reasoning benchmark
CruxEval-O
CruxEval-O is the output prediction task of the CRUXEval benchmark, designed to evaluate code reasoning, understanding, and execution capabilities. It consists of 800 Python functions (3-13 lines) where models must predict the output given a function and input. The benchmark tests fundamental code execution reasoning abilities and goes beyond simple code generation to assess deeper understanding of program behavior.
Updated Aug 11, 2026
Models1
Model coverage1
MetricScore
EvidenceB
CruxEval-O Ranking
Higher score ranks better on this benchmark.
| 01 | MA | 51.3% | 100.0% | 1 | C |
CruxEval-O Highlights
The leading models and scores on this benchmark.
What is CruxEval-O?
What CruxEval-O measures and how its scores work.
CruxEval-O is the output prediction task of the CRUXEval benchmark, designed to evaluate code reasoning, understanding, and execution capabilities. It consists of 800 Python functions (3-13 lines) where models must predict the output given a function and input. The benchmark tests fundamental code execution reasoning abilities and goes beyond simple code generation to assess deeper understanding of program behavior.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- CruxEval-O
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- cruxeval-o|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about CruxEval-O.
Which model scores highest on CruxEval-O?
Codestral-22B is currently ranked first with 51.3%.
What does CruxEval-O measure?
CruxEval-O is the output prediction task of the CRUXEval benchmark, designed to evaluate code reasoning, understanding, and execution capabilities. It consists of 800 Python functions (3-13 lines) where models must predict the output given a function and input. The benchmark tests fundamental code execution reasoning abilities and goes beyond simple code generation to assess deeper understanding of program behavior.
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.