safety benchmark
KORABench is an independent, open-source benchmark for child-safety behavior in AI systems.
Updated Oct 23, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelMA | Score1.69 points | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis korabench AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
Mistral Large 4 currently leads KORABench with 1.69 points. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What KORABench measures and how its scores work.
KORABench is a nonprofit benchmark for evaluating AI systems on child-safety behavior.
It measures model behavior against 26 child-specific risks using a Score measured in points.
Scores are shown in points. This benchmark is not independently verified and has an evidence level of B.
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about KORABench.
Mistral Large 4 is currently ranked first with 1.69 points.
The current leaders are Mistral Large 4 (1.69 points).
Mistral Large 4 has the lowest matched official input price at $1.4 input / $4.2 output per 1M tokens.
No matched runtime record is currently available.
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It measures model behavior against 26 child-specific risks using a Score measured in points.
Yes. Higher values rank better for this benchmark.
1 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.