Word2Vec vs Contextual Embeddings

Word2vec uses transformers while BERT uses shallow neural networks Word2vec assigns one static vector per word; contextual embeddings vary the vector based on surrounding context Word2vec can only handle English; contextual embeddings are multilingual There is no meaningful difference; they produce equivalent representations