reasoning benchmark
ZebraLogic evaluates large language models' logical reasoning on logic grid puzzles derived from constraint satisfaction problems.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score97.30% | Percentile100.00% | Participants8 | EvidenceC | Evaluated |
| Rank02 | ModelME | Score95.50% | Percentile85.71% | Participants8 | EvidenceC | Evaluated |
| Rank03 | ModelAC | Score95.00% | Percentile71.43% | Participants8 | EvidenceC | Evaluated |
| Rank04 | ModelME | Score89.30% | Percentile57.14% | Participants8 | EvidenceC | Evaluated |
| Rank05 | ModelMA | Score89.00% | Percentile42.86% | Participants8 | EvidenceC | Evaluated |
| Rank06 | ModelMA | Score89.00% | Percentile28.57% | Participants8 | EvidenceC | Evaluated |
| Rank07 | ModelMI | Score86.80% | Percentile14.29% | Participants8 | EvidenceC | Evaluated |
| Rank08 | ModelMI | Score80.10% | Percentile0.00% | Participants8 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading 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.
What ZebraLogic measures and how its scores work.
ZebraLogic is an evaluation framework consisting of 1,000 programmatically generated logic grid puzzles with controllable and quantifiable complexity.
It measures logical reasoning performance using the Score metric, reported as a ratio, on these puzzles.
Scores are shown in ratio. 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 ZebraLogic.
Qwen3 VL 235B A22B Thinking is currently ranked first with 97.30%.
The current leaders are Qwen3 VL 235B A22B Thinking (97.30%), LongCat-Flash-Thinking (95.50%), and Qwen3-235B-A22B-Instruct-2507 (95.00%).
Qwen3-235B-A22B-Instruct-2507 has the lowest matched official input price at $0.70 input / $2.8 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 logical reasoning performance using the Score metric, reported as a ratio, on these puzzles.
Yes. Higher values rank better for this benchmark.
8 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis zebralogic 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
Qwen3 VL 235B A22B Thinking currently leads ZebraLogic with 97.30%. 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.