In statistics which is better large sample size or small sample size?

Generally, the larger the sample the more reliable the results.

Example:

If you flipped a coin twice and got heads both times you could say the coined is biased towards heads.

However, if you repeat the experiment 100 times your results will be a lot more reliable.