Select more or less features if results are almost the same
It is very contextual. There's a rule that feeding all the data will yield better (unbiased) results but not at all times. If you know anything about the data, then it is always advised to remove the most obvious ones that won't matter. Additionally, you can use other metrics like 'P-Value' to check the variable significance. 

Since there's more data that will be added in the future, I'd rather wait for it and then remove the insignificant variables.