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BeelineBench evaluates how efficiently decision models navigate multi-step problems by comparing explored states with a shortest path. It includes heuristic, random and oracle baselines across seven domains. This is a planning benchmark, not a ranking of general assistants or business-triage quality. Its search has a 255-state frontier limit and a 2,500-node stopping limit; provider responses can vary even with fixed trial seeds. The model-run command makes paid requests. Current read the method and limitations but has not reproduced the results.
Primary documentation was read. This is a research note, not a hands-on test or recommendation.
2 recorded checks. These are research observations, not necessarily product changes.
BeelineBench evaluates how efficiently decision models navigate multi-step problems by comparing explored states with a shortest path. It includes heuristic, random and oracle baselines across seven domains. This is a planning benchmark, not a ranking of general assistants or business-triage quality. Its search has a 255-state frontier limit and a 2,500-node stopping limit; provider responses can vary even with fixed trial seeds. The model-run command makes paid requests. Current read the method and limitations but has not reproduced the results.
BeelineBench maintainers · page · Reader-facing explanation checked against the primary page, including the scope and verification limits. No third-party software was executed.
Research from this day →Found on Show HN. Measures search efficiency, with heuristic baselines and a 255-state frontier limitation. Next design an evaluation-reading guide; do not equate scores with business triage quality.
Kyle Pena · page · Read method, heuristic baseline, cost warning and frontier-limit caveat. No benchmark run.
Research from this day →