diff --git a/python/sglang/srt/managers/schedule_batch.py b/python/sglang/srt/managers/schedule_batch.py
index 3d70fec38..cb616a039 100755
--- a/python/sglang/srt/managers/schedule_batch.py
+++ b/python/sglang/srt/managers/schedule_batch.py
@@ -2420,7 +2420,9 @@ class ScheduleBatch(ScheduleBatchDisaggregationDecodeMixin):
             self.seq_lens.add_(1)
             self.seq_lens_cpu.add_(1)
             self.orig_seq_lens.add_(1)
-        self.seq_lens_sum += bs
+        # Defer compute to refresh_seq_lens_cpu (either pre-forward in scheduler.py
+        # or lazily in ForwardBatch.init_new).
+        self.seq_lens_sum = None
 
         if self.hisparse_coordinator is not None:
             self.hisparse_coordinator.map_last_loc_to_buffer(
@@ -2455,6 +2457,15 @@ class ScheduleBatch(ScheduleBatchDisaggregationDecodeMixin):
             if draft_input.verify_done is not None:
                 draft_input.verify_done.wait()
 
+    def refresh_seq_lens_cpu(self, sync: bool = True):
+        # sync=True: D2H from seq_lens (needed when seq_lens_cpu is stale
+        # relative to seq_lens, i.e. spec v2's mid-forward GPU rebind).
+        # sync=False: caller asserts seq_lens_cpu already fresh — skip D2H,
+        # only recompute the cached sum.
+        if sync and self.is_spec_v2:
+            self.seq_lens_cpu = self.seq_lens.cpu()
+        self.seq_lens_sum = int(self.seq_lens_cpu.sum())
+
     def filter_batch(
         self,
         chunked_req_to_exclude: Optional[Union[Req, List[Req]]] = None,
@@ -2505,7 +2516,9 @@ class ScheduleBatch(ScheduleBatchDisaggregationDecodeMixin):
         self.seq_lens_cpu = self.seq_lens_cpu[keep_indices]
         self.orig_seq_lens = self.orig_seq_lens[keep_indices_device]
         self.out_cache_loc = None
-        self.seq_lens_sum = self.seq_lens.sum().item()
+        # Defer compute to refresh_seq_lens_cpu (either pre-forward in scheduler.py
+        # or lazily in ForwardBatch.init_new).
+        self.seq_lens_sum = None
 
         if self.input_ids is not None:
             self.input_ids = self.input_ids[keep_indices_device]
@@ -2565,7 +2578,9 @@ class ScheduleBatch(ScheduleBatchDisaggregationDecodeMixin):
         self.seq_lens_cpu = torch.cat([self.seq_lens_cpu, other.seq_lens_cpu])
         self.orig_seq_lens = torch.cat([self.orig_seq_lens, other.orig_seq_lens])
         self.out_cache_loc = None
-        self.seq_lens_sum += other.seq_lens_sum
+        # Defer compute to refresh_seq_lens_cpu (either pre-forward in scheduler.py
+        # or lazily in ForwardBatch.init_new).
+        self.seq_lens_sum = None
         if self.input_ids is not None:
             self.input_ids = torch.cat([self.input_ids, other.input_ids])
         self.mamba_track_indices = None
diff --git a/python/sglang/srt/managers/scheduler.py b/python/sglang/srt/managers/scheduler.py
index b178705f4..204d3a248 100644
--- a/python/sglang/srt/managers/scheduler.py
+++ b/python/sglang/srt/managers/scheduler.py
@@ -2835,6 +2835,10 @@ class Scheduler(
         # Run forward
         if self.is_generation:
             if self.enable_overlap:
+                # Refresh BEFORE _overlap_forward_isolation so snapshot
+                # captures fresh values and restore preserves them.
+                batch.refresh_seq_lens_cpu()
+
                 with self._overlap_forward_isolation(batch):
                     bs = len(batch.seq_lens)
                     future_indices = self.future_map.alloc_future_indices(bs)
diff --git a/python/sglang/srt/model_executor/forward_batch_info.py b/python/sglang/srt/model_executor/forward_batch_info.py
index 08f858312..86288188f 100644
--- a/python/sglang/srt/model_executor/forward_batch_info.py
+++ b/python/sglang/srt/model_executor/forward_batch_info.py
@@ -503,6 +503,9 @@ class ForwardBatch(ForwardBatchDeepSeekMHAMixin):
         else:
             seq_lens_cpu = batch.seq_lens_cpu
 
+        if batch.seq_lens_sum is None:
+            batch.refresh_seq_lens_cpu(sync=False)
+
         ret = cls(
             forward_mode=batch.forward_mode,
             batch_size=len(batch.seq_lens),
diff --git a/python/sglang/srt/speculative/eagle_info_v2.py b/python/sglang/srt/speculative/eagle_info_v2.py
index 63dc2068e..fb445177b 100644
--- a/python/sglang/srt/speculative/eagle_info_v2.py
+++ b/python/sglang/srt/speculative/eagle_info_v2.py
@@ -173,10 +173,6 @@ class EagleDraftInputV2Mixin:
             bs,
         )
 
-        # FIXME(lsyin): make this sync optional
-        batch.seq_lens_cpu = batch.seq_lens.cpu()
-        batch.seq_lens_sum = batch.seq_lens_cpu.sum().item()
-
     def prepare_for_v2_draft(
         self: EagleDraftInput,
         req_to_token_pool: ReqToTokenPool,
@@ -235,7 +231,9 @@ class EagleDraftInputV2Mixin:
         batch.input_ids = predict
         batch.seq_lens = batch.seq_lens + num_draft_tokens
         batch.seq_lens_cpu = batch.seq_lens_cpu + num_draft_tokens
-        batch.seq_lens_sum += extend_num_tokens
+        # seq_lens_cpu was just CPU-updated in tandem — sync=False avoids
+        # a redundant D2H on the draft hot path.
+        batch.refresh_seq_lens_cpu(sync=False)
         batch.extend_lens = [num_draft_tokens for _ in range(len(batch.seq_lens))]
         batch.prefix_lens = seq_lens_cpu_.tolist()
         batch.extend_num_tokens = extend_num_tokens
@@ -288,7 +286,7 @@ class EagleVerifyInputV2Mixin:
             # Populate seq_lens_cpu/seq_lens_sum on the verify input so that
             # TBO's split_spec_info can slice the custom_mask correctly.
             self.seq_lens_cpu = batch.seq_lens_cpu
-            self.seq_lens_sum = batch.seq_lens_sum
+            self.seq_lens_sum = int(batch.seq_lens_cpu.sum())
 
         # Get a forward batch
         batch.forward_mode = (