diff --git a/src/models/generative-model.test.ts b/src/models/generative-model.test.ts
index e6c6fd85d..75c382bcb 100644
--- a/src/models/generative-model.test.ts
+++ b/src/models/generative-model.test.ts
@@ -28,6 +28,7 @@ import {
 import { getMockResponse } from "../../test-utils/mock-response";
 import { match, restore, stub } from "sinon";
 import * as request from "../requests/request";
+import { Task } from '../requests/request';
 
 use(sinonChai);
 
@@ -463,3 +464,120 @@ describe("GenerativeModel", () => {
     restore();
   });
 });
+
+describe('GenerativeModel - generateAnswer()', () => {
+  const API_KEY = 'test-api-key';
+  const MODEL_NAME = 'models/aqa';
+  const TEST_REQUEST = {
+    input: "What's the capital of France?",
+    sources: [{
+      title: "World Facts",
+      url: "https://example.com",
+      content: "Paris is the capital of France."
+    }]
+  };
+
+  afterEach(() => {
+    restore();
+  });
+
+  it('should make correct API request', async () => {
+    const mockResponse = {
+      answer: "Paris",
+      attributedPassages: [{
+        text: "Paris is the capital of France.",
+        source: {
+          title: "World Facts",
+          url: "https://example.com",
+          content: "Paris is the capital of France."
+        }
+      }],
+      confidenceScore: 0.95
+    };
+
+    const makeRequestStub = stub(request, 'makeModelRequest')
+      .resolves({
+        json: () => Promise.resolve(mockResponse)
+      } as Response);
+
+    const model = new GenerativeModel(API_KEY, { model: MODEL_NAME });
+    const result = await model.generateAnswer(TEST_REQUEST);
+
+    expect(makeRequestStub).calledWith(
+      'models/aqa',
+      Task.GENERATE_ANSWER,
+      API_KEY,
+      false,
+      JSON.stringify(TEST_REQUEST),
+      {}
+    );
+
+    expect(result).to.deep.equal({
+      answer: "Paris",
+      attributedPassages: [{
+        text: "Paris is the capital of France.",
+        source: {
+          title: "World Facts",
+          url: "https://example.com",
+          content: "Paris is the capital of France."
+        }
+      }],
+      confidenceScore: 0.95
+    });
+  });
+
+  it('should handle API errors', async () => {
+    const errorResponse = {
+      error: {
+        message: "Invalid input format",
+        code: 400
+      }
+    };
+
+    stub(request, 'makeModelRequest').resolves({
+      json: () => Promise.resolve(errorResponse)
+    } as Response);
+
+    const model = new GenerativeModel(API_KEY, { model: MODEL_NAME });
+    
+    try {
+      await model.generateAnswer(TEST_REQUEST);
+      expect.fail('Should have thrown error');
+    } catch (e) {
+      expect(e.message).to.include('AQA API Error');
+      expect(e.response).to.deep.equal(errorResponse);
+    }
+  });
+
+  it('should validate required input field', async () => {
+    const model = new GenerativeModel(API_KEY, { model: MODEL_NAME });
+    
+    try {
+      // @ts-expect-error Testing invalid input
+      await model.generateAnswer({ sources: [] });
+      expect.fail('Should have thrown error');
+    } catch (e) {
+      expect(e.message).to.include("must contain 'input' field");
+    }
+  });
+
+  it('should handle partial response data', async () => {
+    const partialResponse = {
+      answer: "Paris",
+      // Missing attributedPassages and confidenceScore
+    };
+
+    stub(request, 'makeModelRequest').resolves({
+      json: () => Promise.resolve(partialResponse)
+    } as Response);
+
+    const model = new GenerativeModel(API_KEY, { model: MODEL_NAME });
+    const result = await model.generateAnswer(TEST_REQUEST);
+
+    expect(result).to.deep.equal({
+      answer: "Paris",
+      attributedPassages: [],
+      confidenceScore: 0
+    });
+  });
+});
diff --git a/src/models/generative-model.ts b/src/models/generative-model.ts
index 7cd3fe622..77af364da 100644
--- a/src/models/generative-model.ts
+++ b/src/models/generative-model.ts
@@ -28,6 +28,8 @@ import {
   CountTokensResponse,
   EmbedContentRequest,
   EmbedContentResponse,
+  GenerateAnswerRequest,
+  GenerateAnswerResponse,
   GenerateContentRequest,
   GenerateContentResult,
   GenerateContentStreamResult,
@@ -50,6 +52,9 @@ import {
   formatGenerateContentInput,
   formatSystemInstruction,
 } from "../requests/request-helpers";
+import { Task, makeModelRequest } from "../requests/request";
+import { processAqaResponse } from "../requests/response-helpers";
+import { GoogleGenerativeAIRequestInputError, GoogleGenerativeAIResponseError } from "../errors";
 
 /**
  * Class for generative model APIs.
@@ -175,6 +180,85 @@ export class GenerativeModel {
     );
   }
 
