Basic functionality includes identifying similar words:

model.wv.most_similar(positive=['iphone'], 
                      restrict_vocab=15000)
                 term  similarity
0              android    0.600454
1           smartphone    0.581685
2                  app    0.559129

We can also validate individual analogies using positive and negative contributions accordingly:

model.wv.most_similar(positive=['france', 'london'], 
                      negative=['paris'], 
                      restrict_vocab=15000)

             term  similarity
0  united_kingdom    0.606630
1         germany    0.585644
2     netherlands    0.578868