We study the long-range directed polymer model on in a random environment, where the underlying random walk lies in the domain of attraction of an -stable process for some . Similar to the more classic nearest-neighbor directed polymer model, as the inverse temperature increases, the model undergoes a transition from a weak disorder regime to a strong disorder regime. We extend most of the important results known for the nearest-neighbor directed polymer model on to the long-range model on . More precisely, we show that in the entire weak disorder regime, the polymer satisfies an analogue of invariance principle, while in the so-called very strong disorder regime, the polymer end point distribution contains macroscopic atoms and under some mild conditions, the polymer has a super--stable motion. Furthermore, for $\alpha \in (1,2]\beta>0$, and we give explicit bounds on the free energy.

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