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Vertex AI provides managed access to Gemini models as part of a broader Google Cloud platform for building and operating generative AI applications. A first request requires a Google Cloud project, billing, the Vertex AI API, and either the Google Gen AI SDK or REST. For production, plan beyond the model call: decide how the application will handle tools and retrieved information, inspect safety and completion metadata, and verify capacity and security support for the exact model, feature, and region.
How does the Gemini API fit into Vertex AI?
Vertex AI is a Google Cloud platform for building and operating machine-learning and generative AI applications. The Gemini API is one managed model interface within that platform; it sits alongside capabilities such as grounding, embeddings, tuning, evaluation, and SDK-based development. Google describes Vertex AI as a way to build generative AI applications and agents with its models and selected third-party models.
Google Cloud’s Vertex AI overview reported “over 200” models in Model Garden on a page last updated June 27, 2025. That is a vendor-published figure from that date, not a guarantee of the current inventory or of availability for a particular task, region, or deployment.
How do I make my first Gemini API request?
The quickstart’s workflow is to prepare a Google Cloud project, enable the required service, configure the client for the project and location, and send content to generateContent. It demonstrates text generation and image understanding. Its examples are illustrative, not a recommendation that the example model ID, location, or SDK version is the latest or right for every deployment.
#1 Best Overall
- Attention-grabbing design meets the latest evolution of the Google Pixel Camera on the new Google Pixel 11 Pro; Gemini Intelligence helps manage details so you can live in the moment[1]; and the phone is available in two sizes
- Unlocked Android phone gives you the flexibility to change carriers and choose your own data plan: Works with Google Fi, Verizon, T-Mobile, AT&T, and other major carriers[2]
- Stay informed without looking at your screen: When your phone is face down, Pixel HiLight gently alerts you with subtle glowing lights when your favorite contacts are calling or you’re talking with Gemini; exclusive to Google Pixel 11 Pro phones
- Magic Capture catches the moment as you live it: With just one tap, Pixel 11 Pro captures video and photos, and automatically edits, crops, and unblurs a curated collection, ready to share – and you get the memory of how it felt to be in the moment
- Two new cameras for more brilliant photos: A larger telephoto sensor captures 30% more light for clear, beautiful photos and videos, even in the dark[3]; Pixel’s longest zoom ever helps you capture details from impressive distances[4]
- Select or create a Google Cloud project. Use the project that should own the Vertex AI usage.
- Enable billing and the Vertex AI API. The quickstart lists both as prerequisites; confirm the project is configured before sending requests.
- Choose an interface. Use the Google Gen AI SDK in a supported language or call the API with REST. Google’s quickstart includes examples for Python, Go, Node.js, Java, and REST.
- Configure project and location. Select values supported for the model and feature you intend to use. Some quickstart examples use the
globallocation, but that should not be assumed to apply to every model or operation. - Call
generateContentwith the model and content. A request can contain text and may include multiple parts or modalities. The quickstart demonstrates an image supplied through a Cloud Storage URI as well as plain text. - Inspect the response. Check returned content and metadata rather than treating a successful HTTP response alone as proof that the answer is complete or usable.
Before implementation, verify the current model ID, SDK version, location support, and feature availability in Google’s live documentation. These values can change, and the cited quickstart examples are not a current-version guarantee.
What belongs in a request?
At minimum, provide the user content the model should respond to. Depending on the task, content can include multiple parts or modalities, such as text plus an image. In Google’s quickstart, image understanding is demonstrated with an image referenced through Cloud Storage. If an application needs current external facts or an action in another system, a plain content-generation request alone does not supply those capabilities; consider grounding or function calling instead.
What is the difference between function calling and grounding?
| Approach | What it is for | Who performs the external work? |
|---|---|---|
| Function calling | Let the model propose a structured call and arguments for an application-defined function, such as retrieving data or requesting an action. | The application validates and executes the call, then returns the result to the model if the interaction should continue. |
| Grounding | Connect a response to external information, such as Google Search, Google Maps, or a developer’s own data. | The grounding or retrieval setup supplies relevant information as context; the model uses it to form a response. |
Use function calling when the application must decide or act
Function calling provides the model with function or tool declarations and a schema. The model may return a structured function call with parameters, but it does not itself execute the external operation. Application code must interpret and validate the proposed arguments, perform the operation, and pass the result back if the model needs to continue. Google identifies retrieving up-to-date information from APIs or knowledge bases, submitting forms, and updating application state as example use cases.
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Rank #2
- Google Pixel 10a is a durable, everyday phone with more[1]; snap brilliant photography on a simple, powerful camera, get 30+ hours out of a full charge[2], and do more with helpful AI like Gemini[3]
- Unlocked Android phone gives you the flexibility to change carriers and choose your own data plan; it works with Google Fi, Verizon, T-Mobile, AT&T, and other major carriers
- Pixel 10a is sleek and durable, with a super smooth finish, scratch-resistant Corning Gorilla Glass 7i display, and IP68 water and dust protection[4]
- The Actua display with 3,000-nit peak brightness shows up clear as day, even in direct sunlight[5]
- Plan, create, and get more done with help from Gemini, your built-in AI assistant[3]; have it screen spam calls while you focus[6]; chat with Gemini to brainstorm your meal plan[7], or bring your ideas to life with Nano Banana[8]
This separation matters for safety and control: treat a model-generated call as a proposal, not authorization. The application remains responsible for validation, permissions, execution, error handling, and any user confirmation required by the task.
Use grounding when the answer needs information beyond the prompt
Grounding connects a response to sources such as Google Search, Google Maps, or a developer’s own data. Retrieval-augmented generation (RAG) is a related pattern: search for relevant material and add it to the prompt so the model can answer using retrieved context. Grounding metadata can identify source types; the API reference describes web, retrieved-context, and maps chunks.
