diff --git a/js/ai/src/model/middleware.ts b/js/ai/src/model/middleware.ts
index f7da057f78..e258d17f76 100644
--- a/js/ai/src/model/middleware.ts
+++ b/js/ai/src/model/middleware.ts
@@ -322,7 +322,7 @@ const DEFAULT_FALLBACK_STATUSES: StatusName[] = [
  *
  * ```ts
  * const { text } = await ai.generate({
- *   model: googleAI.model('gemini-2.5-pro'),
+ *   model: googleAI.model('gemini-pro-latest'),
  *   prompt: 'You are a helpful AI assistant named Walt, say hello',
  *   use: [
  *     retry({
@@ -406,11 +406,11 @@ export interface FallbackOptions {
  *
  * ```ts
  * const { text } = await ai.generate({
- *   model: googleAI.model('gemini-2.5-pro'),
+ *   model: googleAI.model('gemini-pro-latest'),
  *   prompt: 'You are a helpful AI assistant named Walt, say hello',
  *   use: [
  *     fallback(ai, {
- *       models: [googleAI.model('gemini-2.5-flash')],
+ *       models: [googleAI.model('gemini-flash-latest')],
  *       statuses: ['RESOURCE_EXHAUSTED'],
  *     }),
  *   ],
diff --git a/js/doc-snippets/src/dotprompt/index.ts b/js/doc-snippets/src/dotprompt/index.ts
index 7854487b7f..ba9d058522 100644
--- a/js/doc-snippets/src/dotprompt/index.ts
+++ b/js/doc-snippets/src/dotprompt/index.ts
@@ -153,7 +153,7 @@ function fn09() {
   // [START definePromptTempl]
   const myPrompt = ai.definePrompt({
     name: 'myPrompt',
-    model: 'googleai/gemini-2.5-flash',
+    model: 'googleai/gemini-flash-latest',
     input: {
       schema: z.object({
         name: z.string(),
@@ -168,7 +168,7 @@ function fn10() {
   // [START definePromptFn]
   const myPrompt = ai.definePrompt({
     name: 'myPrompt',
-    model: 'googleai/gemini-2.5-flash',
+    model: 'googleai/gemini-flash-latest',
     input: {
       schema: z.object({
         name: z.string(),
diff --git a/js/doc-snippets/src/flows/index.ts b/js/doc-snippets/src/flows/index.ts
index 9bd164df45..d0424e423f 100644
--- a/js/doc-snippets/src/flows/index.ts
+++ b/js/doc-snippets/src/flows/index.ts
@@ -29,7 +29,7 @@ export const menuSuggestionFlow = ai.defineFlow(
   },
   async (restaurantTheme) => {
     const { text } = await ai.generate({
-      model: googleAI.model('gemini-2.5-flash'),
+      model: googleAI.model('gemini-flash-latest'),
       prompt: `Invent a menu item for a ${restaurantTheme} themed restaurant.`,
     });
     return text;
@@ -51,7 +51,7 @@ export const menuSuggestionFlowWithSchema = ai.defineFlow(
   },
   async (restaurantTheme) => {
     const { output } = await ai.generate({
-      model: googleAI.model('gemini-2.5-flash'),
+      model: googleAI.model('gemini-flash-latest'),
       prompt: `Invent a menu item for a ${restaurantTheme} themed restaurant.`,
       output: { schema: MenuItemSchema },
     });
@@ -72,7 +72,7 @@ export const menuSuggestionFlowMarkdown = ai.defineFlow(
   },
   async (restaurantTheme) => {
     const { output } = await ai.generate({
-      model: googleAI.model('gemini-2.5-flash'),
+      model: googleAI.model('gemini-flash-latest'),
       prompt: `Invent a menu item for a ${restaurantTheme} themed restaurant.`,
       output: { schema: MenuItemSchema },
     });
@@ -94,7 +94,7 @@ export const menuSuggestionStreamingFlow = ai.defineFlow(
   },
   async (restaurantTheme, { sendChunk }) => {
     const response = await ai.generateStream({
-      model: googleAI.model('gemini-2.5-flash'),
+      model: googleAI.model('gemini-flash-latest'),
       prompt: `Invent a menu item for a ${restaurantTheme} themed restaurant.`,
     });
 
@@ -178,7 +178,7 @@ Today's menu
       }
     );
     const { text } = await ai.generate({
-      model: googleAI.model('gemini-2.5-flash'),
+      model: googleAI.model('gemini-flash-latest'),
       system: "Help the user answer questions about today's menu.",
       prompt: input,
       docs: [{ content: [{ text: menu }] }],
diff --git a/js/doc-snippets/src/index.ts b/js/doc-snippets/src/index.ts
index 3e3ed4e8fd..94f5a734a8 100644
--- a/js/doc-snippets/src/index.ts
+++ b/js/doc-snippets/src/index.ts
@@ -19,7 +19,7 @@ import { genkit } from 'genkit';
 
 const ai = genkit({
   plugins: [googleAI()],
-  model: googleAI.model('gemini-2.5-flash'),
+  model: googleAI.model('gemini-flash-latest'),
 });
 
 async function main() {
diff --git a/js/doc-snippets/src/models/index.ts b/js/doc-snippets/src/models/index.ts
index 816f6aab63..b77ea4830c 100644
--- a/js/doc-snippets/src/models/index.ts
+++ b/js/doc-snippets/src/models/index.ts
@@ -19,13 +19,13 @@ import { genkit } from 'genkit';
 
 const ai = genkit({
   plugins: [googleAI()],
-  model: googleAI.model('gemini-2.5-flash'),
+  model: googleAI.model('gemini-flash-latest'),
 });
 
 async function fn01() {
   // [START ex01]
   const { text } = await ai.generate({
-    model: googleAI.model('gemini-2.5-flash'),
+    model: googleAI.model('gemini-flash-latest'),
     prompt: 'Invent a menu item for a pirate themed restaurant.',
   });
   // [END ex01]
diff --git a/js/doc-snippets/src/models/minimal.ts b/js/doc-snippets/src/models/minimal.ts
index 7bc4905fc6..fbc4600b0c 100644
--- a/js/doc-snippets/src/models/minimal.ts
+++ b/js/doc-snippets/src/models/minimal.ts
@@ -20,7 +20,7 @@ import { genkit } from 'genkit';
 
 const ai = genkit({
   plugins: [googleAI()],
-  model: googleAI.model('gemini-2.5-flash'),
+  model: googleAI.model('gemini-flash-latest'),
 });
 
 async function main() {
diff --git a/js/doc-snippets/src/multi-agent/simple.ts b/js/doc-snippets/src/multi-agent/simple.ts
index 6639f6699d..0330b23b07 100644
--- a/js/doc-snippets/src/multi-agent/simple.ts
+++ b/js/doc-snippets/src/multi-agent/simple.ts
@@ -64,7 +64,7 @@ const reservationTool = ai.defineTool(
 
