reasoning benchmark
ZebraLogic
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 7, 2026
Published models8
Registry coverage8
MetricScore
EvidenceB
ZebraLogic leaderboard
Sorted by the source-provided rank. Higher score is better according to the registry.
| 1 | AC | 97.3% | 100.0% | 8 | C | |
| 2 | ME | 95.5% | 85.7% | 8 | C | |
| 3 | AC | 95.0% | 71.4% | 8 | C | |
| 4 | ME | 89.3% | 57.1% | 8 | C | |
| 5 | MA | 89.0% | 42.9% | 8 | C | |
| 6 | MA | 89.0% | 28.6% | 8 | C | |
| 7 | MI | 86.8% | 14.3% | 8 | C | |
| 8 | MI | 80.1% | 0.0% | 8 | C |
Score distribution
Top published rows on the benchmark's original scale.
ZebraLogic highlights
The top published results on this benchmark's own scale.
What is ZebraLogic?
Definition and scoring fields from the benchmark registry.
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. The current registry marks this benchmark as not independently verified with evidence level B.
- Family
- ZebraLogic
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- zebralogic|llm-stats-current
Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.
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 unique published model results are currently shown.
Does this benchmark affect the overall score?
This benchmark is preserved as source-native evidence but is not eligible for the current overall score.