Google Gemini Models (2026): List of Every Version and What It’s Best For

Gemini 3.1 Pro is the strongest choice for complex reasoning, advanced coding, and multi-step agentic workflows. Try out the model when you need high accuracy and depth of planning.

Gemini 3.1 Flash-Lite Preview is designed for fast, affordable processing across large volumes of requests. It works best for classification, simple extraction, tagging, ASR tasks, and cost-sensitive automation.

Gemini 3.1 Flash Live Preview is optimized for low-latency, audio-to-audio conversations and voice-first AI apps. You can use the Flash Live Preview model to get live assistants, support agents, and interactive experiences that need natural responses quickly.

Gemini 3 is built for deeper reasoning across text, images, video, audio, and code. It is especially useful for learning complicated topics, building interactive tools, planning projects, and analyzing multimodal information.

Gemini 2.5 Pro is a good choice if you need a model to carry out code review, technical documents, large datasets, and professional analysis without needing the latest Gemini 3.1 capabilities.

For everyday content, summaries, research, and responsive chat experiences, Gemini 2.5 Flash offers a practical balance of speed and quality, making it one of the best Google AI models for teams that need reliable output at a production scale.

Combines pro-level world knowledge and reasoning with flash-tier speed for rapid, high-quality production. It features integrated image search grounding and precise subject consistency for up to 5 characters.

This advanced model uses "Thinking" to reason through detailed prompts, resulting in high-fidelity text and intricate compositions. It supports up to 4K resolution and grounded image generation using real-time information from Google Search.

This model handles rapid creative iterations and high-velocity workflows. It provides native multimodal understanding to bridge the gap between conceptualizing and creating coherent visuals

Gemini Embedding 2 helps power search, clustering, semantic matching, and retrieval-augmented generation workflows. Use it when your product needs to understand meaning across large collections of content, not just match keywords.

Gemma 4 is tailored to open-source AI workflows, custom experimentation, and teams that want more deployment control. It is a useful option for developers building lightweight, customizable, or self-managed AI systems.

Veo 3.1 is designed for cinematic AI video generation, creative storyboarding, and polished visual content. Using this model as part of a team can help you create ads, product visuals, social video, or concept clips from text and image prompts.

Imagen 4 and Gemini image models are built for high-quality visuals and creative production workflows. Gemini’s native image models also support conversational editing and grounded image generation.