, and environment together.

Average Pass¹83.49%
Cost per successful taskNot published
Published result rangeNot published

01

Configuration

Agent systemτ² standard agent · Gemini 3 Flash Preview · high
Base modelGemini 3 Flash Preview
Source model ID or labelGemini 3 Flash Preview · high
Scaffoldτ² standard agent
Scaffold versionv1.0.1
ToolsStandard retail, airline, and telecom domain tools
EnvironmentStandard agent and domain tools with a shared GPT-5.2 low-reasoning user simulator
Budget4 trials per task · 1,112 trajectories per configuration

02

Outcome

Average Pass¹83.49%
Partial scoreNot published
Cost per successful taskNot published
Reported benchmark costNot reported
Median completion timeNot published
Human interventionNot published

03

Operation

Repeat-run evidence4 runs
Published result rangeNot published
Safety noteNot published
Comparability grouptau2-v1-0-1-base-standard-gpt-5-2-low-4-trials
Evaluation date
Data captured

04

Trust

EvidenceListed by the benchmark publisher
SourceSierra Research · τ²-bench
Source snapshotv1.0.1 · standard agent · GPT-5.2 low user simulator · 4 trials · Jul 30, 2026
Last checkedJul 30, 2026
Tasks278 base tasks across retail, airline, and telecom
Evidence levelPublisher maintained
Evidence note

Only eight publisher-submitted rows with the same v1.0.1 benchmark, standard scaffold and tools, user simulator, base task splits, and four-trial protocol are included. Other τ-bench rows stay outside this scope.

Open audit

What this result does not prove

This result applies to the exact system and source conditions shown here. It does not establish a universal best agent, production reliability, data governance, or performance on a different benchmark version.

Compare like with like

Only configurations from the same benchmark version and task scope can be placed in one comparison.

Source-reported data; missing values remain unknown.

Validate before adoption

Public rankings create a shortlist. A small private trial decides whether the configuration fits your work.

  1. 1

    Choose 10–20 representative tasks and define a clear pass condition.

  2. 2

    Lock the agent, model, tools, permissions, and budget before testing.

  3. 3

    Run each important task more than once; record success, cost, time, and takeovers.

  4. 4

    Review failures and data-handling risks before a production decision.

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