 // [START chat]
 const chat = ai.chat({
-  model: googleAI.model('gemini-2.5-pro'),
+  model: googleAI.model('gemini-pro-latest'),
   system:
     "You are an AI customer service agent for Pavel's Cafe. Use the tools " +
     'available to you to help the customer. If you cannot help the ' +
diff --git a/js/genkit/src/genkit.ts b/js/genkit/src/genkit.ts
index 2f7d4ea005..01333ae7d9 100644
--- a/js/genkit/src/genkit.ts
+++ b/js/genkit/src/genkit.ts
@@ -681,7 +681,7 @@ export class Genkit implements HasRegistry {
    * ```ts
    * const ai = genkit({
    *   plugins: [googleAI()],
-   *   model: googleAI.model('gemini-2.5-flash'), // default model
+   *   model: googleAI.model('gemini-flash-latest'), // default model
    * })
    *
    * const { text } = await ai.generate('hi');
@@ -697,7 +697,7 @@ export class Genkit implements HasRegistry {
    * ```ts
    * const ai = genkit({
    *   plugins: [googleAI()],
-   *   model: googleAI.model('gemini-2.5-flash'), // default model
+   *   model: googleAI.model('gemini-flash-latest'), // default model
    * })
    *
    * const { text } = await ai.generate([
@@ -731,7 +731,7 @@ export class Genkit implements HasRegistry {
    *   ],
    *   messages: conversationHistory,
    *   tools: [ userInfoLookup ],
-   *   model: googleAI.model('gemini-2.5-flash'),
+   *   model: googleAI.model('gemini-flash-latest'),
    * });
    * ```
    */
@@ -773,7 +773,7 @@ export class Genkit implements HasRegistry {
    * ```ts
    * const ai = genkit({
    *   plugins: [googleAI()],
-   *   model: googleAI.model('gemini-2.5-flash'), // default model
+   *   model: googleAI.model('gemini-flash-latest'), // default model
    * })
    *
    * const { response, stream } = ai.generateStream('hi');
@@ -793,7 +793,7 @@ export class Genkit implements HasRegistry {
    * ```ts
    * const ai = genkit({
    *   plugins: [googleAI()],
-   *   model: googleAI.model('gemini-2.5-flash'), // default model
+   *   model: googleAI.model('gemini-flash-latest'), // default model
    * })
    *
    * const { response, stream } = ai.generateStream([
@@ -831,7 +831,7 @@ export class Genkit implements HasRegistry {
    *   ],
    *   messages: conversationHistory,
    *   tools: [ userInfoLookup ],
-   *   model: googleAI.model('gemini-2.5-flash'),
+   *   model: googleAI.model('gemini-flash-latest'),
    * });
    * for await (const chunk of stream) {
    *   console.log(chunk.text);
diff --git a/js/plugins/google-genai/src/googleai/gemini.ts b/js/plugins/google-genai/src/googleai/gemini.ts
index e12a6884ab..9ddd67d279 100644
--- a/js/plugins/google-genai/src/googleai/gemini.ts
+++ b/js/plugins/google-genai/src/googleai/gemini.ts
@@ -436,6 +436,9 @@ const GENERIC_GEMMA_MODEL = commonRef(
 );
 
 const KNOWN_GEMINI_MODELS = {
+  'gemini-pro-latest': commonRef('gemini-pro-latest'),
+  'gemini-flash-latest': commonRef('gemini-flash-latest'),
+  'gemini-flash-lite-latest': commonRef('gemini-flash-lite-latest'),
   'gemini-3.1-pro-preview-customtools': commonRef(
     'gemini-3.1-pro-preview-customtools'
   ),
diff --git a/js/plugins/vertexai/src/modelgarden/v2/anthropic.ts b/js/plugins/vertexai/src/modelgarden/v2/anthropic.ts
index 0911cae891..a218a7c641 100644
--- a/js/plugins/vertexai/src/modelgarden/v2/anthropic.ts
+++ b/js/plugins/vertexai/src/modelgarden/v2/anthropic.ts
@@ -91,7 +91,6 @@ export const KNOWN_MODELS = {
   'claude-opus-4-5@20251101': commonRef('claude-opus-4-5@20251101'),
   'claude-opus-4-1@20250805': commonRef('claude-opus-4-1@20250805'),
   'claude-opus-4@20250514': commonRef('claude-opus-4@20250514'),
-  'claude-3-haiku@20240307': commonRef('claude-3-haiku@20240307'),
 };
 export type KnownModels = keyof typeof KNOWN_MODELS;
 export type AnthropicModelName = `claude-${string}`;
diff --git a/js/plugins/vertexai/tests/modelgarden/v2/index_test.ts b/js/plugins/vertexai/tests/modelgarden/v2/index_test.ts
index ac88d2c463..b0c7fa47a9 100644
--- a/js/plugins/vertexai/tests/modelgarden/v2/index_test.ts
+++ b/js/plugins/vertexai/tests/modelgarden/v2/index_test.ts
@@ -34,7 +34,7 @@ import { modelName as stripPrefix } from '../../../src/modelgarden/v2/utils';
 
 describe('vertexModelGarden.model helper', () => {
   it('should return an Anthropic model reference', () => {
-    const modelName = 'claude-3-haiku@20240307';
+    const modelName = 'claude-haiku-4-5@20251001';
     const model = vertexModelGarden.model(modelName);
     assert.ok(isAnthropicModelName(stripPrefix(model.name)));
     assert.strictEqual(model.name, `vertex-model-garden/${modelName}`);
@@ -42,7 +42,7 @@ describe('vertexModelGarden.model helper', () => {
   });
 
   it('should return a Mistral model reference', () => {
-    const modelName = 'mistral-large-2411';
+    const modelName = 'mistral-medium-3';
     const model = vertexModelGarden.model(modelName);
     assert.ok(isMistralModelName(stripPrefix(model.name)));
     assert.strictEqual(model.name, `vertex-model-garden/${modelName}`);
@@ -50,7 +50,7 @@ describe('vertexModelGarden.model helper', () => {
   });
 
   it('should return a Llama model reference', () => {
-    const modelName = 'meta/llama-3.1-8b-instruct-maas';
+    const modelName = 'meta/llama-4-maverick-17b-128e-instruct-maas';
     const model = vertexModelGarden.model(modelName);
     assert.ok(isLlamaModelName(stripPrefix(model.name)));
     assert.strictEqual(model.name, `vertex-model-garden/${modelName}`);
diff --git a/js/testapps/basic-gemini/src/index.ts b/js/testapps/basic-gemini/src/index.ts
index 15df34f8a4..eaf19a100c 100644
--- a/js/testapps/basic-gemini/src/index.ts
+++ b/js/testapps/basic-gemini/src/index.ts
@@ -43,7 +43,7 @@ const ai = genkit({
 
 ai.defineFlow('basic-hi', async () => {
   const { text } = await ai.generate({
-    model: googleAI.model('gemini-2.5-flash'),
+    model: googleAI.model('gemini-flash-lite-latest'),
     prompt: 'You are a helpful AI assistant named Walt, say hello',
   });
 
