Even though everyone online says GloVe and word2vec are equivalent but use slightly different methodologies, I believe that GloVe is significantly worse when it comes to rating the distances between two average words.

It might simply be the case that words are either close or far, but GloVe's scores for averagely connected words are much higher than word2vec's it seems, and I don't understand why.

The top 1000 words are good in both cases.

Actually, I haven't tested with word2vec yet, I'm just saying this from my experience comparing my scores to Semantle scores.

Investigating semantic distances has disenchanted Semantle for me because now the results feel like meaningless noise and I don't have faith in the logic behind the lower (non-top 1000) scores.

Early-game feels like guessing rather than trying to reason about what slightly-closer concepts might be.

The difficulties I was experiencing were related to file sizes. I actually do need the 300d embeddings and a large wordlist, the 50d embeddings suck.