Google AI Studio Available Models: All Supported Models, Version Differences, Capabilities Comparison, And Access Requirements

Google AI Studio provides access to a curated portfolio of large language models and multimodal models, each tailored for different application needs, performance profiles, and integration contexts. Model choice in AI Studio is governed by API availability, project configuration, and feature-specific requirements.

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Google AI Studio Offers A Range Of Models For Text, Code, And Multimodal Applications.

The AI Studio platform exposes Gemini models for text generation, code assistance, and multimodal workflows. The default selection includes variants designed for chat, reasoning, and structured data tasks. Model availability is continuously updated as Google expands and refines the Gemini family and legacy offerings.

Some models prioritize high-throughput, general-purpose generation, while others are tuned for advanced reasoning, creative output, or compliance with enterprise use cases.

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Google AI Studio Supported Models

Model Family	Model Name / Variant	Primary Use Case
Gemini	Gemini Pro, Gemini Pro Vision	Text, code, and multimodal tasks
Gemini Flash	Gemini Flash	Fast, low-latency generation
Codey	Codey	Code generation and completion
Legacy	PaLM 2 (text-bison, chat-bison), Imagen	Legacy support for text and image tasks

The platform regularly updates model availability based on product focus.

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Version Differences Reflect Model Size, Reasoning Capacity, And Latency Profiles.

Within the Gemini family, models such as Gemini Pro and Gemini Pro Vision are positioned for maximum reasoning depth and broad multimodal support, while Gemini Flash provides rapid, cost-efficient responses for scenarios where speed is critical.

Codey models are specialized for code-related prompts, supporting a range of programming languages, completion styles, and API integration. Legacy models like PaLM 2 remain available for backward compatibility or specialized workflows.

Version numbers and release tracks allow users to select the ideal balance of cost, reasoning, and latency, especially for production use and scaling.

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Google AI Studio Model Version Positioning

Model	Strengths	Typical Scenario
Gemini Pro	Advanced reasoning, broad coverage	General chat, analysis
Gemini Pro Vision	Multimodal reasoning	Images, charts, complex docs
Gemini Flash	Speed, low cost	High-volume tasks, rapid chat
Codey	Code context, completions	IDE integration, dev support
PaLM 2 / Imagen	Legacy capabilities	Specialized or legacy use

Version choice affects output style and performance profile.

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Capabilities Differ By Model, Supporting Text, Code, And Multimodal Reasoning.

Gemini Pro and Pro Vision lead in text and multimodal analysis, supporting robust understanding, summarization, extraction, and creative generation. Gemini Flash is best for fast response times and cost-sensitive production workloads. Codey specializes in code-centric tasks, from completion to error explanation.

Legacy models such as PaLM 2 continue to serve organizations requiring consistent, well-understood behavior, especially where migration to Gemini is not yet complete.

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AI Studio Model Capability Matrix

Model	Text Generation	Multimodal	Code Assistance	Latency	Reasoning
Gemini Pro	Yes	Yes (Vision)	Moderate	Moderate	Advanced
Gemini Flash	Yes	Partial	Moderate	Low	Standard
Codey	Yes	No	High	Moderate	Moderate
PaLM 2	Yes	No	Limited	Moderate	Standard

Capability matrix helps select the best-fit model for each task.

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Access Requirements Depend On API Keys, Project Configuration, And Feature Flags.

To use models in Google AI Studio, users must create or select a project, enable the relevant APIs, and provision API keys or OAuth credentials as needed. Some advanced or multimodal models may require opting into beta or preview access, and usage is subject to quota and billing based on the chosen model and volume.

Enterprise access may include further controls, such as organizational permissions, region-based restrictions, and compliance settings. Legacy models remain available but may require explicit selection for continuity.

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Model Access Requirements In Google AI Studio

Requirement	Details
Project setup	Create/select project in Google Cloud
API enablement	Enable Gemini API, Codey API, etc.
Authentication	API key or OAuth credentials
Feature flags	Opt-in for previews, multimodal, or new releases
Quota and billing	Usage tracked by model and request volume

Model selection is shaped by project configuration and access level.

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Google AI Studio Enables Flexible Model Selection For Diverse Workflows And Evolving Needs.

The available models in Google AI Studio empower users to address text, code, and multimodal challenges across a spectrum of latency, cost, and reasoning requirements. Version selection, capability comparison, and clear access prerequisites allow organizations and developers to integrate AI models best suited to each workflow, with the flexibility to adapt as new models and features become available.

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