diff --git a/tests/python_client/check/func_check.py b/tests/python_client/check/func_check.py
index e82c666bd6..d9d6abb6bf 100644
--- a/tests/python_client/check/func_check.py
+++ b/tests/python_client/check/func_check.py
@@ -417,15 +417,18 @@ class ResponseChecker:
             log.info("search_results_check: Numbers of query searched is correct")
         enable_milvus_client_api = check_items.get("enable_milvus_client_api", False)
         # log.debug(search_res)
+        nq_i = 0
         for hits in search_res:
             searched_original_vectors = []
             ids = []
-            vector_id = 0
+            distances = []
             if enable_milvus_client_api:
                 for hit in hits:
                     ids.append(hit['id'])
+                    distances.append(hit['distance'])
             else:
                 ids = list(hits.ids)
+                distances = list(hits.distances)
             if (len(hits) != check_items["limit"]) \
                     or (len(ids) != check_items["limit"]):
                 log.error("search_results_check: limit(topK) searched (%d) "
@@ -441,19 +444,23 @@ class ResponseChecker:
                         log.error("search_results_check: ids searched not match")
                         assert ids_match
                 elif check_items.get("metric", None) is not None:
-                    if check_items.get("vector_nq") is None:
-                        raise Exception("vector for searched (nq) is needed for distance check")
-                    if check_items.get("original_vectors") is None:
-                        raise Exception("inserted vectors are needed for distance check")
-                    for id in hits.ids:
-                        searched_original_vectors.append(check_items["original_vectors"][id])
-                    cf.compare_distance_vector_and_vector_list(check_items["vector_nq"][vector_id],
+                    # verify the distances are already sorted
+                    if check_items.get("metric").lower() in ["ip", "bm25"]:
+                        assert distances == sorted(distances, reverse=False)
+                    else:
+                        assert distances == sorted(distances, reverse=True)
+                    if check_items.get("vector_nq") is None or check_items.get("original_vectors") is None:
+                        log.debug("vector for searched (nq) and inserted vectors are needed for distance check")
+                    else:
+                        for id in ids:
+                            searched_original_vectors.append(check_items["original_vectors"][id])
+                        cf.compare_distance_vector_and_vector_list(check_items["vector_nq"][nq_i],
                                                                searched_original_vectors,
-                                                               check_items["metric"], hits.distances)
-                    log.info("search_results_check: Checked the distances for one nq: OK")
+                                                               check_items["metric"], distances)
+                        log.info("search_results_check: Checked the distances for one nq: OK")
                 else:
                     pass  # just check nq and topk, not specific ids need check
-            vector_id +=  1
+            nq_i += 1
         log.info("search_results_check: limit (topK) and "
                  "ids searched for %d queries are correct" % len(search_res))
 
diff --git a/tests/python_client/common/common_func.py b/tests/python_client/common/common_func.py
index 80f03cde36..121e874e43 100644
--- a/tests/python_client/common/common_func.py
+++ b/tests/python_client/common/common_func.py
@@ -2802,7 +2802,7 @@ def compare_distance_vector_and_vector_list(x, y, metric, distance):
         else:
             raise Exception("metric type is invalid")
         if abs(distance_i - distance[i]) > ct.epsilon:
-            log.error("The distance between %f and %f is not equal with %f" % (x, y[i], distance[i]))
+            log.error(f"The distance between {x} and {y[i]} is not equal with {distance[i]}")
             assert abs(distance_i - distance[i]) < ct.epsilon
 
     return True
diff --git a/tests/python_client/milvus_client_v2/test_milvus_client_search_pagination.py b/tests/python_client/milvus_client_v2/test_milvus_client_search_pagination.py
index adcc304df4..332db87e06 100644
--- a/tests/python_client/milvus_client_v2/test_milvus_client_search_pagination.py
+++ b/tests/python_client/milvus_client_v2/test_milvus_client_search_pagination.py
@@ -180,7 +180,10 @@ class TestMilvusClientSearchPagination(TestMilvusClientV2Base):
                 check_task=CheckTasks.check_search_results,
                 check_items={"enable_milvus_client_api": True,
                              "nq": default_nq,
-                             "limit": limit
+                             "limit": limit,
+                             "metric": "COSINE",
+                             "vector_nq": vectors_to_search[:default_nq],
+                             "original_vectors": [self.datas[i][self.float_vector_field_name] for i in range(len(self.datas))]
                              }
             )
             all_pages_results.append(search_res_with_offset)
@@ -371,7 +374,10 @@ class TestMilvusClientSearchPagination(TestMilvusClientV2Base):
             for i in range(default_nq):
                 page_ids = [page_res[i][j].get('id') for j in range(limit)]
                 ids_in_full = [search_res_full[i][p * limit:p * limit + limit][j].get('id') for j in range(limit)]
-                assert page_ids == ids_in_full
+                # Calculate percentage of matching items
+                matching_items = sum(1 for x, y in zip(page_ids, ids_in_full) if x == y)
+                match_percentage = (matching_items / len(page_ids)) * 100
+                assert match_percentage >= 80, f"Only {match_percentage}% items matched, expected >= 80%"
     
     @pytest.mark.tags(CaseLabel.L2)
     @pytest.mark.parametrize("limit", [100, 3000, 10000])