diff --git a/extensions/ollama/src/stream-runtime.test.ts b/extensions/ollama/src/stream-runtime.test.ts
index 72ccf1e28449..47985afb4dca 100644
--- a/extensions/ollama/src/stream-runtime.test.ts
+++ b/extensions/ollama/src/stream-runtime.test.ts
@@ -946,6 +946,29 @@ describe("buildAssistantMessage", () => {
     expect(result.content).toEqual([{ type: "thinking", thinking: "Reasoning output" }]);
   });
 
+  it("drops provider-returned thinking for non-reasoning models", () => {
+    const response = {
+      model: "minimax-m2.7:cloud",
+      created_at: "2026-01-01T00:00:00Z",
+      message: {
+        role: "assistant" as const,
+        content: "",
+        thinking: "Thinking output",
+      },
+      done: true,
+      prompt_eval_count: 10,
+      eval_count: 6,
+    };
+    const result = buildAssistantMessage(response, {
+      ...modelInfo,
+      id: "minimax-m2.7:cloud",
+      reasoning: false,
+    });
+    expect(result.stopReason).toBe("stop");
+    expect(result.content).toEqual([]);
+    expect(result.usage.output).toBe(6);
+  });
+
   it("strips inline reasoning prefix from kimi cloud visible text", () => {
     const response = {
       model: "kimi-k2.6:cloud",
@@ -2717,12 +2740,37 @@ describe("createOllamaStreamFn", () => {
       [
         '{"model":"m","created_at":"t","message":{"role":"assistant","content":"","reasoning":"reasoned"},"done":false}',
         '{"model":"m","created_at":"t","message":{"role":"assistant","content":"","reasoning":" output"},"done":false}',
-        '{"model":"m","created_at":"t","message":{"role":"assistant","content":""},"done":true,"prompt_eval_count":1,"eval_count":2}',
+        '{"model":"m","created_at":"t","message":{"role":"assistant","content":""},"done":true,"prompt_eval_count":1}',
       ],
       [{ type: "thinking", thinking: "reasoned output" }],
     );
   });
 
+  it("drops streamed reasoning chunks for non-reasoning models", async () => {
+    await withMockNdjsonFetch(
+      [
+        '{"model":"m","created_at":"t","message":{"role":"assistant","content":"","reasoning":"reasoned"},"done":false}',
+        '{"model":"m","created_at":"t","message":{"role":"assistant","content":"","reasoning":" output"},"done":false}',
+        '{"model":"m","created_at":"t","message":{"role":"assistant","content":""},"done":true,"prompt_eval_count":1,"eval_count":2}',
+      ],
+      async () => {
+        const stream = await createOllamaTestStream({
+          baseUrl: "http://ollama-host:11434",
+          model: { reasoning: false },
+        });
+        const events = await collectStreamEvents(stream);
+        const doneEvent = events.at(-1);
+        if (!doneEvent || doneEvent.type !== "done") {
+          throw new Error("Expected done event");
+        }
+
+        expect(doneEvent.message.content).toEqual([]);
+        expect(doneEvent.message.usage.output).toBeGreaterThan(0);
+        expect(events.some((event) => event.type === "thinking_delta")).toBe(false);
+      },
+    );
+  });
+
   it("keeps streamed content after earlier reasoning chunks", async () => {
     await expectDoneEventContent(
       [
diff --git a/extensions/ollama/src/stream.ts b/extensions/ollama/src/stream.ts
index caa7d84baff0..c81df5bba874 100644
--- a/extensions/ollama/src/stream.ts
+++ b/extensions/ollama/src/stream.ts
@@ -510,6 +510,7 @@ type StreamModelDescriptor = {
   api: string;
   provider: string;
   id: string;
+  reasoning?: boolean;
 };
 
 type OllamaUsageFallback = {
@@ -666,8 +667,12 @@ function estimateOllamaPromptTokens(params: {
   return estimateTokensFromChars(chars);
 }
 
-function estimateOllamaCompletionTokens(response: OllamaChatResponse): number {
+function estimateOllamaCompletionTokens(
+  response: OllamaChatResponse,
+  extraOutputChars = 0,
+): number {
   const chars =
+    extraOutputChars +
     response.message.content.length +
     (response.message.thinking?.length ?? 0) +
     (response.message.reasoning?.length ?? 0) +
@@ -1021,7 +1026,10 @@ export function buildAssistantMessage(
   options: OllamaAssistantMessageBuildOptions = {},
 ): AssistantMessage {
   const content: (TextContent | ThinkingContent | ToolCall)[] = [];
-  const thinking = response.message.thinking ?? response.message.reasoning ?? "";
+  const thinking =
+    modelInfo.reasoning === false
+      ? ""
+      : (response.message.thinking ?? response.message.reasoning ?? "");
   if (thinking) {
     content.push({ type: "thinking", thinking });
   }
@@ -1206,10 +1214,17 @@ function createRawOllamaStreamFn(
           let accumulatedRawContent = "";
           let accumulatedVisibleContent = "";
           let accumulatedThinking = "";
+          let suppressedThinking = "";
           const accumulatedToolCalls: OllamaToolCall[] = [];
           let finalResponse: OllamaChatResponse | undefined;
           let pendingFinalVisibleContent: string | undefined;
-          const modelInfo = { api: model.api, provider: model.provider, id: model.id };
+          const modelInfo = {
+            api: model.api,
+            provider: model.provider,
+            id: model.id,
+            reasoning: model.reasoning,
+          };
+          const shouldEmitThinking = model.reasoning !== false;
           const visibleContentSanitizer = createOllamaVisibleContentSanitizer(model.id);
           const cooperativeScheduler = createOllamaStreamCooperativeScheduler(options?.signal);
           let streamStarted = false;
@@ -1334,7 +1349,7 @@ function createRawOllamaStreamFn(
           for await (const chunk of parseNdjsonStream(reader)) {
             throwIfOllamaStreamAborted(options?.signal);
             const thinkingDelta = chunk.message?.thinking ?? chunk.message?.reasoning;
-            if (thinkingDelta) {
+            if (thinkingDelta && shouldEmitThinking) {
               if (!streamStarted) {
                 streamStarted = true;
                 const emptyPartial = buildStreamAssistantMessage({
@@ -1369,6 +1384,9 @@ function createRawOllamaStreamFn(
                 partial,
               });
             }
+            if (thinkingDelta && !shouldEmitThinking) {
+              suppressedThinking += thinkingDelta;
+            }
 
