reasoning benchmark
ZebraLogic Leaderboard
ZebraLogic is an evaluation framework for assessing large language models' logical reasoning capabilities through logic grid puzzles derived from constraint satisfaction problems (CSPs). The benchmark consists of 1,000 programmatically generated puzzles with controllable and quantifiable complexity, revealing a 'curse of complexity' where model accuracy declines significantly as problem complexity grows.
Updated Aug 17, 2026
Models8
Model coverage8
MetricScore
EvidenceB
ZebraLogic Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score97.3% | Percentile100.0% | Participants8 | EvidenceC | Evaluated |
| Rank02 | ModelME | Score95.5% | Percentile85.7% | Participants8 | EvidenceC | Evaluated |
| Rank03 | ModelAC | Score95.0% | Percentile71.4% | Participants8 | EvidenceC | Evaluated |
| Rank04 | ModelME | Score89.3% | Percentile57.1% | Participants8 | EvidenceC | Evaluated |
| Rank05 | ModelMA | Score89.0% | Percentile42.9% | Participants8 | EvidenceC | Evaluated |
| Rank06 | ModelMA | Score89.0% | Percentile28.6% | Participants8 | EvidenceC | Evaluated |
| Rank07 | ModelMI | Score86.8% | Percentile14.3% | Participants8 | EvidenceC | Evaluated |
| Rank08 | ModelMI | Score80.1% | Percentile0.0% | Participants8 | EvidenceC | Evaluated |
ZebraLogic Highlights
The leading models and scores on this benchmark.
ZebraLogic Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for ZebraLogic
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis zebralogic AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01ACQwen3 VL 235B A22B ThinkingAlibaba Cloud / Qwen Team
- Score
- 97.3%
Strengths
- Ranks #1 of 8 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures ZebraLogic, not total model capability
- 02MELongCat-Flash-ThinkingMeituan
- Score
- 95.5%
- Speed
- Up to 100 tok/s via Meituan
Strengths
- Ranks #2 of 8 compared models
- 86th percentile on this benchmark
- C evidence result
Considerations
- This result measures ZebraLogic, not total model capability
- 03ACQwen3-235B-A22B-Instruct-2507Alibaba Cloud / Qwen Team
- Score
- 95.0%
- Price
- $0.70 input / $2.8 output per 1M tokens
- Speed
- Up to 68 tok/s via Fireworks
Strengths
- Ranks #3 of 8 compared models
- 71th percentile on this benchmark
- C evidence result
Considerations
- This result measures ZebraLogic, not total model capability
- 04MELongCat-Flash-ChatMeituan
- Score
- 89.3%
- Speed
- Up to 100 tok/s via Meituan
Strengths
- Ranks #4 of 8 compared models
- 57th percentile on this benchmark
- C evidence result
Considerations
- This result measures ZebraLogic, not total model capability
- 05MAKimi K2 InstructMoonshot AI
- Score
- 89.0%
- Price
- $0.60 input / $2.5 output per 1M tokens
- Speed
- Up to 45 tok/s via Novita
Strengths
- Ranks #5 of 8 compared models
- 43th percentile on this benchmark
- C evidence result
Considerations
- This result measures ZebraLogic, not total model capability
Selection summary
Best AI Models for ZebraLogic
Qwen3 VL 235B A22B Thinking currently leads ZebraLogic with 97.3%. 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 ZebraLogic?
What ZebraLogic measures and how its scores work.
ZebraLogic is an evaluation framework for assessing large language models' logical reasoning capabilities through logic grid puzzles derived from constraint satisfaction problems (CSPs). The benchmark consists of 1,000 programmatically generated puzzles with controllable and quantifiable complexity, revealing a 'curse of complexity' where model accuracy declines significantly as problem complexity grows.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- ZebraLogic
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- zebralogic|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about ZebraLogic.
Which model scores highest on ZebraLogic?
Qwen3 VL 235B A22B Thinking is currently ranked first with 97.3%.
What does ZebraLogic measure?
ZebraLogic is an evaluation framework for assessing large language models' logical reasoning capabilities through logic grid puzzles derived from constraint satisfaction problems (CSPs). The benchmark consists of 1,000 programmatically generated puzzles with controllable and quantifiable complexity, revealing a 'curse of complexity' where model accuracy declines significantly as problem complexity grows.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
8 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.