diff --git a/api/core/workflow/nodes/iteration/iteration_node.py b/api/core/workflow/nodes/iteration/iteration_node.py
index ce83352dcb..63e0932a98 100644
--- a/api/core/workflow/nodes/iteration/iteration_node.py
+++ b/api/core/workflow/nodes/iteration/iteration_node.py
@@ -237,8 +237,7 @@ class IterationNode(LLMUsageTrackingMixin, Node):
                     )
                 )
 
-                # Update the total tokens from this iteration
-                self.graph_runtime_state.total_tokens += graph_engine.graph_runtime_state.total_tokens
+                # Accumulate usage from this iteration
                 usage_accumulator[0] = self._merge_usage(
                     usage_accumulator[0], graph_engine.graph_runtime_state.llm_usage
                 )
@@ -265,7 +264,6 @@ class IterationNode(LLMUsageTrackingMixin, Node):
                         datetime,
                         list[GraphNodeEventBase],
                         object | None,
-                        int,
                         dict[str, VariableUnion],
                         LLMUsage,
                     ]
@@ -292,7 +290,6 @@ class IterationNode(LLMUsageTrackingMixin, Node):
                         iter_start_at,
                         events,
                         output_value,
-                        tokens_used,
                         conversation_snapshot,
                         iteration_usage,
                     ) = result
@@ -304,7 +301,6 @@ class IterationNode(LLMUsageTrackingMixin, Node):
                     yield from events
 
                     # Update tokens and timing
-                    self.graph_runtime_state.total_tokens += tokens_used
                     iter_run_map[str(index)] = (datetime.now(UTC).replace(tzinfo=None) - iter_start_at).total_seconds()
 
                     usage_accumulator[0] = self._merge_usage(usage_accumulator[0], iteration_usage)
@@ -336,7 +332,7 @@ class IterationNode(LLMUsageTrackingMixin, Node):
         item: object,
         flask_app: Flask,
         context_vars: contextvars.Context,
-    ) -> tuple[datetime, list[GraphNodeEventBase], object | None, int, dict[str, VariableUnion], LLMUsage]:
+    ) -> tuple[datetime, list[GraphNodeEventBase], object | None, dict[str, VariableUnion], LLMUsage]:
         """Execute a single iteration in parallel mode and return results."""
         with preserve_flask_contexts(flask_app=flask_app, context_vars=context_vars):
             iter_start_at = datetime.now(UTC).replace(tzinfo=None)
@@ -363,7 +359,6 @@ class IterationNode(LLMUsageTrackingMixin, Node):
                 iter_start_at,
                 events,
                 output_value,
-                graph_engine.graph_runtime_state.total_tokens,
                 conversation_snapshot,
                 graph_engine.graph_runtime_state.llm_usage,
             )
diff --git a/api/core/workflow/nodes/loop/loop_node.py b/api/core/workflow/nodes/loop/loop_node.py
index ca39e5aa23..60baed1ed5 100644
--- a/api/core/workflow/nodes/loop/loop_node.py
+++ b/api/core/workflow/nodes/loop/loop_node.py
@@ -140,7 +140,6 @@ class LoopNode(LLMUsageTrackingMixin, Node):
 
             if reach_break_condition:
                 loop_count = 0
-            cost_tokens = 0
 
             for i in range(loop_count):
                 graph_engine = self._create_graph_engine(start_at=start_at, root_node_id=root_node_id)
@@ -163,9 +162,6 @@ class LoopNode(LLMUsageTrackingMixin, Node):
                         # For other outputs, just update
                         self.graph_runtime_state.set_output(key, value)
 
-                # Update the total tokens from this iteration
-                cost_tokens += graph_engine.graph_runtime_state.total_tokens
-
                 # Accumulate usage from the sub-graph execution
                 loop_usage = self._merge_usage(loop_usage, graph_engine.graph_runtime_state.llm_usage)
 
@@ -194,7 +190,6 @@ class LoopNode(LLMUsageTrackingMixin, Node):
                     pre_loop_output=self._node_data.outputs,
                 )
 
-            self.graph_runtime_state.total_tokens += cost_tokens
             self._accumulate_usage(loop_usage)
             # Loop completed successfully
             yield LoopSucceededEvent(