@@ -52,7 +52,7 @@ ai.defineFlow('basic-hi', async () => {
 
 ai.defineFlow('basic-hi-with-retry', async () => {
   const { text } = await ai.generate({
-    model: googleAI.model('gemini-2.5-pro'),
+    model: googleAI.model('gemini-pro-latest'),
     prompt: 'You are a helpful AI assistant named Walt, say hello',
     use: [
       retry({
@@ -71,7 +71,7 @@ ai.defineFlow('basic-hi-with-fallback', async () => {
     prompt: 'You are a helpful AI assistant named Walt, say hello',
     use: [
       fallback(ai, {
-        models: [googleAI.model('gemini-2.5-flash')],
+        models: [googleAI.model('gemini-flash-latest')],
         statuses: ['UNKNOWN'],
       }),
     ],
@@ -114,7 +114,7 @@ ai.defineFlow('multimodal-input', async () => {
   const photoBase64 = fs.readFileSync('photo.jpg', { encoding: 'base64' });
 
   const { text } = await ai.generate({
-    model: googleAI.model('gemini-2.5-flash'),
+    model: googleAI.model('gemini-flash-latest'),
     prompt: [
       { text: 'describe this photo' },
       {
@@ -132,7 +132,7 @@ ai.defineFlow('multimodal-input', async () => {
 // YouTube videos
 ai.defineFlow('youtube-videos', async (_, { sendChunk }) => {
   const { text } = await ai.generate({
-    model: googleAI.model('gemini-2.5-flash'),
+    model: googleAI.model('gemini-flash-latest'),
     prompt: [
       {
         text: 'transcribe this video',
@@ -152,7 +152,7 @@ ai.defineFlow('youtube-videos', async (_, { sendChunk }) => {
 // streaming
 ai.defineFlow('streaming', async (_, { sendChunk }) => {
   const { stream } = ai.generateStream({
-    model: googleAI.model('gemini-2.5-flash'),
+    model: googleAI.model('gemini-flash-latest'),
     prompt: 'Write a poem about AI.',
   });
 
@@ -168,7 +168,7 @@ ai.defineFlow('streaming', async (_, { sendChunk }) => {
 // Search grounding
 ai.defineFlow('search-grounding', async () => {
   const { text, raw } = await ai.generate({
-    model: googleAI.model('gemini-2.5-flash'),
+    model: googleAI.model('gemini-flash-latest'),
     prompt: 'Who is Albert Einstein?',
     config: {
       tools: [{ googleSearch: {} }],
@@ -184,7 +184,7 @@ ai.defineFlow('search-grounding', async () => {
 // Url context
 ai.defineFlow('url-context', async () => {
   const { text, raw } = await ai.generate({
-    model: googleAI.model('gemini-2.5-flash'),
+    model: googleAI.model('gemini-flash-latest'),
     prompt:
       'Compare the ingredients and cooking times from the recipes at ' +
       'https://www.foodnetwork.com/recipes/ina-garten/perfect-roast-chicken-recipe-1940592 ' +
@@ -209,7 +209,7 @@ ai.defineFlow('file-search', async () => {
 
   // Use the file search store in your generate request
   const { text, raw } = await ai.generate({
-    model: googleAI.model('gemini-2.5-flash'),
+    model: googleAI.model('gemini-flash-latest'),
     prompt: "What is the character's name in the story?",
     config: {
       fileSearch: {
@@ -289,7 +289,7 @@ ai.defineFlow(
   },
   async (location, { sendChunk }) => {
     const { response, stream } = ai.generateStream({
-      model: googleAI.model('gemini-2.5-flash'),
+      model: googleAI.model('gemini-flash-latest'),
       config: {
         temperature: 1,
       },
@@ -314,7 +314,7 @@ ai.defineFlow(
   },
   async (_, { sendChunk }) => {
     const { response, stream } = ai.generateStream({
-      model: googleAI.model('gemini-3.1-pro-preview'),
+      model: googleAI.model('gemini-pro-latest'),
       config: {
         temperature: 1,
       },
@@ -345,7 +345,7 @@ ai.defineFlow(
   },
   async (location, { sendChunk }) => {
     const { response, stream } = ai.generateStream({
-      model: googleAI.model('gemini-2.5-flash'),
+      model: googleAI.model('gemini-flash-latest'),
       config: {
         temperature: 1,
       },
@@ -376,7 +376,7 @@ ai.defineFlow(
   },
   async (name, { sendChunk }) => {
     const { response, stream } = ai.generateStream({
-      model: googleAI.model('gemini-2.5-flash'),
+      model: googleAI.model('gemini-flash-latest'),
       config: {
         temperature: 2, // we want creativity
       },
@@ -392,8 +392,8 @@ ai.defineFlow(
   }
 );
 
-// Gemini reasoning example.
-ai.defineFlow('reasoning', async (_, { sendChunk }) => {
+// Gemini reasoning example (legacy thinkingBudget)
+ai.defineFlow('reasoning - thinkingBudget', async (_, { sendChunk }) => {
   const { message } = await ai.generate({
     prompt: 'what is heavier, one kilo of steel or one kilo of feathers',
     model: googleAI.model('gemini-2.5-pro'),
@@ -489,6 +489,11 @@ ai.defineFlow('nano-banana-2', async (_) => {
       google_search: {
         searchTypes: { webSearch: {}, imageSearch: {} },
       },
+      thinkingConfig: {
+        // Optional
+        thinkingLevel: 'HIGH',
+        includeThoughts: true,
+      },
     },
   });
 
diff --git a/js/testapps/dev-ui-gallery/src/genkit.ts b/js/testapps/dev-ui-gallery/src/genkit.ts
index 35af895689..ffae066b4e 100644
--- a/js/testapps/dev-ui-gallery/src/genkit.ts
+++ b/js/testapps/dev-ui-gallery/src/genkit.ts
@@ -81,12 +81,12 @@ export const PERMISSIVE_SAFETY_SETTINGS: any = {
 // a second instance, just for fun
 export const ai2 = genkit({
   name: 'Instance Two',
-  model: googleAI.model('gemini-2.5-flash'),
+  model: googleAI.model('gemini-flash-latest'),
   plugins: [googleAI()],
 });
 
 export const ai = genkit({
-  model: googleAI.model('gemini-2.5-flash'),
+  model: googleAI.model('gemini-flash-latest'),
   // load at least one plugin representing each action type
   plugins: [
     // model providers
diff --git a/js/testapps/dev-ui-gallery/src/main/prompts.ts b/js/testapps/dev-ui-gallery/src/main/prompts.ts
index 951812757a..70f30057d3 100644
--- a/js/testapps/dev-ui-gallery/src/main/prompts.ts
+++ b/js/testapps/dev-ui-gallery/src/main/prompts.ts
@@ -28,7 +28,7 @@ const template = 'Say hello to {{name}} in the voice of a {{persona}}.';
 
 export const codeDefinedPrompt = ai.definePrompt({
   name: promptName,
-  model: googleAI.model('gemini-2.5-flash'),
+  model: googleAI.model('gemini-flash-latest'),
   input: {
     schema: HelloSchema,
   },
@@ -66,7 +66,7 @@ export const codeDefinedPrompt = ai.definePrompt({
 export const codeDefinedPromptVariant = ai.definePrompt({
   name: promptName,
   variant: 'jsonOutput',
-  model: googleAI.model('gemini-2.5-flash'),
+  model: googleAI.model('gemini-flash-latest'),
   input: {
     schema: HelloSchema,
   },
@@ -100,7 +100,7 @@ export const promptFn = ai.definePrompt({
   input: {
     schema: HelloSchema,
   },
-  model: googleAI.model('gemini-2.5-flash'),
+  model: googleAI.model('gemini-flash-latest'),
   messages: async (input) => [
     {
       role: 'user',
diff --git a/js/testapps/dev-ui-gallery/src/main/tools.ts b/js/testapps/dev-ui-gallery/src/main/tools.ts
index cdac07dac7..058f4e51ca 100644
--- a/js/testapps/dev-ui-gallery/src/main/tools.ts
+++ b/js/testapps/dev-ui-gallery/src/main/tools.ts
@@ -93,7 +93,7 @@ const template = `
 
