diff --git a/mlx/backend/metal/quantized.cpp b/mlx/backend/metal/quantized.cpp
index c8d5a31cb4..3d0deeb992 100644
--- a/mlx/backend/metal/quantized.cpp
+++ b/mlx/backend/metal/quantized.cpp
@@ -1614,6 +1614,17 @@ void QQMatmul::eval_gpu(const std::vector<array>& inputs, array& out) {
 
   auto mode = quantization_mode_to_string(mode_);
   bool w_quantized = (inputs[1].dtype() == uint32);
+  // Tensor-scale nvfp4 (global_scale_x / global_scale_w) is packed into
+  // inputs by ops.cpp but no Metal qqmm kernel currently consumes the
+  // global scales. Reject the request rather than silently dropping them
+  // in the gemv path below.
+  int base_size = w_quantized ? 3 : 2;
+  if (mode_ == QuantizationMode::Nvfp4 &&
+      static_cast<int>(inputs.size()) > base_size) {
+    throw std::runtime_error(
+        "[QQMatmul] Global scale (tensor-scale nvfp4) is not supported "
+        "on the Metal backend.");
+  }
   if (w_quantized && inputs[0].shape(-2) == 1) {
     out.set_data(allocator::malloc(out.nbytes()));
 
diff --git a/python/tests/test_quantized.py b/python/tests/test_quantized.py
index b036979044..d73927889e 100644
--- a/python/tests/test_quantized.py
+++ b/python/tests/test_quantized.py
@@ -205,6 +205,32 @@ def test_qqmv(self):
                     self.assertEqual(y_q.shape, y_hat.shape)
                     self.assertLess((y_q - y_hat).abs().max(), 1e-3)
 
+    def test_qqmm_metal_global_scale_rejected(self):
+        # Tensor-scale nvfp4 (global_scale_x / global_scale_w) is not
+        # implemented in the Metal qqmm kernels. mx.qqmm must reject the
+        # request on Metal rather than silently dropping the global scales
+        # in the gemv path and producing incorrect results.
+        if not mx.metal.is_available():
+            return
+
+        w = mx.random.normal(shape=(64, 64))
+        w_q, scales = mx.quantize(w, mode="nvfp4")
+        x = mx.random.normal(shape=(1, 64))
+        gx = mx.array(1.0, dtype=mx.float32)
+        gw = mx.array(1.0, dtype=mx.float32)
+
+        with self.assertRaises(RuntimeError):
+            y = mx.qqmm(
+                x,
+                w_q,
+                scales,
+                mode="nvfp4",
+                global_scale_x=gx,
+                global_scale_w=gw,
+                stream=mx.gpu,
+            )
+            mx.eval(y)
+
     def test_qmm(self):
         key = mx.random.key(0)
         k1, k2 = mx.random.split(key)