Haven't had the opportunity to measure the difference in quality, and I've mostly used word2vec until now (with vectors I've trained myself after lemmatization and PoS-tagging of a corpus), but the fact that GloVe provides you different trained models from twitter, Wikipedia and so on is pretty nice
Glove is great. Simpler and faster with a very small trade off for quality. Word2vec has an advantage in that you can produce document vectors with only a small change in the network infrastructure. Tf-idf weighted word vector averages will probably be the best you can do using glove.
Haven't had the opportunity to measure the difference in quality, and I've mostly used word2vec until now (with vectors I've trained myself after lemmatization and PoS-tagging of a corpus), but the fact that GloVe provides you different trained models from twitter, Wikipedia and so on is pretty nice