how do the melogit and logit handle missing data? why do the results show different # of observations, despite same vars?

I am trying to understand why two models with the same variables report different number of observations, despite using the same DVs and IVs. Is this due to how the models handle missing data?

I am running two models. One model is estimated using a mixed-effect logit (command: melogit). The other is estimated using a logit (command: logit). The variables are exactly the same for both models. Can someone help me understand why the melogit output table reports more observations than the logit output table? Thank you.

Using Stata 15.1.

Code:

melogit dv iv1 iv2 iv3 || ccode: , vce(robust) or

Code:

logit dv iv1 iv2 iv3, vce(robust) or

The melogit model reports number of observations: 86,247
The logit model reports number of observations: 84,921

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