Baidu: ERNIE 4.5 21B A3B ThinkingModel25/100 via “code-generation-and-debugging-with-reasoning”
ERNIE-4.5-21B-A3B-Thinking is Baidu's upgraded lightweight MoE model, refined to boost reasoning depth and quality for top-tier performance in logical puzzles, math, science, coding, text generation, and expert-level academic benchmarks.
Unique: Integrates reasoning-based algorithm verification with code generation through A3B branching, allowing the model to explore multiple implementation approaches and select the most algorithmically sound one before generating final code. This differs from pattern-matching-only code generators by explicitly reasoning about correctness.
vs others: Produces more algorithmically correct code than GitHub Copilot for complex algorithmic problems while explaining reasoning; however, less specialized than domain-specific code models and requires more context for optimal results