diff --git a/.changeset/vertex-embedding-default-options.md b/.changeset/vertex-embedding-default-options.md
new file mode 100644
index 000000000000..1979d0003d63
--- /dev/null
+++ b/.changeset/vertex-embedding-default-options.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/google-vertex': patch
+---
+
+fix(provider/google-vertex): support default embedding model options
diff --git a/packages/google-vertex/src/google-vertex-embedding-model.test.ts b/packages/google-vertex/src/google-vertex-embedding-model.test.ts
index fb12e7767eb0..023e536f3896 100644
--- a/packages/google-vertex/src/google-vertex-embedding-model.test.ts
+++ b/packages/google-vertex/src/google-vertex-embedding-model.test.ts
@@ -136,6 +136,67 @@ describe('GoogleVertexEmbeddingModel', () => {
       `);
     });
 
+    it('should pass default provider model settings', async () => {
+      const provider = createGoogleVertex({
+        project: 'test-project',
+        location: 'us-central1',
+      });
+
+      await provider
+        .textEmbeddingModel(mockModelId, { outputDimensionality: 1536 })
+        .doEmbed({
+          values: testValues,
+        });
+
+      expect(await server.calls[0].requestBodyJson).toMatchInlineSnapshot(`
+        {
+          "instances": [
+            {
+              "content": "test text one",
+            },
+            {
+              "content": "test text two",
+            },
+          ],
+          "parameters": {
+            "outputDimensionality": 1536,
+          },
+        }
+      `);
+    });
+
+    it('should prefer per-call provider options over default model settings', async () => {
+      const modelWithDefaultSettings = new GoogleVertexEmbeddingModel(
+        mockModelId,
+        mockConfig,
+        { autoTruncate: true, outputDimensionality: 1536 },
+      );
+
+      await modelWithDefaultSettings.doEmbed({
+        values: testValues,
+        providerOptions: {
+          googleVertex: { outputDimensionality: 768 },
+        },
+      });
+
+      expect(await server.calls[0].requestBodyJson).toMatchInlineSnapshot(`
+        {
+          "instances": [
+            {
+              "content": "test text one",
+            },
+            {
+              "content": "test text two",
+            },
+          ],
+          "parameters": {
+            "autoTruncate": true,
+            "outputDimensionality": 768,
+          },
+        }
+      `);
+    });
+
     it('should accept googleVertex as provider options key', async () => {
       await model.doEmbed({
         values: testValues,
diff --git a/packages/google-vertex/src/google-vertex-embedding-model.ts b/packages/google-vertex/src/google-vertex-embedding-model.ts
index 61309ad5dc1e..fe6d0f69e497 100644
--- a/packages/google-vertex/src/google-vertex-embedding-model.ts
+++ b/packages/google-vertex/src/google-vertex-embedding-model.ts
@@ -17,16 +17,22 @@ import { googleVertexFailedResponseHandler } from './google-vertex-error';
 import {
   googleVertexEmbeddingModelOptions,
   type GoogleVertexEmbeddingModelId,
+  type GoogleVertexEmbeddingModelOptions,
 } from './google-vertex-embedding-model-options';
 import type { GoogleVertexConfig } from './google-vertex-config';
 
+interface GoogleVertexEmbeddingConfig extends GoogleVertexConfig {
+  settings?: GoogleVertexEmbeddingModelOptions;
+}
+
 export class GoogleVertexEmbeddingModel implements EmbeddingModelV4 {
   readonly specificationVersion = 'v4';
   readonly modelId: GoogleVertexEmbeddingModelId;
   readonly maxEmbeddingsPerCall = 2048;
   readonly supportsParallelCalls = true;
 
-  private readonly config: GoogleVertexConfig;
+  private readonly config: GoogleVertexEmbeddingConfig;
+  private readonly settings: GoogleVertexEmbeddingModelOptions;
 
   static [WORKFLOW_SERIALIZE](model: GoogleVertexEmbeddingModel) {
     return serializeModelOptions({
@@ -37,7 +43,7 @@ export class GoogleVertexEmbeddingModel implements EmbeddingModelV4 {
 
   static [WORKFLOW_DESERIALIZE](options: {
     modelId: string;
-    config: GoogleVertexConfig;
+    config: GoogleVertexEmbeddingConfig;
   }) {
     return new GoogleVertexEmbeddingModel(options.modelId, options.config);
   }
@@ -48,10 +54,18 @@ export class GoogleVertexEmbeddingModel implements EmbeddingModelV4 {
 
   constructor(
     modelId: GoogleVertexEmbeddingModelId,
-    config: GoogleVertexConfig,
+    config: GoogleVertexEmbeddingConfig,
+    settings?: GoogleVertexEmbeddingModelOptions,
   ) {
     this.modelId = modelId;
-    this.config = config;
+    this.config =
+      settings == null
+        ? config
+        : {
+            ...config,
+            settings,
+          };
+    this.settings = this.config.settings ?? {};
   }
 
   async doEmbed({
@@ -84,7 +98,10 @@ export class GoogleVertexEmbeddingModel implements EmbeddingModelV4 {
       });
     }
 
