Magnetic nanoparticles have been widely applied in many different fields such as imaging, medicine, and separation. 1,2 Microscopic understanding of behaviors of magnetic nanoparticles under the magnetic field is requisite for the enhancement of their applicability in those fields. In the previous works, 3 we have reported the agglomeration dynamics of magnetic nanoparticles in the ferrofluid under the magnetic field studied by measuring temporal changes of magnetic weight. The magnetic weight is a magnetic force that magnetic samples experience under the magnetic field gradient. The magnetization of the superparamagnetic ferrofluid grows with the agglomeration of nanoparticles and consequently the magnetic weight increases. The growth of the magnetic weight W(t) fits well with the stretched exponential as followingwhere τ is the relaxation time and 0 < β < 1. The initial magnetic weight results from Neel and Brown relaxations which occur in the time scale much faster than the response time of the electronic balance used to measure the magnetic weight. As the magnetic nanoparticles agglomerate and structural relaxations take place to reach the potential energy minimum, the magnetic weight approaches a maximum. The stretched exponential is a characteristics of the dynamics whose energy barrier has a distribution. A single exponential is observed for the dynamics with a single energy barrier. The energy barrier distribution can be determined by the inverse Laplace transform of the temporal change given a proper expression for the rate constant. 4,5 We have also reported that thermal fluctuation of the magnetic weight of the agglomerated magnetic nanoparticles is synchronized with the temperature. 6 The thermal fluctuation was explained by the fast equilibrium between the dispersed superparamagnetic state and the ferromagnetic-like state of the agglomerate. In this work, we have found that the equilibrium model for the thermal fluctuation of the magnetic weight is valid only for the dynamics of small fluctuations and that a new model with the distribution of free energy differences is required to explain the dynamics of large fluctuations. Figure 1(a) shows the growth of magnetic weight of two samples at the magnetic field gradient of 14.5 T/m with the fitted curves of Eq. (1). The fitting parameters for the 3 wt % sample are W(0) = 2.475 g, W(∞) = 2.569 g, τ = 105 min, and β = 0.406, and those for the 0.75 wt % sample are W(0) = 1.039 g, W(∞) = 1.186 g, τ = 1185 min, and β = 0.860. The magnetic weight of the 3 wt % sample fluctuates more than that of the 0.75 wt % sample partly because the temperature varies in the slightly wider range for the 3 wt % sample and partly because the complexity of the agglomerate is greater for the 3 wt % sample. The temperature ranges for the 3 and 0.75 wt % samples are approximately 284-295 K and 289-296 K, respectively. The temperature is recorded every minute during the dynamics. The same magnetite nanoparticles are used in this work as in the previous reports. 3,6 The magnetite na...