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LLM Stats
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.
Evaluation context and evidence
- Source
- LLM Stats
- Publisher
- Not recorded
- Benchmark release
- Not recorded
- Collected
- 2026-08-17
- Modality
- text
These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.
Original sources
Reported results 8
Shown in source observation order, not ranked. Dates retain the precision provided by the source.
| Model | Value | Unit | Protocol | Reported date and basis | Source |
|---|---|---|---|---|---|
| Qwen3 VL 235B A22B Thinking | 0.973 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |
| LongCat-Flash-Thinking | 0.955 | Not recorded | Not recorded | 2025-09-22 · model_announcement | LLM Stats |
| Qwen3-235B-A22B-Instruct-2507 | 0.95 | Not recorded | Not recorded | 2025-07-22 · model_announcement | LLM Stats |
| LongCat-Flash-Chat | 0.893 | Not recorded | Not recorded | 2025-08-29 · model_announcement | LLM Stats |
| Kimi K2-Instruct-0905 | 0.89 | Not recorded | Not recorded | 2025-09-05 · model_announcement | LLM Stats |
| Kimi K2 Instruct | 0.89 | Not recorded | Not recorded | 2025-07-11 · model_announcement | LLM Stats |
| MiniMax M1 80K | 0.868 | Not recorded | Not recorded | 2025-06-16 · model_announcement | LLM Stats |
| MiniMax M1 40K | 0.801 | Not recorded | Not recorded | 2025-06-16 · model_announcement | LLM Stats |