Code Generation And Execution Verification

Alibaba's 32B reasoning model with chain-of-thought.

Unique: Trained with outcome-based rewards using code execution servers that run actual test cases against generated code, enabling the model to learn from execution feedback rather than relying on human-annotated code traces — this execution-driven approach ensures generated code passes test cases

vs others: Combines code generation with automatic test verification through execution feedback, producing code that is guaranteed to pass test cases rather than syntactically-correct but functionally-incorrect solutions, with performance on LiveCodeBench competitive with much larger models