diff --git a/src/agents/agent-command.ts b/src/agents/agent-command.ts
index 1e2919832ea..3eb7969e02c 100644
--- a/src/agents/agent-command.ts
+++ b/src/agents/agent-command.ts
@@ -1186,6 +1186,7 @@ async function agentCommandInternal(
           opts.bootstrapContextRunKind !== "cron" &&
           opts.bootstrapContextRunKind !== "heartbeat" &&
           !opts.internalEvents?.length,
+        preserveRuntimeModel: opts.bootstrapContextRunKind === "heartbeat",
       });
       sessionEntry = sessionStore[sessionKey] ?? sessionEntry;
     }
diff --git a/src/agents/command/session-store.test.ts b/src/agents/command/session-store.test.ts
index 7df0211bd8a..4fe2908e10d 100644
--- a/src/agents/command/session-store.test.ts
+++ b/src/agents/command/session-store.test.ts
@@ -877,6 +877,149 @@ describe("updateSessionStoreAfterAgentRun", () => {
       expect(sessionStore[sessionKey]?.lastInteractionAt).toBeGreaterThan(lastInteractionAt);
     });
   });
+
+  it("preserves runtime model and contextTokens when preserveRuntimeModel is true (heartbeat bleed fix)", async () => {
+    await withTempSessionStore(async ({ storePath }) => {
+      const cfg = {} as OpenClawConfig;
+      const sessionKey = "agent:main:explicit:test-heartbeat-bleed";
+      const sessionId = "test-heartbeat-bleed-session";
+      const sessionStore: Record<string, SessionEntry> = {
+        [sessionKey]: {
+          sessionId,
+          updatedAt: 1,
+          modelProvider: "anthropic",
+          model: "claude-opus-4-6",
+          contextTokens: 1_000_000,
+        },
+      };
+      await fs.writeFile(storePath, JSON.stringify(sessionStore, null, 2));
+
+      // Heartbeat turn uses a different model
+      const result: EmbeddedPiRunResult = {
+        meta: {
+          durationMs: 500,
+          agentMeta: {
+            sessionId,
+            provider: "ollama",
+            model: "llama3.2:1b",
+            contextTokens: 128_000,
+          },
+        },
+      };
+
+      await updateSessionStoreAfterAgentRun({
+        cfg,
+        sessionId,
+        sessionKey,
+        storePath,
+        sessionStore,
+        defaultProvider: "anthropic",
+        defaultModel: "claude-opus-4-6",
+        result,
+        preserveRuntimeModel: true,
+      });
+
+      // Runtime model and contextTokens should be preserved from the original entry
+      expect(sessionStore[sessionKey]?.model).toBe("claude-opus-4-6");
+      expect(sessionStore[sessionKey]?.modelProvider).toBe("anthropic");
+      expect(sessionStore[sessionKey]?.contextTokens).toBe(1_000_000);
+
+      const persisted = loadSessionStore(storePath);
+      expect(persisted[sessionKey]?.model).toBe("claude-opus-4-6");
+      expect(persisted[sessionKey]?.modelProvider).toBe("anthropic");
+      expect(persisted[sessionKey]?.contextTokens).toBe(1_000_000);
+    });
+  });
+
+  it("falls back to run model when preserveRuntimeModel is true but entry has no prior runtime model", async () => {
+    await withTempSessionStore(async ({ storePath }) => {
+      const cfg = {} as OpenClawConfig;
+      const sessionKey = "agent:main:explicit:test-heartbeat-new-session";
+      const sessionId = "test-heartbeat-new-session-id";
+      const sessionStore: Record<string, SessionEntry> = {
+        [sessionKey]: {
+          sessionId,
+          updatedAt: 1,
+        },
+      };
+      await fs.writeFile(storePath, JSON.stringify(sessionStore, null, 2));
+
+      const result: EmbeddedPiRunResult = {
+        meta: {
+          durationMs: 500,
+          agentMeta: {
+            sessionId,
+            provider: "ollama",
+            model: "llama3.2:1b",
+            contextTokens: 128_000,
+          },
+        },
+      };
+
+      await updateSessionStoreAfterAgentRun({
+        cfg,
+        sessionId,
+        sessionKey,
+        storePath,
+        sessionStore,
+        defaultProvider: "ollama",
+        defaultModel: "llama3.2:1b",
+        result,
+        preserveRuntimeModel: true,
+      });
+