 export const weatherPrompt = ai.definePrompt({
   name: 'weatherPrompt',
-  model: googleAI.model('gemini-2.5-flash'),
+  model: googleAI.model('gemini-flash-latest'),
   input: {
     schema: WeatherSchema,
   },
diff --git a/js/testapps/docs-menu-basic/src/index.ts b/js/testapps/docs-menu-basic/src/index.ts
index 15b5475413..49601a8ff4 100644
--- a/js/testapps/docs-menu-basic/src/index.ts
+++ b/js/testapps/docs-menu-basic/src/index.ts
@@ -33,7 +33,7 @@ export const menuSuggestionFlow = ai.defineFlow(
   async (subject) => {
     const llmResponse = await ai.generate({
       prompt: `Suggest an item for the menu of a ${subject} themed restaurant`,
-      model: googleAI.model('gemini-2.5-flash'),
+      model: googleAI.model('gemini-flash-latest'),
       config: {
         temperature: 1,
       },
diff --git a/js/testapps/evals/src/pdf-rag.ts b/js/testapps/evals/src/pdf-rag.ts
index e2aeb45666..bf24220e98 100644
--- a/js/testapps/evals/src/pdf-rag.ts
+++ b/js/testapps/evals/src/pdf-rag.ts
@@ -70,7 +70,7 @@ export const pdfQA = ai.defineFlow(
       context: docs.map((d) => d.text).join('\n\n'),
     });
     const llmResponse = await ai.generate({
-      model: googleAI.model('gemini-2.5-flash'),
+      model: googleAI.model('gemini-flash-latest'),
       prompt: augmentedPrompt,
     });
     return llmResponse.text;
@@ -86,7 +86,7 @@ export const simpleStructured = ai.defineFlow(
   },
   async (i) => {
     const llmResponse = await ai.generate({
-      model: googleAI.model('gemini-2.5-flash'),
+      model: googleAI.model('gemini-flash-latest'),
       prompt: i.query,
     });
     return { response: llmResponse.text };
@@ -102,7 +102,7 @@ export const simpleEcho = ai.defineFlow(
   },
   async (i) => {
     const llmResponse = await ai.generate({
-      model: googleAI.model('gemini-2.5-flash'),
+      model: googleAI.model('gemini-flash-latest'),
       prompt: i,
     });
     return llmResponse.text;
diff --git a/js/testapps/express/src/index.ts b/js/testapps/express/src/index.ts
index 7671e732db..76e4364364 100644
--- a/js/testapps/express/src/index.ts
+++ b/js/testapps/express/src/index.ts
@@ -47,7 +47,7 @@ export const jokeFlow = ai.defineFlow(
     return await ai.run('call-llm', async () => {
       const llmResponse = await ai.generate({
         prompt: `tell me long joke about ${subject}`,
-        model: googleAI.model('gemini-2.5-flash'),
+        model: googleAI.model('gemini-flash-latest'),
         config: {
           temperature: 1,
         },
@@ -130,7 +130,7 @@ app.get('/jokeStream', async (req: Request, res: Response) => {
   });
   await ai.generate({
     prompt: `Tell me a long joke about ${subject}`,
-    model: googleAI.model('gemini-2.5-flash'),
+    model: googleAI.model('gemini-flash-latest'),
     config: {
       temperature: 1,
     },
diff --git a/js/testapps/flow-simple-ai/src/index.ts b/js/testapps/flow-simple-ai/src/index.ts
index c201e0ba7a..99ac41ba4e 100644
--- a/js/testapps/flow-simple-ai/src/index.ts
+++ b/js/testapps/flow-simple-ai/src/index.ts
@@ -72,7 +72,7 @@ const ai = genkit({
       ],
     }),
   ],
-  model: googleAI.model('gemini-2.5-flash'),
+  model: googleAI.model('gemini-flash-latest'),
 });
 
 const math: PluginProvider = {
@@ -207,7 +207,7 @@ export const streamJsonFlow = ai.defineFlow(
   },
   async (count, { sendChunk }) => {
     const { response, stream } = ai.generateStream({
-      model: googleAI.model('gemini-2.5-flash'),
+      model: googleAI.model('gemini-flash-latest'),
       output: {
         schema: GameCharactersSchema,
       },
@@ -307,7 +307,7 @@ export const vertexStreamer = ai.defineFlow(
   async (input, { sendChunk }) => {
     return await ai.run('call-llm', async () => {
       const llmResponse = await ai.generate({
-        model: googleAI.model('gemini-2.5-flash'),
+        model: googleAI.model('gemini-flash-latest'),
         prompt: `Tell me a very long joke about ${input}.`,
         onChunk: (c) => sendChunk(c.text),
       });
@@ -358,7 +358,7 @@ export const searchDestinations = ai.defineFlow(
     });
 
     const result = await ai.generate({
-      model: googleAI.model('gemini-2.5-flash'),
+      model: googleAI.model('gemini-flash-latest'),
       prompt: `Give me a list of vacation options based on the provided context. Use only the options provided below, and describe how it fits with my query.
 
 Query: ${input}
@@ -464,7 +464,7 @@ export const toolCaller = ai.defineFlow(
   },
   async (_, { sendChunk }) => {
     const { response, stream } = ai.generateStream({
-      model: googleAI.model('gemini-2.5-flash'),
+      model: googleAI.model('gemini-flash-latest'),
       config: {
         temperature: 1,
       },
@@ -506,7 +506,7 @@ export const dynamicToolCaller = ai.defineFlow(
     );
 
     const { response, stream } = ai.generateStream({
-      model: googleAI.model('gemini-2.5-flash'),
+      model: googleAI.model('gemini-flash-latest'),
       config: {
         temperature: 1,
       },
@@ -595,7 +595,7 @@ export const invalidOutput = ai.defineFlow(
   },
   async () => {
     const result = await ai.generate({
-      model: googleAI.model('gemini-2.5-flash'),
+      model: googleAI.model('gemini-flash-latest'),
       output: {
         schema: z.object({
           name: z.string(),
@@ -628,7 +628,7 @@ export const fileApi = ai.defineFlow(
     console.log(uploadResult.file);
 
     const result = await ai.generate({
-      model: googleAI.model('gemini-2.5-flash'),
+      model: googleAI.model('gemini-flash-latest'),
       prompt: [
         { text: 'Describe this image:' },
         {
@@ -671,7 +671,7 @@ export const toolTester = ai.defineFlow(
   },
   async (query) => {
     const result = await ai.generate({
-      model: googleAI.model('gemini-2.5-flash'),
+      model: googleAI.model('gemini-flash-latest'),
       prompt: query,
       tools: testTools,
     });
@@ -689,7 +689,7 @@ export const arrayStreamTester = ai.defineFlow(
   async (input, { sendChunk }) => {
     try {
       const { stream, response } = ai.generateStream({
-        model: googleAI.model('gemini-2.5-flash'),
+        model: googleAI.model('gemini-flash-latest'),
         config: {
           safetySettings: [
             {
@@ -745,7 +745,7 @@ ai.defineFlow(
   },
   async (query, { sendChunk }) => {
     const { text } = await ai.generate({
-      model: googleAI.model('gemini-2.5-flash'),
+      model: googleAI.model('gemini-flash-latest'),
       prompt: query,
       tools: ['math/add', 'math/subtract'],
       onChunk: sendChunk,
@@ -784,7 +784,7 @@ ai.defineFlow('blockingMiddleware', async () => {
 
 ai.defineFlow('formatJson', async (input, { sendChunk }) => {
   const { output, text } = await ai.generate({
-    model: googleAI.model('gemini-2.5-flash'),
+    model: googleAI.model('gemini-flash-latest'),
     prompt: `generate an RPG game character of type ${input || 'archer'}`,
     output: {
       constrained: true,
@@ -803,7 +803,7 @@ ai.defineFlow('formatJson', async (input, { sendChunk }) => {
 
 ai.defineFlow('formatJsonManualSchema', async (input, { sendChunk }) => {
   const { output, text } = await ai.generate({
-    model: googleAI.model('gemini-2.5-flash'),
+    model: googleAI.model('gemini-flash-latest'),
     prompt: `generate one RPG game character of type ${input || 'archer'} and generated JSON must match this interface
 
