Benchmarks

Agentic tool use

Calling functions and MCP tools correctly over many turns, following policies, researching answers with search tools, and running long tasks on its own.

See the ranking

How the score works

A model's score is built only from results that someone other than its maker ran.

  • The scoring set is the benchmarks chosen for this specialty. A benchmark takes part only when at least 5 models have an independent or third-party result on it.
  • Each result is rescaled to 0 to 1, and a model's best setting counts.
  • The score is the average over the benchmarks a model has, times 100.
  • A model ranks only when it has results on enough of them. The rest show "Not enough independent results yet".
  • Self-reported results are shown but never counted.

Method: category-2026-09-29.1

Scoring set and effective set

Scoring set: AutomationBench (and AutomationBench-AA), EnterpriseOps-Gym, MCP-Atlas, τ³-bench (tau3-bench), Toolathlon (Tool Decathlon), BALROG, Deep Research Bench (FutureSearch).

Effective set (used for the score today): BALROG, Deep Research Bench (FutureSearch)

All benchmarks