             if (chunk.message?.content) {
               const rawDelta = chunk.message.content;
@@ -1419,7 +1437,7 @@ function createRawOllamaStreamFn(
 
           const usageFallback = {
             input: estimateOllamaPromptTokens({ messages: ollamaMessages, tools: ollamaTools }),
-            output: estimateOllamaCompletionTokens(finalResponse),
+            output: estimateOllamaCompletionTokens(finalResponse, suppressedThinking.length),
           };
           const assistantMessage = buildAssistantMessage(finalResponse, modelInfo, usageFallback, {
             ...toolCallNameOptions,
diff --git a/src/agents/embedded-agent-runner/run.incomplete-turn.test.ts b/src/agents/embedded-agent-runner/run.incomplete-turn.test.ts
index a8fdf2a5d130..b23eb979a26b 100644
--- a/src/agents/embedded-agent-runner/run.incomplete-turn.test.ts
+++ b/src/agents/embedded-agent-runner/run.incomplete-turn.test.ts
@@ -1736,6 +1736,29 @@ describe("runEmbeddedAgent incomplete-turn safety", () => {
     expect(retryInstruction).toBe(EMPTY_RESPONSE_RETRY_INSTRUCTION);
   });
 
+  it("retries empty Ollama stop turns when nonzero output tokens were generated", () => {
+    const retryInstruction = resolveEmptyResponseRetryInstruction({
+      provider: "ollama",
+      modelId: "minimax-m2.7:cloud",
+      payloadCount: 0,
+      aborted: false,
+      timedOut: false,
+      attempt: makeAttemptResult({
+        assistantTexts: [],
+        lastAssistant: {
+          role: "assistant",
+          stopReason: "stop",
+          provider: "ollama",
+          model: "minimax-m2.7:cloud",
+          content: [],
+          usage: { input: 100, output: 6, totalTokens: 106 },
+        } as unknown as EmbeddedRunAttemptResult["lastAssistant"],
+      }),
+    });
+
+    expect(retryInstruction).toBe(EMPTY_RESPONSE_RETRY_INSTRUCTION);
+  });
+
   it("does not retry empty turns after an accepted sessions_spawn delivery", () => {
     const retryInstruction = resolveEmptyResponseRetryInstruction({
       provider: "ollama",
diff --git a/src/agents/embedded-agent-runner/run/incomplete-turn.ts b/src/agents/embedded-agent-runner/run/incomplete-turn.ts
index 4b7c0b465e19..cebb5376cfd8 100644
--- a/src/agents/embedded-agent-runner/run/incomplete-turn.ts
+++ b/src/agents/embedded-agent-runner/run/incomplete-turn.ts
@@ -1,3 +1,4 @@
+import { asFiniteNumber } from "@openclaw/normalization-core/number-coercion";
 import { normalizeLowercaseStringOrEmpty } from "@openclaw/normalization-core/string-coerce";
 import { normalizeStringEntries } from "@openclaw/normalization-core/string-normalization";
 import {
@@ -71,6 +72,18 @@ type PlanningOnlyAttempt = Pick<
   | "toolMetas"
 >;
 
+function hasPositiveOutputTokenUsage(message: AgentMessage | null): boolean {
+  if (!message || typeof message !== "object") {
+    return false;
+  }
+  const usage = (message as { usage?: unknown }).usage;
+  if (!usage || typeof usage !== "object") {
+    return false;
+  }
+  const output = asFiniteNumber((usage as { output?: unknown }).output);
+  return output !== undefined && output > 0;
+}
+
 type SilentToolResultAttempt = Pick<
   EmbeddedRunAttemptResult,
   | "clientToolCalls"
@@ -660,7 +673,8 @@ export function resolveEmptyResponseRetryInstruction(params: {
     assistant?.stopReason === "stop" &&
     OLLAMA_INCOMPLETE_TURN_PROVIDER_ID_PATTERN.test(
       normalizeLowercaseStringOrEmpty(params.provider ?? ""),
-    )
+    ) &&
+    !hasPositiveOutputTokenUsage(assistant)
   ) {
     return null;
   }