lower execution cost than a full run
as many failures as Random at the same task budget
Estimate your agent’s
success rate.
Uncover its
failures earlier.
TU Delft × JetBrains
LessTasks4Agents is the result of a collaboration between TU Delft and JetBrains, bringing academic research and industrial needs together to make AI agent evaluation more efficient.
Meet the team ↗Broad evidence. Clear comparisons.
Spend less.
Keep your goal in focus.
Two goals. Three budgets. Measured execution costs on Verified and Multilingual.
How to read these results
Costs are median shares of recorded full-suite execution cost; ordering and judging costs are excluded. Performance values are medians across agents, after averaging randomized runs within each agent. Failure uplift is a ratio of these medians, not a mean per-agent improvement. A partial evaluation does not provide full-suite coverage. Winners are retrospective; they are not guaranteed to win on a new benchmark.
Go from evidence
to a task list.
Choose your benchmark, approach, and budget. Download your task subset.
Choose what to run
Compare results. Download task IDs. No account required.
Choose & download a subset ↗See who ranks where
Compare agent rankings at each budget.
Explore agents & rankings ↗Includes all ten benchmark settings. Cost comparisons above cover only Verified and Multilingual. Historical Mid-Range downloads are target-specific; the library asks which target agent you want to evaluate.
Choose your goal.
Then choose your strategy.
Two objectives. Different winning strategies.
How well does this agent perform?
Estimate the success rate of the complete benchmark from a smaller subset of tasks.
Where does this agent fail?
Prioritize tasks that reveal failures early, when only part of the benchmark can be evaluated.
Three steps to a smaller run.
Prioritize tasks. Set a budget. Evaluate.
Choose a benchmark
Compare approaches on your benchmark.
Set your budget
Choose 10%, 20%, or 50% of tasks.
Download & evaluate
Download task IDs as CSV or JSON. Run them in your own harness.
How the study is evaluated
Recorded agent outcomes let us replay task orderings without rerunning the agents. Randomized strategies are averaged within each agent before results are summarized across agents. The dashboard provides the tables and statistical comparisons.
Beyond a single kind of task.
Ten benchmark settings span coding, terminal use, tool interactions, research, and web-based tasks.
USACOProgramming problemsOfficial website ↗
TerminalBench 2.0Terminal tasks2.0 leaderboard ↗τ-benchTAU-bench AirlineTool-use dialogueOfficial repository ↗CORECORE-Bench HardResearch reproductionOfficial repository ↗
GAIAGeneral assistant tasksOfficial dataset ↗Mind2WebOnline-Mind2WebWeb navigationOfficial repository ↗Benchmark settings are not all independent task suites: SWE-bench Mini overlaps with SWE-bench Verified.
Your next run can be smaller.
Choose your benchmark, compare the approaches, and download the task list that fits your goal.
Choose your task subset ↗
