diff --git a/vllm_kunlun/v1/attention/backends/kunlun_attn.py b/vllm_kunlun/v1/attention/backends/kunlun_attn.py
index 612ca71..4f2555e 100644
--- a/vllm_kunlun/v1/attention/backends/kunlun_attn.py
+++ b/vllm_kunlun/v1/attention/backends/kunlun_attn.py
@@ -673,6 +673,12 @@ class KunlunAttentionImpl(AttentionImpl[KunlunMetadata]):
         if prefill_meta := attn_metadata.prefill_metadata:
             # Prompt run.
             prefill_query = query[num_decode_tokens:attn_metadata.num_actual_tokens]
+
+            if key_cache.is_contiguous():
+                tmp_block_tables = prefill_meta.block_tables
+            else:
+                tmp_block_tables = prefill_meta.block_tables * 2 # only test in Qwen3-Next
+            
             xtorch_ops.prefill_attention(
                 q=prefill_query,
                 k=key_cache, # Key Cache (block_num, head, block_size, dim)
@@ -680,7 +686,7 @@ class KunlunAttentionImpl(AttentionImpl[KunlunMetadata]):
                 out=output[num_decode_tokens:attn_metadata.num_actual_tokens],
                 is_causal=True,
                 is_prefix_cache=True, 
-                block_table=prefill_meta.block_tables, 
+                block_table=tmp_block_tables, 
                 context_qlen_lod_cpu=prefill_meta.query_start_loc_host,
                 context_qlen_lod_xpu=prefill_meta.query_start_loc,
                 context_kvlen_lod_cpu=prefill_meta.kv_lod_cpu,
@@ -782,4 +788,4 @@ def use_cascade_attention(
     flash_decoding_time = cdiv(flash_decoding_ctas, num_sms)
 
     # Use cascade attention if it is faster than FlashDecoding.
-    return cascade_time < flash_decoding_time
\ No newline at end of file
+    return cascade_time < flash_decoding_time