Google AI Studio Models: Available Gemini, Imagen, Veo, and Gemma Families

Google AI Studio has become the central interface for experimenting with Gemini API models and related generation tools such as Imagen, Veo, and Gemma. In 2025, Google unified these model families under a single developer environment, providing access to multimodal reasoning, text-to-image, and text-to-video generation through one consistent interface. The catalog now extends from high-efficiency Gemini 2.5 Flash to open-source Gemma models, with several specialized variants for speech, real-time interaction, and visual generation.

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Gemini 2.5 Flash family offers long context and multimodal precision.

The Gemini 2.5 Flash line is the core of Google AI Studio’s model portfolio. Designed to balance cost, latency, and multimodal capacity, it supports text, images, video frames, audio, and PDF inputs within a single session.

• Gemini 2.5 Flash (gemini-2.5-flash) provides up to 1 million tokens of context, full multimodal reasoning, structured JSON output, and function calling. It is the main choice for chat, data analysis, and document understanding.

• Gemini 2.5 Flash-Lite (gemini-2.5-flash-lite) focuses on speed and affordability, using the same 1M context window but optimized for interactive applications and quick responses.

• Gemini 2.5 Flash-Image extends the model to generate and edit images directly from text prompts, producing high-fidelity visuals under the same security and watermarking standards as Imagen.

• Gemini 2.5 Flash-Live (gemini-2.5-flash-native-audio-preview-09-2025) adds real-time audio input and output, enabling continuous conversation and streaming interaction through the Gemini Live API.

• Gemini 2.5 Flash-TTS (gemini-2.5-flash-preview-tts) introduces high-quality text-to-speech generation for spoken results and narration.

These models collectively replace the earlier Gemini 2.0 Flash and 2.0 Flash-Lite releases, which remain accessible in legacy mode for developers maintaining older integrations.

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Imagen 3 integrates advanced text-to-image capabilities.

The Imagen 3 model family powers image generation inside Google AI Studio and through the Gemini API. It converts text prompts into photorealistic or stylized images while embedding SynthID watermarks to ensure authenticity tracking. Imagen 3 accepts detailed scene descriptions, reference images, and compositional adjustments, supporting both text-to-image and image-to-image transformations.

It is particularly suited for marketing, design, and research use cases where high-resolution outputs are required without leaving the Gemini ecosystem. Developers can integrate Imagen 3 through the same model selection menu as Gemini 2.5, maintaining consistent authentication and pricing.

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Veo 3 brings text-to-video generation under the same interface.

The Veo 3 and Veo 3 Fast models extend AI Studio into video generation, enabling users to transform textual scripts or image sequences into short videos. Google’s 2025 updates have linked these models with both AI Studio and Vertex AI, offering prompt-based video synthesis with scene continuity and camera-motion control.

Veo 3 produces cinematic, long-form clips, while Veo 3 Fast prioritizes speed and quick iterations for prototyping. Both rely on the same Gemini-based semantic parser, ensuring consistent prompt understanding across modalities.

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Gemma and PaliGemma families provide open, lightweight alternatives.

Beyond the large multimodal systems, Google AI Studio also exposes smaller, open-weight models for experimentation and on-device deployment.

• Gemma 3 is a compact text model optimized for reasoning and chat tasks with strong multilingual support.

• CodeGemma specializes in code completion, documentation, and structured programming output.

• PaliGemma 2 extends the framework to vision tasks, bridging image captioning and object recognition.

These models can be run directly in AI Studio for rapid prototyping or downloaded for local inference. Their inclusion demonstrates Google’s hybrid strategy—combining proprietary Gemini APIs with accessible, open models for research and education.

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How to access the full list of models.

Developers can view all active models by calling the Models API endpoint (models.list) within AI Studio or Vertex AI. The response returns each model’s ID, capabilities, input/output types, context length, and preview status. Because new models such as Gemini 2.5 Flash-Live and Imagen 3 Fast are rolling out gradually across regions, this API remains the definitive source for real-time availability.

Google regularly updates the Models page within AI Studio’s interface, labeling each model by generation (2.5, 3.0, etc.) and capability (Flash, Lite, Live, Image, TTS).

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Operational considerations for developers.

Each model family within AI Studio carries distinct performance and pricing characteristics:

• Gemini 2.5 Flash offers broad multimodal processing and 1M-token context, ideal for research and enterprise workflows.

• Gemini 2.5 Flash-Lite suits responsive chatbots and high-throughput scenarios.

• Imagen 3 and Veo 3 expand creative possibilities for image and video generation while ensuring policy compliance through watermarking and usage limits.

• Gemma models enable offline experimentation and custom fine-tuning.

The unified interface in AI Studio allows seamless transitions between these models without separate authentication, making it a single workspace for reasoning, creation, and deployment.

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