     \`\`\`typescript
@@ -873,7 +873,7 @@ ai.defineFlow(
   },
   async (input) => {
     const { output } = await ai.generate({
-      model: googleAI.model('gemini-2.5-flash'),
+      model: googleAI.model('gemini-flash-latest'),
       prompt: `extract data from:\n\n${input}`,
       output: {
         schema: z.object({
@@ -925,7 +925,7 @@ ai.defineFlow('geminiImages', async (_, { sendChunk }) => {
 
 ai.defineFlow('geminiEnum', async (thing, { sendChunk }) => {
   const { response, stream } = await ai.generateStream({
-    model: googleAI.model('gemini-2.5-flash'),
+    model: googleAI.model('gemini-flash-latest'),
     prompt: `What type of thing is ${thing || 'a banana'}?`,
     output: {
       schema: z.object({
@@ -959,7 +959,7 @@ ai.defineFlow('embedders-tester', async () => {
 ai.defineFlow('reasoning', async (_, { sendChunk }) => {
   const { message } = await ai.generate({
     prompt: 'whats heavier, one kilo of steel or or one kilo of feathers',
-    model: googleAI.model('gemini-2.5-flash'),
+    model: googleAI.model('gemini-flash-latest'),
     config: {
       thinkingConfig: {
         thinkingBudget: 1024,
@@ -1112,7 +1112,7 @@ async function saveWaveFile(
 
 ai.defineFlow('googleSearch', async (thing) => {
   const { text } = await ai.generate({
-    model: googleAI.model('gemini-2.5-flash'),
+    model: googleAI.model('gemini-flash-latest'),
     prompt: `What is a banana?`,
     config: { tools: [{ googleSearch: {} }] },
   });
@@ -1144,7 +1144,7 @@ ai.defineFlow('googleai-imagen', async (thing) => {
 
 ai.defineFlow('meme-of-the-day', async () => {
   const { text: script } = await ai.generate({
-    model: googleAI.model('gemini-2.5-flash'),
+    model: googleAI.model('gemini-flash-latest'),
     prompt:
       'Write a detailed script for a 8 second video. The video should be a meme of the day. ' +
       'A Silly DIY FAIL situation like a: broken tools, or bad weather or crooked assembly, etc. Be creative. The FAIL should be very obvious. ' +
@@ -1266,7 +1266,7 @@ ai.defineResource(
 
 ai.defineFlow('resource', async () => {
   return await ai.generate({
-    model: googleAI.model('gemini-2.5-flash'),
+    model: googleAI.model('gemini-flash-latest'),
     prompt: [
       { text: 'analyze this: ' },
       { resource: { uri: 'my://resource/value' } },
@@ -1279,7 +1279,7 @@ ai.defineFlow('abort-signal', async (_, { sendChunk }) => {
   const signal = abort.signal;
   setTimeout(() => abort.abort(), 2000);
   return await ai.generate({
-    model: googleAI.model('gemini-2.5-flash'),
+    model: googleAI.model('gemini-flash-latest'),
     prompt: [{ text: 'tell me a long joke' }],
     onChunk: sendChunk,
     abortSignal: signal,
diff --git a/js/testapps/format-tester/src/tools.ts b/js/testapps/format-tester/src/tools.ts
index cdeada0cbe..17cc15556e 100644
--- a/js/testapps/format-tester/src/tools.ts
+++ b/js/testapps/format-tester/src/tools.ts
@@ -19,7 +19,7 @@ import { genkit, z } from 'genkit';
 
 const ai = genkit({
   plugins: [googleAI()],
-  model: googleAI.model('gemini-2.5-flash'),
+  model: googleAI.model('gemini-flash-latest'),
 });
 
 const lookupUsers = ai.defineTool(
diff --git a/js/testapps/mcp/src/index.ts b/js/testapps/mcp/src/index.ts
index 8bf2f4c99a..72f8699e18 100644
--- a/js/testapps/mcp/src/index.ts
+++ b/js/testapps/mcp/src/index.ts
@@ -45,7 +45,7 @@ export const PERMISSIVE_SAFETY_SETTINGS: any = {
 
 export const ai = genkit({
   plugins: [googleAI()],
-  model: googleAI.model('gemini-2.5-flash'),
+  model: googleAI.model('gemini-flash-latest'),
 });
 
 logger.setLogLevel('debug'); // Set the logging level to debug for detailed output
diff --git a/js/testapps/menu/src/01/prompts.ts b/js/testapps/menu/src/01/prompts.ts
index c6d14a6057..8d83e3f8c5 100644
--- a/js/testapps/menu/src/01/prompts.ts
+++ b/js/testapps/menu/src/01/prompts.ts
@@ -29,7 +29,7 @@ export const s01_vanillaPrompt = ai.definePrompt({
   config: { temperature: 0.3 },
   messages: async (input: MenuQuestionInput) => {
     const promptText = `
-      You are acting as a helpful AI assistant named "Walt" that can answer 
+      You are acting as a helpful AI assistant named "Walt" that can answer
       questions about the food available on the menu at Walt's Burgers.
       Customer says: ${input.question}
       `;
@@ -44,17 +44,17 @@ export const s01_vanillaPrompt = ai.definePrompt({
 
 export const s01_staticMenuDotPrompt = ai.definePrompt({
   name: 's01_staticMenuDotPrompt',
-  model: googleAI.model('gemini-2.5-flash'),
+  model: googleAI.model('gemini-flash-latest'),
   input: { schema: MenuQuestionInputSchema },
   output: { format: 'text' },
   messages: `
-You are acting as a helpful AI assistant named "Walt" that can answer 
-questions about the food available on the menu at Walt's Burgers. 
+You are acting as a helpful AI assistant named "Walt" that can answer
+questions about the food available on the menu at Walt's Burgers.
 Here is today's menu:
 
 - The Regular Burger $12
   The classic charbroiled to perfection with your choice of cheese
-  
+
 - The Fancy Burger $13
   Classic burger topped with bacon & Blue Cheese
 
@@ -63,14 +63,14 @@ Here is today's menu:
 
 - Everything Burger $14
   Heinz 57 sauce, American cheese, bacon, fried egg & crispy onion bits
-  
+
 - Chicken Breast Sandwich $12
   Tender juicy chicken breast on a brioche roll.
   Grilled, blackened, or fried
 
 Our fresh 1/2 lb. beef patties are made using choice cut
 brisket, short rib & sirloin. Served on a toasted
-brioche roll with chips. Served with lettuce, tomato & pickles. 
+brioche roll with chips. Served with lettuce, tomato & pickles.
 Onions upon request. Substitute veggie patty $2
 
