Compared with fishes, the respiration data available for pelagic cephalopods are modest (Seibel et al.,I997’; Seibel_ 2007: Grigoriou and Richardson, 2009; Hirst et al., 2014). Brey (2010) combined a large body of respiration data from diverse aquatic invertebrate taxa including 44 cephalopod species and established an empirical model to estimate the respiration rates as a function of the lifestyle features (i.e., feeding type, mobility type and vision type] and physiological states (fed or starved. and activity level) of these animals along with the body mass. temperature and water depth as parameters. Bray’s (2010) model can be applied to pelagic cephalopods through the proper translation of features such as mobility (as swimmer in contrast with crawler or sessile for benthos), feeding (carnivore) and vision types ( with functional eyes). Nevertheless, the application of a general model developed for broad aquatic invertebrates to a specific group (e.g., pelagic cephalopods) may lead to biased results, as accuracy and generality are contradistinctive objectives in predictive models(cf. Bray. 2010).