diff --git a/vllm_ascend/worker/model_runner_v1.py b/vllm_ascend/worker/model_runner_v1.py
index 206f40df..357ee039 100644
--- a/vllm_ascend/worker/model_runner_v1.py
+++ b/vllm_ascend/worker/model_runner_v1.py
@@ -1257,10 +1257,22 @@ class NPUModelRunner(GPUModelRunner):
                     num_reqs_padded = self._pad_query_start_loc_for_fia(
                         num_tokens_padded, num_reqs_padded, num_reqs, cudagraph_mode, batch_desc.num_reqs
                     )
-                    if enable_sp() and num_tokens_padded == num_tokens_unpadded:
-                        if num_reqs_padded > old_num_reqs_padded:
+
+
+                    # FIA may add a virtual request in Mixed Batch scenarios.
+                    # here we revert the request added by _pad_query_start_loc_for_fia if SP is enabled.
+                    # RELAXED CONDITION: Check if num_reqs_padded was actually increased, rather than
+                    # strictly checking token equality. This handles cases where num_tokens_padded
+                    # != num_tokens_unpadded due to SP alignment (e.g., 29292 vs 29290).
+                    if enable_sp() and num_reqs_padded > old_num_reqs_padded:
+                        if num_tokens_padded == num_tokens_unpadded:
                             num_reqs_padded = old_num_reqs_padded
                             self.query_start_loc.np[num_reqs_padded + 1] = 0
+                        if num_tokens_padded != num_tokens_unpadded and not self.speculative_config:
+                            num_reqs_padded = old_num_reqs_padded
+                            self.query_start_loc.np[num_reqs_padded + 1] = 0
+                            self.query_start_loc.np[num_reqs_padded] = num_tokens_padded
+                            self.query_start_loc.gpu[num_reqs_padded] = num_tokens_padded
 
                 (attn_metadata, spec_decode_common_attn_metadata) = self._build_attention_metadata(
                     num_tokens=num_tokens_unpadded