 Answer this customer's question, in a concise and helpful manner,
diff --git a/js/testapps/menu/src/02/prompts.ts b/js/testapps/menu/src/02/prompts.ts
index b54c7d0f15..615451bf6b 100644
--- a/js/testapps/menu/src/02/prompts.ts
+++ b/js/testapps/menu/src/02/prompts.ts
@@ -24,7 +24,7 @@ import { menuTool } from './tools.js';
 
 export const s02_dataMenuPrompt = ai.definePrompt({
   name: 's02_dataMenu',
-  model: googleAI.model('gemini-2.5-flash'),
+  model: googleAI.model('gemini-flash-latest'),
   input: { schema: MenuQuestionInputSchema },
   output: { format: 'text' },
   tools: [menuTool],
@@ -32,8 +32,8 @@ export const s02_dataMenuPrompt = ai.definePrompt({
     temperature: 0.2,
   },
   messages: `
-You are acting as a helpful AI assistant named Walt that can answer 
-questions about the food available on the menu at Walt's Burgers. 
+You are acting as a helpful AI assistant named Walt that can answer
+questions about the food available on the menu at Walt's Burgers.
 
 Answer this customer's question, in a concise and helpful manner,
 as long as it is about food on the menu or something harmless like sports.
diff --git a/js/testapps/menu/src/04/prompts.ts b/js/testapps/menu/src/04/prompts.ts
index 53d062ee74..8046baef17 100644
--- a/js/testapps/menu/src/04/prompts.ts
+++ b/js/testapps/menu/src/04/prompts.ts
@@ -20,17 +20,17 @@ import { DataMenuQuestionInputSchema } from '../types.js';
 
 export const s04_ragDataMenuPrompt = ai.definePrompt({
   name: 's04_ragDataMenu',
-  model: googleAI.model('gemini-2.5-flash'),
+  model: googleAI.model('gemini-flash-latest'),
   input: { schema: DataMenuQuestionInputSchema },
   output: { format: 'text' },
   config: { temperature: 0.3 },
   messages: `
 You are acting as Walt, a helpful AI assistant here at the restaurant.
 You can answer questions about the food on the menu or any other questions
-customers have about food in general. 
+customers have about food in general.
 
 Here are some items that are on today's menu that are relevant to
-helping you answer the customer's question: 
+helping you answer the customer's question:
 {{#each menuData~}}
 - {{this.title}} \${{this.price}}
   {{this.description}}
diff --git a/js/testapps/menu/src/05/prompts.ts b/js/testapps/menu/src/05/prompts.ts
index 55162f8ab5..df01d4060a 100644
--- a/js/testapps/menu/src/05/prompts.ts
+++ b/js/testapps/menu/src/05/prompts.ts
@@ -21,7 +21,7 @@ import { TextMenuQuestionInputSchema } from '../types.js';
 
 export const s05_readMenuPrompt = ai.definePrompt({
   name: 's05_readMenu',
-  model: googleAI.model('gemini-2.5-flash'),
+  model: googleAI.model('gemini-flash-latest'),
   input: {
     schema: z.object({
       imageUrl: z.string(),
@@ -30,23 +30,23 @@ export const s05_readMenuPrompt = ai.definePrompt({
   output: { format: 'text' },
   config: { temperature: 0.1 },
   messages: `
-Extract _all_ of the text, in order, 
+Extract _all_ of the text, in order,
 from the following image of a restaurant menu.
 
-{{media url=imageUrl}} 
+{{media url=imageUrl}}
 `,
 });
 
 export const s05_textMenuPrompt = ai.definePrompt({
   name: 's05_textMenu',
-  model: googleAI.model('gemini-2.5-flash'),
+  model: googleAI.model('gemini-flash-latest'),
   input: { schema: TextMenuQuestionInputSchema },
   output: { format: 'text' },
   config: { temperature: 0.3 },
   messages: `
 You are acting as Walt, a helpful AI assistant here at the restaurant.
 You can answer questions about the food on the menu or any other questions
-customers have about food in general. 
+customers have about food in general.
 
 Here is the text of today's menu to help you answer the customer's question:
 {{menuText}}
diff --git a/js/testapps/model-armor/src/index.ts b/js/testapps/model-armor/src/index.ts
index ff6a4445d5..912a291386 100644
--- a/js/testapps/model-armor/src/index.ts
+++ b/js/testapps/model-armor/src/index.ts
@@ -40,7 +40,7 @@ ai.defineFlow(
     }
     try {
       const { text } = await ai.generate({
-        model: googleAI.model('gemini-2.5-flash'),
+        model: googleAI.model('gemini-flash-latest'),
         prompt: input,
         use: [
           modelArmor({
diff --git a/js/testapps/next/src/genkit/index.ts b/js/testapps/next/src/genkit/index.ts
index 411b3877f6..31e51f5ae3 100644
--- a/js/testapps/next/src/genkit/index.ts
+++ b/js/testapps/next/src/genkit/index.ts
@@ -22,5 +22,5 @@ disableOTelRootSpanDetection();
 
 export const ai = genkit({
   plugins: [googleAI()],
-  model: googleAI.model('gemini-2.5-flash'),
+  model: googleAI.model('gemini-flash-latest'),
 });
diff --git a/js/testapps/rag/src/genkit.ts b/js/testapps/rag/src/genkit.ts
index 4b445f7fdd..aa33a99111 100644
--- a/js/testapps/rag/src/genkit.ts
+++ b/js/testapps/rag/src/genkit.ts
@@ -111,5 +111,5 @@ export const ai = genkit({
       metrics: [GenkitMetric.FAITHFULNESS, GenkitMetric.MALICIOUSNESS],
     }),
   ],
-  model: googleAI.model('gemini-2.5-flash'),
+  model: googleAI.model('gemini-flash-latest'),
 });
diff --git a/js/testapps/rag/src/pdf-rag-firebase.ts b/js/testapps/rag/src/pdf-rag-firebase.ts
index fa4989a885..0282e7550a 100644
--- a/js/testapps/rag/src/pdf-rag-firebase.ts
+++ b/js/testapps/rag/src/pdf-rag-firebase.ts
@@ -124,7 +124,7 @@ export const pdfQAFirebase = ai.defineFlow(
       context: docs.map((d) => d.text).join('\n\n'),
     });
     const llmResponse = await ai.generate({
-      model: googleAI.model('gemini-2.5-flash'),
+      model: googleAI.model('gemini-flash-latest'),
       prompt: augmentedPrompt,
     });
 
diff --git a/js/testapps/rag/src/pdf-rag.ts b/js/testapps/rag/src/pdf-rag.ts
index 8f26df6430..de2e3fa110 100644
--- a/js/testapps/rag/src/pdf-rag.ts
+++ b/js/testapps/rag/src/pdf-rag.ts
@@ -117,7 +117,7 @@ export const synthesizeQuestions = ai.defineFlow(
     const questions: string[] = [];
     for (let i = 0; i < chunks.length; i++) {
       const qResponse = await ai.generate({
-        model: googleAI.model('gemini-2.5-flash'),
+        model: googleAI.model('gemini-flash-latest'),
         prompt: {
           text: `Generate one question about the text below: ${chunks[i]}`,
         },
diff --git a/js/testapps/rag/src/prompt.ts b/js/testapps/rag/src/prompt.ts
index c548548390..713f01cc2d 100644
--- a/js/testapps/rag/src/prompt.ts
+++ b/js/testapps/rag/src/prompt.ts
@@ -21,7 +21,7 @@ import { ai } from './genkit.js';
 // Define a prompt that includes the retrieved context documents
 
