Purpose: Small extracellular vesicles (sEVs) are nanoscale biomaterial-like structures involved in intercellular communication and cancer progression. Aberrant surface glycosylation may serve as a diagnostic marker for malignancy. This study aimed to compare the size, glycosylation, and biophysical properties of sEVs secreted by primary and metastatic melanoma cells, and to evaluate a novel analytical technique for glycoprofiling. Methods: sEVs were isolated from the primary (WM115) and metastatic (WM266-4) melanoma cell lines. Their size and concentration were assessed via Nanoparticle Tracking Analysis (NTA), and exosomal identity was confirmed using Western blotting. Glycosylation profiling was performed using a multimodal strategy: Quartz Crystal Microbalance with Dissipation monitoring (QCM-D), Nanoplasmonic Sensing (NPS), and, for the first time, Flow-Induced Dispersion Analysis (FIDA). Concanavalin A (Con A) was used as the probe for high-mannose glycans. Results: WM266-4-derived sEVs were significantly larger, whereas WM115 cells secreted more vesicles. Western blotting confirmed the presence of exosomal markers and absence of organelle contaminants. QCM-D and NPS showed stronger Con A binding and higher glycan viscoelasticity index (gVI) in metastatic sEVs, indicating altered glycan architecture. FIDA further confirmed these differences by quantifying a lower dissociation constant (Kd) and multivalent binding behavior in WM266-4-derived sEVs, consistent with a denser glycan coat. Conclusion: Metastatic melanoma–derived sEVs exhibited distinct Con A–detectable high-mannose glycosylation patterns that may represent malignancy-associated features. This study demonstrates the utility of multimodal nanobiophysical methods, particularly FIDA, as sensitive tools for EV glycoprofiling. While the present findings are based on cell line–derived sEVs, they support the translational potential of glycan-based signatures for future liquid biopsy platforms and expand the analytical capabilities of cancer nanodiagnostics. Plain Language Summary: Melanoma is a dangerous type of skin cancer that can spread quickly. Doctors need better ways to tell how aggressive a melanoma is, ideally using simple blood tests. One promising source of information is small extracellular vesicles (sEVs). These nanosized particles are released by all cells, including cancer cells, and carry biological signals that may reveal disease status. In this study, researchers compared sEVs released by two melanoma cell lines: one from an early-stage tumor (WM115) and one from a later, metastatic tumor (WM266-4). Both came from the same patient, making the comparison more reliable. The team found that metastatic cells produced fewer but larger vesicles, with clear differences in the sugar molecules (glycans) displayed on their surfaces. To study these sugar patterns, the researchers combined advanced nanoscale tools: Quartz Crystal Microbalance with Dissipation (QCM-D), NanoPlasmonic Sensing (NPS), and, for the first time in this context, Flow-Induced Dispersion Analysis (FIDA). Using a plant protein called Concanavalin A (Con A), which specifically binds to high-mannose glycans, they showed that vesicles from metastatic cells carried denser and more accessible sugar motifs. These findings suggest that vesicle surface sugars could provide useful clues about melanoma progression. However, the results come from cell line–derived vesicles and have not yet been validated in patient samples. Future studies using broader lectin panels and clinical material will be needed. Even so, this research highlights the potential of glycan signatures and FIDA as part of future non-invasive, nanotechnology-enabled blood tests to monitor cancer.