reasoning benchmark
CruxEval-O Leaderboard
CruxEval-O is the output prediction task of the CRUXEval benchmark, consisting of 800 Python functions of 3–13 lines where models predict the output for a given function and input.
Updated Sep 5, 2026
Models1
Model coverage1
MetricScore
EvidenceB
CruxEval-O Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelMA | Score51.30% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
CruxEval-O Highlights
The leading models and scores on this benchmark.
The Top AI Models for CruxEval-O
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis cruxeval-o AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01MAMistral AI
- Score
- 51.30%
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures CruxEval-O, not total model capability
Selection summary
Best AI Models for CruxEval-O
Codestral-22B currently leads CruxEval-O with 51.30%. 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 CruxEval-O?
What CruxEval-O measures and how its scores work.
CruxEval-O is a reasoning benchmark for predicting the output of Python functions from the function and its input.
It measures code reasoning, understanding, and execution capabilities using a Score reported as a ratio.
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
- overall
LLM Stats. 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 51.30%.
What are the top three models on CruxEval-O?
The current leaders are Codestral-22B (51.30%).
Which CruxEval-O model has the lowest official input price?
No matched official input price is currently available.
Which models are fastest among CruxEval-O results?
No matched runtime record is currently available.
Does the highest score result prove overall model quality?
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.