+  /**
+   * Generates an attributed answer based on provided sources and input question.
+   * 
+   * @public
+   * 
+   * @param request - The request parameters containing:
+   *  - `input`: Required. The question to be answered
+   *  - `sources`: Array of attributed sources to reference
+   *  - `temperature`: Optional. Controls randomness (0.0-1.0)
+   * 
+   * @param requestOptions - Optional. Overrides for request configuration
+   * 
+   * @returns Promise resolving to {@link GenerateAnswerResponse} containing:
+   *  - `answer`: The generated answer text
+   *  - `attributedPassages`: Array of source passages used
+   *  - `confidenceScore`: Model's confidence in the answer (0.0-1.0)
+   * 
+   * @throws {GoogleGenerativeAIRequestInputError} If invalid request format
+   * @throws {GoogleGenerativeAIResponseError} If API returns error
+   * 
+   * @example
+   * ```
+   * const model = genAI.getGenerativeModel({ model: 'models/aqa' });
+   * const request = {
+   *   input: "What's the capital of France?",
+   *   sources: [{
+   *     title: "World Factbook",
+   *     url: "https://example.com/factbook",
+   *     content: "Paris is the administrative and cultural center of France."
+   *   }]
+   * };
+   * 
+   * try {
+   *   const result = await model.generateAnswer(request);
+   *   console.log(result.answer); // "Paris"
+   *   console.log(result.attributedPassages[0].source.title); // "World Factbook"
+   * } catch (err) {
+   *   console.error(err);
+   * }
+   * ```
+   */
+  async generateAnswer(
+    request: GenerateAnswerRequest,
+    requestOptions: SingleRequestOptions = {},
+  ): Promise<GenerateAnswerResponse> {
+    const generativeModelRequestOptions: SingleRequestOptions = {
+      ...this._requestOptions,
+      ...requestOptions,
+    };
+    
+    if (!request.input) {
+      throw new GoogleGenerativeAIRequestInputError(
+        "GenerateAnswerRequest must contain 'input' field"
+      );
+    }
+
+    try {
+      const response = await makeModelRequest(
+        'models/aqa', // Hardcode AQA model path
+        Task.GENERATE_ANSWER,
+        this.apiKey,
+        false,
+        JSON.stringify(request),
+        generativeModelRequestOptions
+      );
+      
+      const responseJson = await response.json();
+      return processAqaResponse(responseJson);
+    } catch (e) {
+      if (e instanceof GoogleGenerativeAIResponseError) {
+        throw new GoogleGenerativeAIResponseError<GenerateAnswerResponse>(
+          `AQA API Error: ${e.message}`,
+          e.response
+        );
+      }
+      throw e;
+    }
+  }
+
   /**
    * Counts the tokens in the provided request.
    *
diff --git a/src/requests/request.ts b/src/requests/request.ts
index 64c3703f9..649bd34db 100644
--- a/src/requests/request.ts
+++ b/src/requests/request.ts
@@ -37,6 +37,7 @@ const PACKAGE_LOG_HEADER = "genai-js";
 export enum Task {
   GENERATE_CONTENT = "generateContent",
   STREAM_GENERATE_CONTENT = "streamGenerateContent",
+  GENERATE_ANSWER = "generateAnswer",
   COUNT_TOKENS = "countTokens",
   EMBED_CONTENT = "embedContent",
   BATCH_EMBED_CONTENTS = "batchEmbedContents",
diff --git a/src/requests/response-helpers.ts b/src/requests/response-helpers.ts
index 2554d001a..4524aac09 100644
--- a/src/requests/response-helpers.ts
+++ b/src/requests/response-helpers.ts
@@ -16,9 +16,11 @@
  */
 
 import {
+  AttributedPassage,
   EnhancedGenerateContentResponse,
   FinishReason,
   FunctionCall,
+  GenerateAnswerResponse,
   GenerateContentCandidate,
   GenerateContentResponse,
 } from "../../types";
@@ -206,3 +208,25 @@ export function formatBlockErrorMessage(
   }
   return message;
 }
+
+export function processAqaResponse(response: GenerateAnswerResponse): GenerateAnswerResponse {
+  if (!response.answer) {
+    throw new GoogleGenerativeAIResponseError<typeof response>(
+      "Invalid AQA response format - missing 'answer' field",
+      response
+    );
+  }
+  
+  return {
+    answer: response.answer,
+    attributedPassages: (response.attributedPassages || []).map((p: AttributedPassage) => ({
+      text: p.text,
+      source: {
+        title: p.source?.title || "Unknown",
+        url: p.source?.url || "",
+        content: p.source?.content || ""
+      }
+    })),
+    confidenceScore: response.confidenceScore ?? 0
+  };
+} 
\ No newline at end of file
diff --git a/types/requests.ts b/types/requests.ts
index 81285bc20..a66378e99 100644
--- a/types/requests.ts
+++ b/types/requests.ts
@@ -245,3 +245,30 @@ export interface CodeExecutionTool {
    */
   codeExecution: {};
 }
+
+/**
+ * Request sent to `generateAnswer` endpoint.
+ * @public
+ */
+export interface GenerateAnswerRequest {
+  input: string;
+  sources?: AttributedSource[];
+  temperature?: number;
+}
+
+export interface AttributedSource {
+  title: string;
+  url: string;
+  content: string;
+}
+
+export interface GenerateAnswerResponse {
+  answer: string;
+  attributedPassages: AttributedPassage[];
+  confidenceScore: number;
+}
+
+export interface AttributedPassage {
+  text: string;
+  source: AttributedSource;
+}
\ No newline at end of file