diff --git a/backends/webgpu/test/test_webgpu_native.cpp b/backends/webgpu/test/test_webgpu_native.cpp
index 338ecb39913..ef643d33482 100644
--- a/backends/webgpu/test/test_webgpu_native.cpp
+++ b/backends/webgpu/test/test_webgpu_native.cpp
@@ -662,29 +662,38 @@ static bool test_sdpa_config(
   }
 
   const auto& outputs = result.get();
-  // The mutating op returns [k_cache, v_cache, attn_output]; select the
-  // attention output (numel == S*Hq*D), not a mutated cache (numel Cmax*Hkv*D).
-  // Count matches and fail if ambiguous: a cache could share the same numel.
+  // Select the attention output [1,S,Hq,D] by shape; the op returns
+  // [k_cache, v_cache, attn_output] and a cache [1,Cmax,Hkv,D] can share numel.
   int attn_idx = -1;
   int attn_matches = 0;
   for (size_t i = 0; i < outputs.size(); i++) {
-    if (outputs[i].isTensor() && outputs[i].toTensor().numel() == on) {
+    if (!outputs[i].isTensor()) {
+      continue;
+    }
+    const auto& t = outputs[i].toTensor();
+    if (t.dim() == 4 && static_cast<int>(t.size(1)) == cfg.s &&
+        static_cast<int>(t.size(2)) == cfg.hq &&
+        static_cast<int>(t.size(3)) == cfg.d) {
       attn_idx = static_cast<int>(i);
       attn_matches++;
     }
   }
   if (attn_idx < 0) {
     printf(
-        "FAIL: no attention output (numel %d) among %zu outputs\n",
-        on,
+        "FAIL: no attention output [1,%d,%d,%d] among %zu outputs\n",
+        cfg.s,
+        cfg.hq,
+        cfg.d,
         outputs.size());
     return false;
   }
   if (attn_matches > 1) {
     printf(
-        "FAIL: ambiguous attention output: %d tensors match numel %d\n",
+        "FAIL: ambiguous attention output: %d tensors match shape [1,%d,%d,%d]\n",
         attn_matches,
-        on);
+        cfg.s,
+        cfg.hq,
+        cfg.d);
     return false;
   }
   const auto& out_tensor = outputs[attn_idx].toTensor();