diff --git a/tests/brevitas_ort/common.py b/tests/brevitas_ort/common.py
index e01596dc9..fa324f0be 100644
--- a/tests/brevitas_ort/common.py
+++ b/tests/brevitas_ort/common.py
@@ -27,6 +27,7 @@
 from brevitas.quant.shifted_scaled_int import ShiftedUint8ActPerTensorFloat
 from brevitas.quant.shifted_scaled_int import ShiftedUint8WeightPerChannelFloat
 from brevitas.quant.shifted_scaled_int import ShiftedUint8WeightPerTensorFloat
+from brevitas.quant_tensor import QuantTensor
 from brevitas_examples.common.generative.quantizers import ShiftedUint8DynamicActPerTensorFloat
 
 SEED = 123456
@@ -116,10 +117,15 @@ def is_brevitas_ort_close(
     input_t = torch.from_numpy(np_input)
     with torch.no_grad():
         brevitas_output = model(input_t)
-    computed_out = brevitas_output.value
+    if isinstance(brevitas_output, QuantTensor):
+        computed_out = brevitas_output.value
+        scale = brevitas_output.scale
+    else:
+        computed_out = brevitas_output
+        scale = 1.
 
     if tolerance is not None and export_type == 'qcdq':
-        tolerance = tolerance * brevitas_output.scale  # Float Output, tolerance is +/- output scale
+        tolerance = tolerance * scale  # Float Output, tolerance is +/- output scale
 
     if export_type == 'qonnx':
         exported_model = export_qonnx(model, input_t, export_path=export_name)