I worked on a project where we compared GloVe embeddings vs. an Embedding layer for one specific NLP classification problem. We got inconclusive results. Briefly, both approaches gave similar error and accuracy results. In the end, we used an Embedding layer because it was simpler to work with (and the extra training time was manageable).