 export const augmentedPrompt = ai.definePrompt({
-  model: googleAI.model('gemini-2.5-flash'),
+  model: googleAI.model('gemini-flash-latest'),
   name: 'augmentedPrompt',
   input: {
     schema: z.object({
diff --git a/samples/js-angular/server/src/chatbot.ts b/samples/js-angular/server/src/chatbot.ts
index 4a1ab2698d..879a3a54be 100644
--- a/samples/js-angular/server/src/chatbot.ts
+++ b/samples/js-angular/server/src/chatbot.ts
@@ -50,7 +50,7 @@ const datePicker = ai.defineTool(
 
 export const chatbotFlow = defineAgent(ai, {
   name: 'chatbotFlow',
-  model: googleAI.model('gemini-2.5-flash'),
+  model: googleAI.model('gemini-flash-latest'),
   tools: [weatherTool, datePicker],
   returnToolRequests: true,
   systemPrompt:
diff --git a/samples/js-angular/server/src/jsonStreaming.ts b/samples/js-angular/server/src/jsonStreaming.ts
index 7aae662f46..2d59f2dadb 100644
--- a/samples/js-angular/server/src/jsonStreaming.ts
+++ b/samples/js-angular/server/src/jsonStreaming.ts
@@ -43,7 +43,7 @@ export const streamCharacters = ai.defineFlow(
   },
   async (count, { sendChunk }) => {
     const { response, stream } = await ai.generateStream({
-      model: googleAI.model('gemini-2.5-flash'),
+      model: googleAI.model('gemini-flash-latest'),
       output: {
         format: 'json',
         schema: GameCharactersSchema,
diff --git a/samples/js-character-generator/index.ts b/samples/js-character-generator/index.ts
index 08113e35eb..58827a11ce 100644
--- a/samples/js-character-generator/index.ts
+++ b/samples/js-character-generator/index.ts
@@ -23,7 +23,7 @@ const ai = genkit({
 
 const prompt = ai.definePrompt({
   name: 'Character Prompt',
-  model: googleAI.model('gemini-2.5-flash'),
+  model: googleAI.model('gemini-flash-latest'),
   input: {
     schema: z.object({
       inspiration: z.string(),
diff --git a/samples/js-coffee-shop/src/index.ts b/samples/js-coffee-shop/src/index.ts
index 1b36d25837..2c413b5130 100644
--- a/samples/js-coffee-shop/src/index.ts
+++ b/samples/js-coffee-shop/src/index.ts
@@ -33,7 +33,7 @@ const CustomerNameSchema = z.object({
 const simpleGreetingPrompt = ai.definePrompt(
   {
     name: 'simpleGreeting',
-    model: googleAI.model('gemini-2.5-flash'),
+    model: googleAI.model('gemini-flash-latest'),
     input: { schema: CustomerNameSchema },
     output: {
       format: 'text',
@@ -68,7 +68,7 @@ const CustomerTimeAndHistorySchema = z.object({
 const greetingWithHistoryPrompt = ai.definePrompt(
   {
     name: 'greetingWithHistory',
-    model: googleAI.model('gemini-2.5-flash'),
+    model: googleAI.model('gemini-flash-latest'),
     input: { schema: CustomerTimeAndHistorySchema },
     output: {
       format: 'text',
diff --git a/samples/js-gemini/package.json b/samples/js-gemini/package.json
index 3b0955cda7..b8897a126b 100644
--- a/samples/js-gemini/package.json
+++ b/samples/js-gemini/package.json
@@ -14,14 +14,14 @@
   "author": "",
   "license": "ISC",
   "dependencies": {
-    "@genkit-ai/google-genai": "^1.17.0",
-    "genkit": "^1.17.0",
+    "@genkit-ai/google-genai": "^1.28.0",
+    "genkit": "^1.28.0",
     "node-fetch": "3.3.2",
     "wav": "^1.0.2"
   },
   "devDependencies": {
     "@types/wav": "^1.0.4",
-    "genkit-cli": "^1.17.0",
+    "genkit-cli": "^1.28.0",
     "tsx": "^4.20.3",
     "typescript": "^5.5.4"
   }
diff --git a/samples/js-gemini/src/index.ts b/samples/js-gemini/src/index.ts
index 36369afa89..1f48c9bfc2 100644
--- a/samples/js-gemini/src/index.ts
+++ b/samples/js-gemini/src/index.ts
@@ -201,8 +201,8 @@ ai.defineFlow(
   }
 );
 
-// Gemini reasoning example.
-ai.defineFlow('reasoning', async (_, { sendChunk }) => {
+// Legacy Gemini reasoning example.
+ai.defineFlow('gemini 2.5 reasoning', async (_, { sendChunk }) => {
   const { message } = await ai.generate({
     prompt: 'what is heavier, one kilo of steel or one kilo of feathers',
     model: googleAI.model('gemini-2.5-pro'),
@@ -218,6 +218,23 @@ ai.defineFlow('reasoning', async (_, { sendChunk }) => {
   return message;
 });
 
+// Current Gemini reasoning example
+ai.defineFlow('thinkingConfig', async (_, { sendChunk }) => {
+  const { text } = await ai.generate({
+    prompt: 'what is heavier, one kilo of steel or one kilo of feathers',
+    model: googleAI.model('gemini-3.1-pro-preview'),
+    config: {
+      thinkingConfig: {
+        thinkingLevel: 'HIGH',
+        includeThoughts: true,
+      },
+    },
+    onChunk: sendChunk,
+  });
+
+  return text;
+});
+
 // Gemini code execution.
 ai.defineFlow('code-execution', async (_, { sendChunk }) => {
   const { message } = await ai.generate({
diff --git a/samples/js-menu/src/01/prompts.ts b/samples/js-menu/src/01/prompts.ts
index 3ebdec3e03..9b1f6f379f 100644
--- a/samples/js-menu/src/01/prompts.ts
+++ b/samples/js-menu/src/01/prompts.ts
@@ -29,7 +29,7 @@ export const s01_vanillaPrompt = ai.definePrompt(
   },
   async (input: MenuQuestionInput): Promise<GenerateRequest> => {
     const promptText = `
-    You are acting as a helpful AI assistant named "Walt" that can answer 
+    You are acting as a helpful AI assistant named "Walt" that can answer
     questions about the food available on the menu at Walt's Burgers.
     Customer says: ${input.question}
     `;
@@ -48,18 +48,18 @@ export const s01_vanillaPrompt = ai.definePrompt(
 export const s01_staticMenuDotPrompt = ai.definePrompt(
   {
     name: 's01_staticMenuDotPrompt',
-    model: googleAI.model('gemini-2.5-flash'),
+    model: googleAI.model('gemini-flash-latest'),
     input: { schema: MenuQuestionInputSchema },
     output: { format: 'text' },
   },
   `
-You are acting as a helpful AI assistant named "Walt" that can answer 
-questions about the food available on the menu at Walt's Burgers. 
+You are acting as a helpful AI assistant named "Walt" that can answer
+questions about the food available on the menu at Walt's Burgers.
 Here is today's menu:
 
