chore: remove obsolete Gemini models from examples (#12702)

## Background

The Gemini 1.5 model family and `gemini-2.0-flash-exp` (which was
Google's first multimodal image generation model) are no longer around.

## Summary

Updates all examples that use one of them to use an equivalent available
model.

## Related PRs

#12494

Author: felixarntz

examples/ai-functions/src/e2e/google-vertex.test.ts

@@ -95,11 +95,8 @@ const createModelsForRuntime = (
 ) => ({
   invalidModel: vertex('no-such-model'),
   languageModels: [
-    ...createModelVariants(vertex, 'gemini-2.0-flash-exp'),
-    ...createModelVariants(vertex, 'gemini-1.5-flash'),
-    // Gemini 2.0 and Pro models have low quota limits and may require billing enabled.
-    // ...createModelVariants(vertex, 'gemini-1.5-pro-001'),
-    // ...createModelVariants(vertex, 'gemini-1.0-pro-001'),
+    ...createModelVariants(vertex, 'gemini-2.5-flash-image'),
+    ...createModelVariants(vertex, 'gemini-2.5-flash'),
   ],
   embeddingModels: [
     createEmbeddingModelWithCapabilities(

examples/ai-functions/src/e2e/google.test.ts

@@ -52,12 +52,12 @@ createFeatureTestSuite({
   models: {
     invalidModel: provider.chat('no-such-model'),
     languageModels: [
-      createSearchGroundedModel('gemini-1.5-flash-latest'),
-      createChatModel('gemini-1.5-flash-latest'),
+      createSearchGroundedModel('gemini-2.5-flash'),
+      createChatModel('gemini-2.5-flash'),
       // Gemini 2.0 and Pro models have low quota limits and may require billing enabled.
-      // createChatModel('gemini-2.0-flash-exp'),
-      // createSearchGroundedModel('gemini-2.0-flash-exp'),
-      // createChatModel('gemini-1.5-pro-latest'),
+      // createChatModel('gemini-2.5-flash-image'),
+      // createSearchGroundedModel('gemini-2.5-flash-image'),
+      // createChatModel('gemini-2.5-pro'),
       // createChatModel('gemini-1.0-pro'),
     ],
     embeddingModels: [

examples/ai-functions/src/e2e/raw-chunks.test.ts

@@ -11,7 +11,7 @@ describe('Raw Chunks E2E Tests', () => {
   const providers = [
     { name: 'OpenAI', model: openai('gpt-4o-mini') },
     { name: 'Anthropic', model: anthropic('claude-3-5-haiku-latest') },
-    { name: 'Google', model: google('gemini-1.5-flash') },
+    { name: 'Google', model: google('gemini-2.5-flash') },
   ];
 
   providers.forEach(({ name, model }) => {

examples/ai-functions/src/generate-object/google-enum.ts

@@ -4,7 +4,7 @@ import { run } from '../lib/run';
 
 run(async () => {
   const result = await generateObject({
-    model: google('gemini-1.5-pro-latest'),
+    model: google('gemini-2.5-pro'),
     output: 'enum',
     enum: ['action', 'comedy', 'drama', 'horror', 'sci-fi'],
     prompt:

examples/ai-functions/src/generate-object/google-gemini-files.ts

@@ -18,7 +18,7 @@ run(async () => {
   });
 
   const { object: summary } = await generateObject({
-    model: google('gemini-1.5-pro-latest'),
+    model: google('gemini-2.5-pro'),
     schema: z.object({
       title: z.string(),
       keyPoints: z.array(z.string()),

examples/ai-functions/src/generate-object/google-no-structured-output.ts

@@ -5,7 +5,7 @@ import { run } from '../lib/run';
 
 run(async () => {
   const result = await generateObject({
-    model: google('gemini-1.5-pro-latest'),
+    model: google('gemini-2.5-pro'),
     providerOptions: {
       google: {
         structuredOutputs: false,

examples/ai-functions/src/generate-object/google-pdf-url.ts

@@ -5,7 +5,7 @@ import { run } from '../lib/run';
 
 run(async () => {
   const { object: summary } = await generateObject({
-    model: google('gemini-1.5-pro-latest'),
+    model: google('gemini-2.5-pro'),
     schema: z.object({
       title: z.string(),
       authors: z.array(z.string()),

examples/ai-functions/src/generate-object/google-vertex.ts

@@ -5,7 +5,7 @@ import { run } from '../lib/run';
 
 run(async () => {
   const result = await generateObject({
-    model: vertex('gemini-1.5-pro'),
+    model: vertex('gemini-2.5-pro'),
     schema: z.object({
       recipe: z.object({
         name: z.literal('Lasagna'),

examples/ai-functions/src/generate-text/google-audio.ts

@@ -5,7 +5,7 @@ import { run } from '../lib/run';
 
 run(async () => {
   const result = await generateText({
-    model: google('gemini-1.5-flash'),
+    model: google('gemini-2.5-flash'),
     messages: [
       {
         role: 'user',

examples/ai-functions/src/generate-text/google-chatbot-image-output.ts

@@ -16,7 +16,7 @@ run(async () => {
     messages.push({ role: 'user', content: await terminal.question('You: ') });
 
     const result = await generateText({
-      model: google('gemini-2.0-flash-exp'),
+      model: google('gemini-2.5-flash-image'),
       providerOptions: {
         google: {
           responseModalities: ['TEXT', 'IMAGE'],