diff --git a/backend/open_webui/models/chat_messages.py b/backend/open_webui/models/chat_messages.py
index f3058f4ff..371e90db3 100644
--- a/backend/open_webui/models/chat_messages.py
+++ b/backend/open_webui/models/chat_messages.py
@@ -331,6 +331,63 @@ class ChatMessageTable:
                 for row in results
             }
 
+    def get_token_usage_by_user(
+        self,
+        start_date: Optional[int] = None,
+        end_date: Optional[int] = None,
+        db: Optional[Session] = None,
+    ) -> dict[str, dict]:
+        """Aggregate token usage by user using database-level aggregation."""
+        with get_db_context(db) as db:
+            from sqlalchemy import func, cast, Integer
+
+            dialect = db.bind.dialect.name
+
+            if dialect == "sqlite":
+                input_tokens = cast(
+                    func.json_extract(ChatMessage.usage, "$.input_tokens"), Integer
+                )
+                output_tokens = cast(
+                    func.json_extract(ChatMessage.usage, "$.output_tokens"), Integer
+                )
+            elif dialect == "postgresql":
+                input_tokens = cast(
+                    ChatMessage.usage["input_tokens"].astext, Integer
+                )
+                output_tokens = cast(
+                    ChatMessage.usage["output_tokens"].astext, Integer
+                )
+            else:
+                raise NotImplementedError(f"Unsupported dialect: {dialect}")
+
+            query = db.query(
+                ChatMessage.user_id,
+                func.coalesce(func.sum(input_tokens), 0).label("input_tokens"),
+                func.coalesce(func.sum(output_tokens), 0).label("output_tokens"),
+                func.count(ChatMessage.id).label("message_count"),
+            ).filter(
+                ChatMessage.role == "assistant",
+                ChatMessage.user_id.isnot(None),
+                ChatMessage.usage.isnot(None),
+            )
+
+            if start_date:
+                query = query.filter(ChatMessage.created_at >= start_date)
+            if end_date:
+                query = query.filter(ChatMessage.created_at <= end_date)
+
+            results = query.group_by(ChatMessage.user_id).all()
+
+            return {
+                row.user_id: {
+                    "input_tokens": row.input_tokens,
+                    "output_tokens": row.output_tokens,
+                    "total_tokens": row.input_tokens + row.output_tokens,
+                    "message_count": row.message_count,
+                }
+                for row in results
+            }
+
     def get_message_count_by_user(
         self,
         start_date: Optional[int] = None,
diff --git a/backend/open_webui/routers/analytics.py b/backend/open_webui/routers/analytics.py
index db66e9943..d8f6928ff 100644
--- a/backend/open_webui/routers/analytics.py
+++ b/backend/open_webui/routers/analytics.py
@@ -33,6 +33,9 @@ class UserAnalyticsEntry(BaseModel):
     name: Optional[str] = None
     email: Optional[str] = None
     count: int
+    input_tokens: int = 0
+    output_tokens: int = 0
+    total_tokens: int = 0
 
 
 class UserAnalyticsResponse(BaseModel):
@@ -70,12 +73,15 @@ async def get_user_analytics(
     user=Depends(get_admin_user),
     db: Session = Depends(get_session),
 ):
-    """Get message counts per user with user info."""
+    """Get message counts and token usage per user with user info."""
     from open_webui.models.users import Users
     
     counts = ChatMessages.get_message_count_by_user(
         start_date=start_date, end_date=end_date, db=db
     )
+    token_usage = ChatMessages.get_token_usage_by_user(
+        start_date=start_date, end_date=end_date, db=db
+    )
     
     # Get user info for top users
     top_user_ids = [uid for uid, _ in sorted(counts.items(), key=lambda x: -x[1])[:limit]]
@@ -84,11 +90,15 @@ async def get_user_analytics(
     users = []
     for user_id in top_user_ids:
         u = user_info.get(user_id)
+        tokens = token_usage.get(user_id, {})
         users.append(UserAnalyticsEntry(
             user_id=user_id,
             name=u.name if u else None,
             email=u.email if u else None,
-            count=counts[user_id]
+            count=counts[user_id],
+            input_tokens=tokens.get("input_tokens", 0),
+            output_tokens=tokens.get("output_tokens", 0),
+            total_tokens=tokens.get("total_tokens", 0),
         ))
     
     return UserAnalyticsResponse(users=users)
diff --git a/src/lib/components/admin/Analytics/Dashboard.svelte b/src/lib/components/admin/Analytics/Dashboard.svelte
index e49275690..82eb5b581 100644
--- a/src/lib/components/admin/Analytics/Dashboard.svelte
+++ b/src/lib/components/admin/Analytics/Dashboard.svelte
@@ -310,6 +310,7 @@
 									{/if}
 								</div>
 							</th>
+							<th scope="col" class="px-2.5 py-2 text-right">{$i18n.t('Tokens')}</th>
 						</tr>
 					</thead>
 					<tbody>
@@ -327,10 +328,11 @@
 									</div>
 								</td>
 								<td class="px-3 py-1 text-right">{user.count.toLocaleString()}</td>
+								<td class="px-3 py-1 text-right">{formatNumber(user.total_tokens ?? 0)}</td>
 							</tr>
 						{/each}
 						{#if sortedUsers.length === 0}
-							<tr><td colspan="3" class="px-3 py-2 text-center text-gray-400">{$i18n.t('No data')}</td></tr>
+							<tr><td colspan="4" class="px-3 py-2 text-center text-gray-400">{$i18n.t('No data')}</td></tr>
 						{/if}
 					</tbody>
 				</table>