+      // No prior runtime model, so falls back to the run's model
+      expect(sessionStore[sessionKey]?.model).toBe("llama3.2:1b");
+      expect(sessionStore[sessionKey]?.modelProvider).toBe("ollama");
+      expect(sessionStore[sessionKey]?.contextTokens).toBe(128_000);
+    });
+  });
+
+  it("overwrites runtime model when preserveRuntimeModel is false (default behavior)", async () => {
+    await withTempSessionStore(async ({ storePath }) => {
+      const cfg = {} as OpenClawConfig;
+      const sessionKey = "agent:main:explicit:test-normal-overwrite";
+      const sessionId = "test-normal-overwrite-session";
+      const sessionStore: Record<string, SessionEntry> = {
+        [sessionKey]: {
+          sessionId,
+          updatedAt: 1,
+          modelProvider: "anthropic",
+          model: "claude-opus-4-6",
+          contextTokens: 1_000_000,
+        },
+      };
+      await fs.writeFile(storePath, JSON.stringify(sessionStore, null, 2));
+
+      const result: EmbeddedPiRunResult = {
+        meta: {
+          durationMs: 500,
+          agentMeta: {
+            sessionId,
+            provider: "openai",
+            model: "gpt-5.4",
+            contextTokens: 400_000,
+          },
+        },
+      };
+
+      await updateSessionStoreAfterAgentRun({
+        cfg,
+        sessionId,
+        sessionKey,
+        storePath,
+        sessionStore,
+        defaultProvider: "openai",
+        defaultModel: "gpt-5.4",
+        result,
+      });
+
+      // Normal turn: runtime model is updated
+      expect(sessionStore[sessionKey]?.model).toBe("gpt-5.4");
+      expect(sessionStore[sessionKey]?.modelProvider).toBe("openai");
+      expect(sessionStore[sessionKey]?.contextTokens).toBe(400_000);
+    });
+  });
 });
 
 describe("clearCliSessionInStore", () => {
diff --git a/src/agents/command/session-store.ts b/src/agents/command/session-store.ts
index 8d29c5d63e0..9d7f9add0fd 100644
--- a/src/agents/command/session-store.ts
+++ b/src/agents/command/session-store.ts
@@ -49,6 +49,13 @@ export async function updateSessionStoreAfterAgentRun(params: {
   fallbackModel?: string;
   result: RunResult;
   touchInteraction?: boolean;
+  /**
+   * When true, preserve the pre-existing runtime model fields (model,
+   * modelProvider, contextTokens) on the session entry instead of overwriting
+   * them with the model used by this run. Used for heartbeat turns so the
+   * heartbeat model does not "bleed" into the main session's perceived state.
+   */
+  preserveRuntimeModel?: boolean;
 }) {
   const {
     cfg,
@@ -91,6 +98,7 @@ export async function updateSessionStoreAfterAgentRun(params: {
             allowAsyncLoad: false,
           }) ?? DEFAULT_CONTEXT_TOKENS);
 
+  const preserveRuntimeModel = params.preserveRuntimeModel === true;
   const entry = sessionStore[sessionKey] ?? {
     sessionId,
     updatedAt: now,
@@ -102,12 +110,27 @@ export async function updateSessionStoreAfterAgentRun(params: {
     updatedAt: now,
     sessionStartedAt: entry.sessionId === sessionId ? (entry.sessionStartedAt ?? now) : now,
     lastInteractionAt: touchInteraction ? now : entry.lastInteractionAt,
-    contextTokens,
+    ...(preserveRuntimeModel
+      ? {}
+      : {
+          contextTokens,
+        }),
   };
-  setSessionRuntimeModel(next, {
-    provider: providerUsed,
-    model: modelUsed,
-  });
+  if (preserveRuntimeModel) {
+    // Keep the pre-existing runtime model and context window so a background
+    // heartbeat turn using a different model does not bleed into the main
+    // session's perceived state.
+    next.contextTokens = entry.contextTokens ?? contextTokens;
+    setSessionRuntimeModel(next, {
+      provider: entry.modelProvider ?? providerUsed,
+      model: entry.model ?? modelUsed,
+    });
+  } else {
+    setSessionRuntimeModel(next, {
+      provider: providerUsed,
+      model: modelUsed,
+    });
+  }
   if (agentHarnessId) {
     next.agentHarnessId = agentHarnessId;
   } else if (result.meta.executionTrace?.runner === "cli") {