Baidu: ERNIE 4.5 21B A3B ThinkingModel25/100 via “multi-language-translation-and-cross-lingual-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: Uses language-agnostic intermediate representations in reasoning paths, allowing the model to perform reasoning in a language-neutral space before generating output in target language. This enables cross-lingual reasoning without translating intermediate steps, preserving semantic precision.
vs others: Handles cross-lingual reasoning better than translation-only models by maintaining semantic equivalence across language boundaries; however, less specialized than dedicated translation services like DeepL for pure translation tasks