How to get list of context words in Gensim
The plain model doesn't retain any such co-occurrence statistics from the original corpus. It just has the trained results: vectors per word. 
So, the ranked list of most_similar() vectors – which isn't exactly words that appeared-together, but strongly correlates to that – is the best you'll get from that file. 
Only going back to the original training corpus would give you exactly what you've requested.
How to get most frequent context words from pretrained fasttext model?
For example:
For word 'football' and corpus ["I like playing football with my friends"]
Get list of context words: ['playing', 'with','my','like']
I try to use 
model_wiki = gensim.models.KeyedVectors.load_word2vec_format("wiki.ru.vec")
model.most_similar("блок")
But it's not satisfied for me