Promise problems were mainly studied in quantum automata theory. Here we focus on state complexity of classical automata for promise problems. First, it was known that there is a family of unary promise problems solvable by quantum automata by using a single qubit, but the number of states required by corresponding one-way deterministic automata cannot be bounded by a constant. For this family, we show that even two-way nondeterminism does not help to save a single state. By comparing this with the corresponding state complexity of alternating machines, we then get a tight exponential gap between two-way nondeterministic and one-way alternating automata solving unary promise problems. Second, despite of the existing quadratic gap between Las Vegas realtime probabilistic automata and oneway deterministic automata for language recognition, we show that, by turning to promise problems, the tight gap becomes exponential. Last, we show that the situation is different for one-way probabilistic automata with two-sided bounded-error. We present a family of unary promise problems that is very easy for these machines; solvable with only two states, but the number of states in two-way alternating or any simpler automata is not limited by a constant. Moreover, we show that one-way bounded-error probabilistic automata can solve promise problems not solvable at all by any other classical model.We assume the reader is familiar with the basic standard models of finite state automata (see e.g. [19]). For a more detailed exposition related to probabilistic automata, the reader is referred to [31,4]. Here we only recall some models and introduce some elementary notation.By Σ * , we denote the set of strings over an alphabet Σ. The set of strings of length n is denoted by Σ n and the unique string of length zero by ε. By N + , we denote the set of all positive integers. The cardinality of a finite set S is denoted by S .A one-way nondeterministic finite automaton with ε-moves (1 ε nfa, for short) is a quintuple A = (S, Σ, H, s I , S A ), where S is a finite set of states, Σ an input alphabet, s I ∈ S an initial