Google Gemini Available Models: All Supported Models, Version Differences, Capabilities Comparison, And Access Requirements
- Michele Stefanelli
- 33 minutes ago
- 4 min read
Google Gemini models are available across multiple platforms, with each model family and version optimized for different workflows, modalities, and access needs. Understanding model options, capabilities, and access requirements is key to deploying Gemini effectively for development and production use.
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Gemini Model Families Span Gemini 3, Gemini 2.5, And Gemini 2.0, With Preview And Stable Variants.
Gemini’s primary text and multimodal models are organized into major generations—Gemini 3, Gemini 2.5, and Gemini 2.0. Each family includes both preview and stable variants, often with specialized models for pro, flash, and image generation tasks. Model availability varies by platform, with most surfaces supporting both current and prior-generation models for compatibility and flexibility.
Alongside text and multimodal models, Gemini offers lines for image generation, embeddings, audio, video (Veo), and music (Lyria), each with unique capabilities and release timelines.
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Google Gemini Model Catalog
Model Code | Generation | Stage | Input Types | Output Types |
gemini-3-pro-preview | Gemini 3 | Preview | Text, Image, Video, Audio, PDF | Text |
gemini-3-flash-preview | Gemini 3 | Preview | Text, Image, Video, Audio, PDF | Text |
gemini-2.5-pro | Gemini 2.5 | Stable | Text, Image, Video, Audio, PDF | Text |
gemini-2.5-flash | Gemini 2.5 | Stable | Text, Image, Video, Audio | Text |
gemini-2.5-flash-lite | Gemini 2.5 | Stable | Text, Image, Video, Audio, PDF | Text |
gemini-2.0-flash | Gemini 2.0 | Latest | Text, Image, Video, Audio | Text |
gemini-2.0-flash-001 | Gemini 2.0 | Stable Pin | Text, Image, Video, Audio | Text |
gemini-2.0-flash-lite | Gemini 2.0 | Latest | Text, Image, Video, Audio | Text |
gemini-2.0-flash-preview-image-generation | Gemini 2.0 | Preview | Text, Image, Video, Audio | Text, Image |
gemini-3-pro-image-preview | Gemini 3 | Preview | Text, Image | Text, Image |
The model code and generation dictate supported inputs, outputs, and platform features.
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Version Differences Reflect Naming Conventions And Release Stages For Each Model.
Gemini models are offered in stable, preview, latest, and experimental forms, distinguished by their naming conventions. Stable codes point to fixed, production-ready releases. Preview and latest aliases allow early access to new features but may change without notice. Experimental variants provide access to features still in testing or early rollout.
The model code format (such as gemini-2.5-pro or gemini-3-flash-preview) reflects the underlying family, stage, and specialization—helping developers and enterprises match models to their performance and stability needs.
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Gemini Model Naming And Versioning
Model Type | Stable Pin | Preview | Latest Alias | Experimental |
Gemini 3 Pro | Not yet stable | gemini-3-pro-preview | N/A | N/A |
Gemini 2.5 Pro | gemini-2.5-pro | N/A | N/A | N/A |
Gemini 2.0 Flash | gemini-2.0-flash-001 | N/A | gemini-2.0-flash | gemini-2.0-flash-exp |
Model version impacts production safety, deprecation timeline, and update policy.
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Capabilities Comparison Shows Differences In Input, Output, Context Size, And Tools.
Model capabilities vary most around input/output modality, token limits, and tool support. Gemini 3 Pro and Flash preview models are optimized for reasoning, multimodal input (including PDF), and support for advanced tool use, such as code execution and file search.
Gemini 2.5 Pro offers long-context reasoning and PDF support, while Flash and Flash-Lite variants focus on speed, scale, and cost efficiency. Gemini 2.0 models have lower output token limits and reduced tool support, but remain useful for high-volume or lower-latency tasks. Image and audio generation models offer different limits, and are often restricted by region or API surface.
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Gemini Model Capability Comparison
Model | Max Input Tokens | Max Output Tokens | PDF Support | Tooling Support |
gemini-3-pro-preview | 1,048,576 | 65,536 | Yes | Code execution, caching, file search, function calling |
gemini-3-flash-preview | 1,048,576 | 65,536 | Yes | Multimodal tools, rapid response |
gemini-2.5-pro | 1,048,576 | 65,536 | Yes | Long-context reasoning |
gemini-2.5-flash | 1,048,576 | 65,535 | No | Price-performance optimized |
gemini-2.5-flash-lite | 1,048,576 | 65,535 | Yes | Low latency, multimodal |
gemini-2.0-flash | 1,048,576 | 8,192 | No | Fast, basic tools |
gemini-2.0-flash-001 | 1,048,576 | 8,192 | No | Pinned for stability |
gemini-2.0-flash-preview-image-generation | 32,768 | 8,192 | No | Text and image output |
Each model’s capability profile matches a different application need.
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Access Requirements Are Platform-Specific And Governed By Billing, Region, And API Enablement.
Gemini model access depends on which API provider or Google platform you use. Google AI Studio provides API keys for development, and access is determined by account status, quotas, and enabled models. Vertex AI requires a Google Cloud project with billing enabled, and model availability can vary by location and project configuration.
Some advanced models and image generation tools require the pay-as-you-go Blaze billing tier, with region-specific restrictions for certain preview models. Programmatic listing of available models is possible via the Gemini Developer API and Vertex AI endpoints, allowing teams to confirm which models can be called in their environment.
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Gemini Model Access Requirements By Platform
Platform | Access Needs | Model Availability |
Google AI Studio | API key, account quotas | Preview, latest, and stable text/multimodal models |
Vertex AI | Cloud project, billing, location | Stable and preview models, region-dependent |
Firebase AI Logic | Linked Google Cloud, Blaze billing | Latest/preview for most Gemini 3 and 2.5 models |
Billing and region determine which models are exposed and callable.
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Gemini Model Selection Enables Multimodal, Reasoning, And Generative Workflows At Scale.
Google Gemini’s model catalog includes stable, preview, and specialized options for multimodal reasoning, long-context processing, and generative media. Choosing the right model and platform unlocks tailored capabilities for text, images, code, and document processing, with flexible access for developers and enterprises.
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