-    googleOptions = googleOptions ?? {};
+    googleOptions = {
+      ...this.settings,
+      ...(googleOptions ?? {}),
+    };
 
     if (values.length > this.maxEmbeddingsPerCall) {
       throw new TooManyEmbeddingValuesForCallError({
diff --git a/packages/google-vertex/src/google-vertex-provider-base.test.ts b/packages/google-vertex/src/google-vertex-provider-base.test.ts
index 571a9db759e8..2547159bf17d 100644
--- a/packages/google-vertex/src/google-vertex-provider-base.test.ts
+++ b/packages/google-vertex/src/google-vertex-provider-base.test.ts
@@ -111,6 +111,34 @@ describe('google-vertex-provider-base', () => {
     );
   });
 
+  it('should create embedding models with default model settings', () => {
+    const provider = createGoogleVertex({
+      project: 'test-project',
+      location: 'test-location',
+    });
+    const settings = { outputDimensionality: 1536 };
+
+    provider.embeddingModel('test-embedding-model', settings);
+    provider.textEmbeddingModel('test-text-embedding-model', settings);
+
+    expect(GoogleVertexEmbeddingModel).toHaveBeenNthCalledWith(
+      1,
+      'test-embedding-model',
+      expect.objectContaining({
+        provider: 'google.vertex.embedding',
+      }),
+      settings,
+    );
+    expect(GoogleVertexEmbeddingModel).toHaveBeenNthCalledWith(
+      2,
+      'test-text-embedding-model',
+      expect.objectContaining({
+        provider: 'google.vertex.embedding',
+      }),
+      settings,
+    );
+  });
+
   it('should pass custom headers to the model constructor', () => {
     const customHeaders = { 'Custom-Header': 'custom-value' };
     const provider = createGoogleVertex({
diff --git a/packages/google-vertex/src/google-vertex-provider-base.ts b/packages/google-vertex/src/google-vertex-provider-base.ts
index 306c1468e33d..e3b4b652c2e7 100644
--- a/packages/google-vertex/src/google-vertex-provider-base.ts
+++ b/packages/google-vertex/src/google-vertex-provider-base.ts
@@ -19,7 +19,10 @@ import {
 import { VERSION } from './version';
 import type { GoogleVertexConfig } from './google-vertex-config';
 import { GoogleVertexEmbeddingModel } from './google-vertex-embedding-model';
-import type { GoogleVertexEmbeddingModelId } from './google-vertex-embedding-model-options';
+import type {
+  GoogleVertexEmbeddingModelId,
+  GoogleVertexEmbeddingModelOptions,
+} from './google-vertex-embedding-model-options';
 import { GoogleVertexImageModel } from './google-vertex-image-model';
 import type { GoogleVertexImageModelId } from './google-vertex-image-settings';
 import type { GoogleVertexModelId } from './google-vertex-options';
@@ -67,11 +70,20 @@ export interface GoogleVertexProvider extends ProviderV4 {
 
   tools: typeof googleVertexTools;
 
+  /**
+   * Creates a model for text embeddings.
+   */
+  embeddingModel(
+    modelId: GoogleVertexEmbeddingModelId,
+    settings?: GoogleVertexEmbeddingModelOptions,
+  ): GoogleVertexEmbeddingModel;
+
   /**
    * @deprecated Use `embeddingModel` instead.
    */
   textEmbeddingModel(
     modelId: GoogleVertexEmbeddingModelId,
+    settings?: GoogleVertexEmbeddingModelOptions,
   ): GoogleVertexEmbeddingModel;
 
   /**
@@ -206,8 +218,17 @@ export function createGoogleVertex(
     });
   };
 
-  const createEmbeddingModel = (modelId: GoogleVertexEmbeddingModelId) =>
-    new GoogleVertexEmbeddingModel(modelId, createConfig('embedding'));
+  const createEmbeddingModel = (
+    modelId: GoogleVertexEmbeddingModelId,
+    settings?: GoogleVertexEmbeddingModelOptions,
+  ) =>
+    settings == null
+      ? new GoogleVertexEmbeddingModel(modelId, createConfig('embedding'))
+      : new GoogleVertexEmbeddingModel(
+          modelId,
+          createConfig('embedding'),
+          settings,
+        );
 
   const createImageModel = (modelId: GoogleVertexImageModelId) =>
     new GoogleVertexImageModel(modelId, {