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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 7, 2026

Published models1
Registry coverage1
MetricScore
EvidenceB

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CruxEval-O leaderboard

Sorted by the source-provided rank. Higher score is better according to the registry.

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1MACodestral-22BMistral AI51.3%100.0%1CAug 7, 2026

CruxEval-O highlights

The top published results on this benchmark's own scale.

Rank #1Codestral-22B51.3%

What is CruxEval-O?

Definition and scoring fields from the benchmark registry.

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. The current registry marks this benchmark as not independently verified with evidence level B.

Family
CruxEval-O
Modality
text
Primary category
reasoning
Score direction
higher
LLMBoard eligible
No
Evaluation key
cruxeval-o|llm-stats-current

Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.

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 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.

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