diff --git a/python/sglang/srt/hardware_backend/npu/graph_runner/npu_graph_runner.py b/python/sglang/srt/hardware_backend/npu/graph_runner/npu_graph_runner.py
index dc40a0fb8..9a377d5d9 100644
--- a/python/sglang/srt/hardware_backend/npu/graph_runner/npu_graph_runner.py
+++ b/python/sglang/srt/hardware_backend/npu/graph_runner/npu_graph_runner.py
@@ -28,6 +28,7 @@ import torch
 import sglang
 from sglang.srt.configs.model_config import AttentionArch, is_deepseek_nsa
 from sglang.srt.distributed.parallel_state import GroupCoordinator
+from sglang.srt.environ import envs
 from sglang.srt.model_executor.cuda_graph_runner import CudaGraphRunner
 from sglang.srt.utils import (
     empty_context,
@@ -173,6 +174,13 @@ class NPUGraphRunner(CudaGraphRunner):
             # In speculative decoding, these two fields are still needed.
             self.buffers.input_ids[: self.raw_num_token].copy_(forward_batch.input_ids)
             self.buffers.positions[: self.raw_num_token].copy_(forward_batch.positions)
+            if (
+                envs.SGLANG_ENABLE_OVERLAP_PLAN_STREAM.get()
+                and forward_batch.mrope_positions is not None
+            ):
+                self.buffers.mrope_positions[:, : self.raw_num_token].copy_(
+                    forward_batch.mrope_positions
+                )
 
         self.update_attr_name = self._get_update_attr_name()
         self.update_attr_type = self._get_update_attr_type()
diff --git a/python/sglang/srt/model_executor/forward_batch_info.py b/python/sglang/srt/model_executor/forward_batch_info.py
index c6fac4352..0b7e3b14f 100644
--- a/python/sglang/srt/model_executor/forward_batch_info.py
+++ b/python/sglang/srt/model_executor/forward_batch_info.py
@@ -587,7 +587,7 @@ class ForwardBatch(ForwardBatchDeepSeekMHAMixin):
                 ret.spec_info is not None
                 and getattr(ret.spec_info, "positions", None) is not None
             ):
-                ret._compute_spec_mrope_positions(model_runner, batch)
+                ret.compute_spec_mrope_positions(model_runner, batch)
             else:
                 ret._compute_mrope_positions(model_runner, batch)
 
@@ -696,7 +696,7 @@ class ForwardBatch(ForwardBatchDeepSeekMHAMixin):
             req_lens=req_lens,
         )
 
-    def _compute_spec_mrope_positions(
+    def compute_spec_mrope_positions(
         self, model_runner: ModelRunner, batch: ModelWorkerBatch
     ):
         # TODO support batched deltas
diff --git a/python/sglang/srt/speculative/eagle_worker_v2.py b/python/sglang/srt/speculative/eagle_worker_v2.py
index e91015dda..27c9a14ed 100644
--- a/python/sglang/srt/speculative/eagle_worker_v2.py
+++ b/python/sglang/srt/speculative/eagle_worker_v2.py
@@ -969,6 +969,18 @@ class EAGLEWorkerV2(BaseSpecWorker):
             torch.get_device_module(self.device).current_stream().wait_stream(
                 self.plan_stream
             )
+            if (
+                _is_npu
+                and self._target_worker.model_runner.model_is_mrope
+                and batch.spec_info is not None
+                and getattr(batch.spec_info, "positions", None) is not None
+                and not batch.forward_mode.is_idle()
+            ):
+                # mrope_position depends on draft output in default stream and is computed in plan stream,
+                # causing errors. Compute it here for correct values.
+                verify_forward_batch.compute_spec_mrope_positions(
+                    self._target_worker.model_runner, batch
+                )
 
             # Some values such as custom_mask and position depend on the output of draft,
             # so the previous plan step used the wrong values. Here, we need to run the related