{"benchmark_id":"cruxeval-o","benchmark_name":"CruxEval-O","benchmark_description":"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.","max_score":1.0,"categories":["reasoning"],"modality":"text","total_models":1,"entries":[{"rank":1,"model_id":"codestral-22b","model_name":"Codestral-22B","organization_name":"Mistral AI","organization_id":"mistral","benchmark_score":0.513,"normalized_score":0.513,"verified":false,"self_reported":true,"provider_id":null,"input_cost_per_million":null,"output_cost_per_million":null,"speed_rps":null,"context_window":null,"release_date":"2024-05-29","announcement_date":"2024-05-29","multimodal":false,"param_count":22200000000,"is_new":false}]}