In short, function calling is the application-controlled route to a tool operation; grounding supplies external information as context for a response. They address different needs and should not be treated as interchangeable.
When is code execution useful, and what are its limits?
The code execution tool lets the model generate and run Python iteratively for supported tasks. That can help with tasks where computation is useful, but it is not a general-purpose runtime for arbitrary application code. The surfaced documentation says execution does not support file I/O and can run for at most 30 seconds. Supported model families and feature limits are version-sensitive, so check the current guide for the model and operation you plan to use.
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How should an application handle safety and incomplete responses?
Inspect response finish reasons and other returned metadata in application logic and observability. In the v1 API reference, finish reasons distinguish ordinary stopping from several cases that need different handling:
STOP: a natural stopping point or a configured stop sequence.MAX_TOKENS: the output limit was reached, so the response may be incomplete.SAFETY: the content may violate policy.RECITATION: possible recitation was detected.MALFORMED_FUNCTION_CALL: a function call could not be parsed.BLOCKLIST,PROHIBITED_CONTENT, andSPII: additional blocking or policy-related outcomes.- Model Armor-related blocking: the response was blocked by a Model Armor control.
Do not process every response as if it contains a complete answer. Decide how to handle blocked output, truncated output, malformed tool calls, and other nonstandard outcomes; log relevant metadata so that failures can be diagnosed without relying only on HTTP status.
Rank #4
- Google Pixel 10 Pro is the ultimate Pixel experience, featuring advanced AI with Gemini, unbelievable camera quality, impeccable design in two sizes, and the next-gen Google Tensor G5 chip[1]
- Unlocked Android phone gives you the flexibility to change carriers and choose your own data plan[2]; it works - Google Fi, Verizon, T-Mobile, AT&T, and other major carriers
- Get a head start on syncing your data before it even arrives: After you purchase your new Pixel, look for an email that explains how to transfer your photos, videos, passwords, and more in just a few quick steps[11]
- Pixel’s pro camera system makes everything look amazing, even in low light; capture more of the scene with advanced Google AI models, and bring out incredible details with 100x Pro Res Zoom, stunning 50 MP images, and super steady videos in 8K[10]
- Pixel 10 Pro is built with durable aluminum and Corning Gorilla Glass Victus 2 for scratch and drop resistance; the 6.3-inch Super Actua display with 3,300-nit peak brightness is easy on the eyes, even in direct sunlight[3,13,18]
The quickstart also notes that generated sections are separately evaluated for safety. Where an application consumes a multi-section response, handle safety and completeness at the appropriate section level as well as for the overall request.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What should I check before moving from a demo to production?
Confirm security support for the exact operation
Vertex AI’s security-control matrix covers controls including data residency, customer-managed encryption keys, VPC Service Controls, and Access Transparency. Support varies across model and feature rows. Check the matrix for the exact model, operation, and region; do not assume that every Gemini request supports every control.
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The throughput guide describes pay-as-you-go Dynamic Shared Quota as a shared pool without a predefined usage limit. A resource exhausted (429) response may mean that shared capacity is under temporary demand. The guide also describes reserved throughput as a fixed-price option for more predictable capacity. The cited information does not establish current pricing or enough detail to compare service guarantees, so assess those terms for the deployment rather than inferring them from the capacity model.
Best Value
- Google Pixel 7 is powered by Google Tensor G2; it’s faster, more efficient, and more secure, with the best photo and video quality yet on Pixel[1].Other camera description:Front,Rear.Bluetooth Version 5.2 with dual antennas for enhanced quality and connection.
- Unlocked Android 5G phone gives you the flexibility to change carriers and choose your own data plan[2]; works with Google Fi, Verizon, T-Mobile, AT&T, and other major carriers
- Pixel’s Adaptive Battery can last over 24 hours; when Extreme Battery Saver is turned on, it can last up to 72 hours[3]
- The 6.3-inch Pixel 7 display is super sharp, with rich, vivid colors; it’s fast and responsive for smoother gaming, scrolling, and moving between apps[4]
- Google Pixel 7 has wide and ultrawide lenses with up to 8x Super Res Zoom[5]; and Cinematic Blur brings more drama to your videos
Make the deployment choice against actual requirements
Compare the implementation options against the work your application must own and the operating constraints it must meet:
| Choice | Application ownership | Best fit to evaluate | Checks before adoption |
|---|---|---|---|
| SDK call | Uses a language client to form requests and handle responses. | A project already working in a supported SDK language. | Current SDK version, model and location support, response metadata handling, and security controls. |
| REST call | Application implements the HTTP request and response handling. | A stack or integration where a direct API request is preferable. | Authentication and request construction, error handling, model and location support, and security controls. |
| Function calling | Application defines tools, validates proposed arguments, executes operations, and returns results. | An application action or API/knowledge-base lookup under application control. | Tool schema, authorization, validation, failure handling, and supported model and region. |
| Grounding | Application or platform configuration supplies a source of external information. | Answers that need retrieved or otherwise external context. | Source choice, grounding metadata, supported model and region, and security controls. |
| Code execution | Application decides when to invoke the tool and how to use its result. | Supported tasks that benefit from iterative Python execution. | Model-family support, execution limits, lack of file I/O, and security requirements. |
Across these choices, assess whether the task needs current information or an action, which model and region support the feature, which security controls apply, how much request and response handling the application must implement, what capacity behavior is acceptable, and how safety and failures will be observed. The cited documentation does not provide a current model-by-model price or region comparison, so verify those details for the deployment you select.
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