diff --git a/libs/langgraph/langgraph/pregel/_algo.py b/libs/langgraph/langgraph/pregel/_algo.py
index d7157e239..cddc0a8ca 100644
--- a/libs/langgraph/langgraph/pregel/_algo.py
+++ b/libs/langgraph/langgraph/pregel/_algo.py
@@ -210,7 +210,7 @@ def local_read(
     return values
 
 
-def increment(current: int | None, channel: None) -> int:
+def increment(current: int | None, channel: None = None) -> int:
     """Default channel versioning function, increments the current int version."""
     return current + 1 if current is not None else 1
 
diff --git a/libs/langgraph/langgraph/pregel/_loop.py b/libs/langgraph/langgraph/pregel/_loop.py
index 0ebb14042..00b910dca 100644
--- a/libs/langgraph/langgraph/pregel/_loop.py
+++ b/libs/langgraph/langgraph/pregel/_loop.py
@@ -25,6 +25,7 @@ from langchain_core.callbacks import AsyncParentRunManager, ParentRunManager
 from langchain_core.runnables import RunnableConfig
 from langgraph.cache.base import BaseCache
 from langgraph.checkpoint.base import (
+    DELTA_SENTINEL,
     WRITES_IDX_MAP,
     BaseCheckpointSaver,
     ChannelVersions,
@@ -198,6 +199,7 @@ class PregelLoop:
     checkpoint_pending_writes: list[PendingWrite]
     checkpoint_previous_versions: dict[str, str | float | int]
     prev_checkpoint_config: RunnableConfig | None
+    _pending_write_futs: list[concurrent.futures.Future]
 
     status: Literal[
         "input",
@@ -407,7 +409,7 @@ class PregelLoop:
                     task = self.tasks.get(task_id)
                 else:
                     task = None
-                self.submit(
+                fut = self.submit(
                     self.checkpointer_put_writes,
                     config,
                     writes_to_save,
@@ -415,12 +417,13 @@ class PregelLoop:
                     task_path_str(task.path) if task else "",
                 )
             else:
-                self.submit(
+                fut = self.submit(
                     self.checkpointer_put_writes,
                     config,
                     writes_to_save,
                     task_id,
                 )
+            self._pending_write_futs.append(fut)
         # output writes
         if hasattr(self, "tasks"):
             self.output_writes(task_id, writes)
@@ -931,6 +934,17 @@ class PregelLoop:
             )
             self.checkpoint_previous_versions = channel_versions
 
+            # If the checkpoint has any DELTA_SENTINEL blobs, the sentinel is
+            # only meaningful if checkpoint_writes are durable first.  Flush
+            # pending write futures synchronously before committing the blob so
+            # we never end up with a sentinel blob backed by missing writes.
+            if self._pending_write_futs and any(
+                v is DELTA_SENTINEL for v in self.checkpoint["channel_values"].values()
+            ):
+                for fut in self._pending_write_futs:
+                    fut.result()
+                self._pending_write_futs.clear()
+
             # save it, without blocking
             # if there's a previous checkpoint save in progress, wait for it
             # ensuring checkpointers receive checkpoints in order
@@ -1275,6 +1289,7 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
             if saved.pending_writes is not None
             else []
         )
+        self._pending_write_futs = []
         self.submit = self.stack.enter_context(BackgroundExecutor(self.config))
         self.channels, self.managed = channels_from_checkpoint(
             self.specs,
@@ -1480,6 +1495,7 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
             if saved.pending_writes is not None
             else []
         )
+        self._pending_write_futs = []
         self.submit = await self.stack.enter_async_context(
             AsyncBackgroundExecutor(self.config)
         )
diff --git a/libs/langgraph/tests/test_pregel.py b/libs/langgraph/tests/test_pregel.py
index 0f1e4e196..52057abe5 100644
--- a/libs/langgraph/tests/test_pregel.py
+++ b/libs/langgraph/tests/test_pregel.py
@@ -9584,3 +9584,90 @@ async def test_delta_channel_update_by_id_end_to_end() -> None:
     assert "h1" in ids  # h1 persists (updated, not duplicated)
     assert "h2" in ids
     assert ids.count("h1") == 1, "h1 must not be duplicated"
+
+
+async def test_delta_channel_write_flushed_before_put() -> None:
+    """checkpoint_writes are flushed synchronously before put when DELTA_SENTINEL
+    is present, ensuring writes are durable before the sentinel blob is committed.
+
+    We verify this by intercepting put_writes and put calls and confirming
+    put_writes always completes before put is called for sentinel checkpoints.
+    """
+    import threading
+    from typing import Annotated
+
+    from langchain_core.messages import AIMessage, HumanMessage
+    from langgraph.checkpoint.base import DELTA_SENTINEL
+    from langgraph.checkpoint.memory import InMemorySaver
+
+    from langgraph.graph import START, StateGraph
+    from langgraph.graph.message import add_messages
+
+    class State(TypedDict):
+        messages: Annotated[list, DeltaChannel(add_messages)]
+
+    def respond(state: State) -> dict:
+        i = len(state["messages"])
+        return {"messages": [AIMessage(content=f"r{i}", id=f"ai{i}")]}
+
+    order: list[str] = []
+    lock = threading.Lock()
+    original_put_writes = InMemorySaver.put_writes
+    original_put = InMemorySaver.put
+
+    def tracked_put_writes(self, config, writes, task_id, task_path=""):
+        result = original_put_writes(self, config, writes, task_id, task_path)
+        with lock:
+            order.append("put_writes")
+        return result
+
+    def tracked_put(self, config, checkpoint, metadata, new_versions):
+        # Check if this checkpoint has any DELTA_SENTINEL blobs
+        has_sentinel = any(
+            v is DELTA_SENTINEL for v in checkpoint.get("channel_values", {}).values()
+        )
+        if has_sentinel:
+            with lock:
+                order.append("put_sentinel")
+        else:
+            with lock:
+                order.append("put_snapshot")
+        return original_put(self, config, checkpoint, metadata, new_versions)
+
+    InMemorySaver.put_writes = tracked_put_writes
+    InMemorySaver.put = tracked_put
+    try:
+        builder = StateGraph(State)
+        builder.add_node("respond", respond)
+        builder.add_edge(START, "respond")
+        saver = InMemorySaver()
+        graph = builder.compile(checkpointer=saver)
+        config = {"configurable": {"thread_id": "flush-test"}}
+
+        for i in range(3):
+            graph.invoke(
+                {"messages": [HumanMessage(content=f"h{i}", id=f"h{i}")]}, config
+            )
+
+        # For every sentinel put, all preceding put_writes must already be in order
+        for i, event in enumerate(order):
+            if event == "put_sentinel":
+                # All put_writes before this index must appear before this sentinel
+                preceding = order[:i]
+                assert "put_writes" in preceding, (
+                    f"put_sentinel at index {i} had no preceding put_writes: {order}"
+                )
+                # And the most recent put_writes must come before this sentinel
+                last_write_idx = max(
+                    j for j, e in enumerate(order[:i]) if e == "put_writes"
+                )
+                assert last_write_idx < i, (
+                    f"put_writes at {last_write_idx} not before put_sentinel at {i}"
+                )
+    finally:
+        InMemorySaver.put_writes = original_put_writes
+        InMemorySaver.put = original_put
+
+    # Final state must still be correct
+    state = graph.get_state(config)
+    assert len(state.values["messages"]) == 6  # 3 human + 3 AI