Model should predict the same value every time for the same input I have used a random forest model for prediction of prices. Should the model be predictable in its behavior? By this, I mean that I'm not changing the model and the input, Will the predicted value always be the same?
Yes, the output is the same for the same input.

The "randomness" just concerns the approach how an ensemble is built: bagging (considering random subset of objects) and random selection of features for splitting (when we create each decision tree and choose which feature would be used as a splitting criteria).