 - The Regular Burger $12
   The classic charbroiled to perfection with your choice of cheese
-  
+
 - The Fancy Burger $13
   Classic burger topped with bacon & Blue Cheese
 
@@ -68,14 +68,14 @@ Here is today's menu:
 
 - Everything Burger $14
   Heinz 57 sauce, American cheese, bacon, fried egg & crispy onion bits
-  
+
 - Chicken Breast Sandwich $12
   Tender juicy chicken breast on a brioche roll.
   Grilled, blackened, or fried
 
 Our fresh 1/2 lb. beef patties are made using choice cut
 brisket, short rib & sirloin. Served on a toasted
-brioche roll with chips. Served with lettuce, tomato & pickles. 
+brioche roll with chips. Served with lettuce, tomato & pickles.
 Onions upon request. Substitute veggie patty $2
 
 Answer this customer's question, in a concise and helpful manner,
diff --git a/samples/js-menu/src/02/prompts.ts b/samples/js-menu/src/02/prompts.ts
index 2d969481ec..0839b64704 100644
--- a/samples/js-menu/src/02/prompts.ts
+++ b/samples/js-menu/src/02/prompts.ts
@@ -25,14 +25,14 @@ import { menuTool } from './tools';
 export const s02_dataMenuPrompt = ai.definePrompt(
   {
     name: 's02_dataMenu',
-    model: googleAI.model('gemini-2.5-flash'),
+    model: googleAI.model('gemini-flash-latest'),
     input: { schema: MenuQuestionInputSchema },
     output: { format: 'text' },
     tools: [menuTool],
   },
   `
-You are acting as a helpful AI assistant named Walt that can answer 
-questions about the food available on the menu at Walt's Burgers. 
+You are acting as a helpful AI assistant named Walt that can answer
+questions about the food available on the menu at Walt's Burgers.
 
 Answer this customer's question, in a concise and helpful manner,
 as long as it is about food on the menu or something harmless like sports.
diff --git a/samples/js-menu/src/03/flows.ts b/samples/js-menu/src/03/flows.ts
index 030681820c..6f7108e4d7 100644
--- a/samples/js-menu/src/03/flows.ts
+++ b/samples/js-menu/src/03/flows.ts
@@ -77,7 +77,7 @@ export const s03_multiTurnChatFlow = ai.defineFlow(
 
     // Generate the response
     const llmResponse = await ai.generate({
-      model: googleAI.model('gemini-2.5-flash'),
+      model: googleAI.model('gemini-flash-latest'),
       messages: history,
       prompt: {
         text: input.question,
diff --git a/samples/js-menu/src/03/prompts.ts b/samples/js-menu/src/03/prompts.ts
index b36dc0f7c9..2a60a6652f 100644
--- a/samples/js-menu/src/03/prompts.ts
+++ b/samples/js-menu/src/03/prompts.ts
@@ -24,7 +24,7 @@ import { DataMenuQuestionInputSchema } from '../types';
 export const s03_chatPreamblePrompt = ai.definePrompt(
   {
     name: 's03_chatPreamble',
-    model: googleAI.model('gemini-2.5-flash'),
+    model: googleAI.model('gemini-flash-latest'),
     input: { schema: DataMenuQuestionInputSchema },
     output: { format: 'text' },
     config: { temperature: 0.3 },
@@ -32,12 +32,12 @@ export const s03_chatPreamblePrompt = ai.definePrompt(
   `
   {{ role "user" }}
   Hi. What's on the menu today?
-  
+
   {{ role "model" }}
   I am Walt, a helpful AI assistant here at the restaurant.
   I can answer questions about the food on the menu or any other questions
   you have about food in general. I probably can't help you with anything else.
-  Here is today's menu: 
+  Here is today's menu:
   {{#each menuData~}}
   - {{this.title}} \${{this.price}}
     {{this.description}}
diff --git a/samples/js-menu/src/04/prompts.ts b/samples/js-menu/src/04/prompts.ts
index 454bf65179..194f721eed 100644
--- a/samples/js-menu/src/04/prompts.ts
+++ b/samples/js-menu/src/04/prompts.ts
@@ -21,7 +21,7 @@ import { DataMenuQuestionInputSchema } from '../types';
 export const s04_ragDataMenuPrompt = ai.definePrompt(
   {
     name: 's04_ragDataMenu',
-    model: googleAI.model('gemini-2.5-flash'),
+    model: googleAI.model('gemini-flash-latest'),
     input: { schema: DataMenuQuestionInputSchema },
     output: { format: 'text' },
     config: { temperature: 0.3 },
@@ -29,10 +29,10 @@ export const s04_ragDataMenuPrompt = ai.definePrompt(
   `
 You are acting as Walt, a helpful AI assistant here at the restaurant.
 You can answer questions about the food on the menu or any other questions
-customers have about food in general. 
+customers have about food in general.
 
 Here are some items that are on today's menu that are relevant to
-helping you answer the customer's question: 
+helping you answer the customer's question:
 {{#each menuData~}}
 - {{this.title}} \${{this.price}}
   {{this.description}}
diff --git a/samples/js-menu/src/05/prompts.ts b/samples/js-menu/src/05/prompts.ts
index e76a8e2fba..ed9309ce82 100644
--- a/samples/js-menu/src/05/prompts.ts
+++ b/samples/js-menu/src/05/prompts.ts
@@ -22,7 +22,7 @@ import { TextMenuQuestionInputSchema } from '../types';
 export const s05_readMenuPrompt = ai.definePrompt(
   {
     name: 's05_readMenu',
-    model: googleAI.model('gemini-2.5-flash'),
+    model: googleAI.model('gemini-flash-latest'),
     input: {
       schema: z.object({
         imageUrl: z.string(),
@@ -32,17 +32,17 @@ export const s05_readMenuPrompt = ai.definePrompt(
     config: { temperature: 0.1 },
   },
   `
-Extract _all_ of the text, in order, 
+Extract _all_ of the text, in order,
 from the following image of a restaurant menu.
 
-{{media url=imageUrl}} 
+{{media url=imageUrl}}
 `
 );
 
 export const s05_textMenuPrompt = ai.definePrompt(
   {
     name: 's05_textMenu',
-    model: googleAI.model('gemini-2.5-flash'),
+    model: googleAI.model('gemini-flash-latest'),
     input: { schema: TextMenuQuestionInputSchema },
     output: { format: 'text' },
     config: { temperature: 0.3 },
@@ -50,7 +50,7 @@ export const s05_textMenuPrompt = ai.definePrompt(
   `
 You are acting as Walt, a helpful AI assistant here at the restaurant.
 You can answer questions about the food on the menu or any other questions
-customers have about food in general. 
+customers have about food in general.
 
 Here is the text of today's menu to help you answer the customer's question:
 {{menuText}}
diff --git a/samples/js-schoolAgent/src/genkit.ts b/samples/js-schoolAgent/src/genkit.ts
index e6a128b85b..d2d4f20e27 100644
--- a/samples/js-schoolAgent/src/genkit.ts
+++ b/samples/js-schoolAgent/src/genkit.ts
@@ -20,7 +20,7 @@ import type { AgentState } from './types';
 
 export const ai = genkit({
   plugins: [googleAI()],
-  model: googleAI.model('gemini-2.5-pro'),
+  model: googleAI.model('gemini-pro-latest'),
 });
 
 ai.defineHelper(