Flight Planning Knowledge
Assesses end-to-end procedural flight planning knowledge, walking through route selection, operational constraints, waypoint sequences, and complete navlog creation.
A benchmark for how frontier language models reason about aviation.
AvBench is an evaluation suite in development for flight planning, charts, aviation concepts, and complex math. It is designed to show capability, uncertainty, and failure modes—not just raw benchmark scores.
AvBench tests whether a model can apply aviation concepts to new scenarios, identify when a critical input is missing, use evidence correctly, and distinguish a dependable answer from a confident but wrong one.
Each task can be evaluated without tools to measure unaided reasoning and with tools to measure how well a model retrieves, interprets, and uses evidence. AvBench is not an operational certification standard and should be understood as a research signal, not a flight-safety judgment.
Assesses end-to-end procedural flight planning knowledge, walking through route selection, operational constraints, waypoint sequences, and complete navlog creation.
Evaluates agentic planning of direct and cross-country flights using provided environmental factors like winds aloft and magnetic variation for precise grading.
Tests the model's ability to audit pre-filled navigation logs and flight plans to catch mathematical, operational, and route-consistency errors.
Examines formula recall and theoretical derivation across engineering principles, atmospheric conditions, and altitude conversions.
Measures multimodal visual understanding, reading graphical performance charts, sectionals, and interpolating points between published values.
Tests data extraction and formulaic calculations derived from textual, tabular, and non-visual flight performance matrices.
Evaluates core aerospace principles, aerodynamics, propulsion mechanics, stability, and atmospheric physics without external retrieval.
Tests quick mental arithmetic, standard unit conversions, rule-of-thumb descent profiles, and basic speed-time-distance relationships.
Assesses multi-step mathematical operations including wind triangle vector resolution, weight and balance moments, and radius of turn calculations.
Tests structural load factors, airframe stress limits, structural formulas, and physical system understanding without search tooling.
Fictional models, generated marks, and illustrative scores. These are not measured results.
Direct, cross-country, and long-range planning with and without tools.
AvBench is currently in production. Contact AeroAI to ask about the benchmark, future methodology updates, or early access opportunities.
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