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math benchmark

CBNSL Leaderboard

CBNSL evaluates algorithms that learn Bayesian network structures from data using curriculum learning techniques.

Updated Sep 5, 2026

Models1
Model coverage1
MetricScore
EvidenceB

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CBNSL Ranking

Higher score ranks better on this benchmark.

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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelMAKimi K2 InstructMoonshot AIScore95.60%Percentile100.00%Participants1EvidenceCEvaluatedSep 8, 2026

CBNSL Highlights

The leading models and scores on this benchmark.

Rank #1Kimi K2 Instruct95.60%

The Top AI Models for CBNSL

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

Ranking basisThis cbnsl AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    MA
    Moonshot AI
    Score
    95.60%

    Strengths

    • Ranks #1 of 1 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures CBNSL, not total model capability

Selection summary

Best AI Models for CBNSL

Kimi K2 Instruct currently leads CBNSL with 95.60%. 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 is CBNSL?

What CBNSL measures and how its scores work.

CBNSL is a benchmark that uses networks from the bnlearn repository to evaluate Bayesian network structure learning algorithms.

It measures structure learning performance using BDeu scoring metrics, reported as a Score ratio.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
CBNSL
Modality
text
Primary category
math
Score direction
higher
LLMBoard eligible
No
Evaluation key
overall

LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about CBNSL.

Which model scores highest on CBNSL?

Kimi K2 Instruct is currently ranked first with 95.60%.

What are the top three models on CBNSL?

The current leaders are Kimi K2 Instruct (95.60%).

Which CBNSL model has the lowest official input price?

No matched official input price is currently available.

Which models are fastest among CBNSL results?

No matched runtime record is currently available.

Does the highest score result prove overall model quality?

No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.

What does CBNSL measure?

It measures structure learning performance using BDeu scoring metrics, reported as a Score ratio.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

1 model results are currently shown.

Does this benchmark affect the overall score?

No. This benchmark is shown for reference but does not contribute to the overall score.

Kimi K2 Instruct
Benchmark rank #1Kimi K2 Instruct95.60%