SafetyOnline
AdvBench
Measures whether adversarial suffixes induce aligned language models to produce targeted harmful behavior.
- Task count
- 520
AI Benchmark Index catalogs 273 AI benchmarks with source-linked facts about data, grading, and reported scores.
SafetyOnline
Measures whether adversarial suffixes induce aligned language models to produce targeted harmful behavior.
AgentsOnline
Measures language-model agents across operating systems, databases, games, web shopping, and other interactive environments.
SafetyOnline
Evaluates agent task utility and resistance to prompt injection while agents use tools over untrusted data.
ReasoningOnline
Tests general problem solving with questions from 20 public admission, qualification, and competition exams.
AgentsOnline
Evaluates embodied agents in interactive simulated indoor scenes with object manipulation and navigation.
AgentsOnline
Measures agents that learn high-level policies in text environments and execute the same household goals in embodied worlds.
Choose an AI benchmark by defining the decision first, then checking task fit, grader validity, data access, saturation, and provenance.
Keep an AI benchmark run under $20 by fixing the question, sampling tasks, estimating tokens, using deterministic graders, and saving a reproducible run record.
Playful tasks such as drawing a pelican on a bicycle can expose planning, geometry, tool use, and persistence when their grader makes the signal explicit.
A saturated benchmark no longer separates strong systems well; spot it by score clustering, ceiling effects, stale tasks, and shrinking uncertainty-aware gaps.
Benchmark data may be written, sampled, generated, or drawn from public datasets; its licence determines whether you may download, modify, and redistribute it.
Published by AI Benchmark Index. How we check each benchmark.