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Google Gemini All Models Available: 2025 lineup, capabilities, and context limits

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Google’s Gemini family has expanded into a unified suite of AI models covering reasoning, multimodal processing, real-time voice, and image generation. As of 2025, the available Gemini models include 2.5 Pro, 2.5 Flash, 2.5 Flash-Lite, 2.0 Flash, 2.0 Flash-Lite, Live and TTS variants, and dedicated image-generation endpoints. Each model targets a specific balance of reasoning power, latency, and price-performance ratio, while sharing a common multimodal architecture capable of understanding text, images, audio, video, and PDF inputs.

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The core model defines Gemini’s reasoning performance.

The flagship Gemini 2.5 Pro is Google’s primary reasoning model, built to handle the most complex analytical workloads. It supports a 1,048,576-token input context and a 65,536-token output, providing the largest reasoning capacity currently available in Google’s ecosystem.

Gemini 2.5 Pro processes multiple input types — including text, images, audio, video, and PDF documents — and outputs structured text responses. It supports function calling, structured outputs, batch APIs, caching, and “thinking” steps, allowing developers to use it for code generation, document analysis, and research tasks. The model was last updated in mid-2025 and remains the default for Gemini Advanced subscribers.

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The Flash family prioritizes speed and price efficiency.

The Gemini 2.5 Flash series represents Google’s optimized tier for low-latency, high-throughput use cases. Like the Pro model, Flash supports multimodal inputs and long contexts, but focuses on cost and speed over deep reasoning. It offers the same 1,048,576-token input limit and 65,536-token output limit, making it suitable for summarization, chatbots, and production pipelines where performance per token matters.

Gemini 2.5 Flash appears in three versions:

  • Gemini 2.5 Flash (Standard) — the stable release for most developers.

  • Gemini 2.5 Flash (Preview) — an updated September 2025 build with new reasoning and efficiency improvements.

  • Gemini 2.5 Flash-Lite — an ultra-fast, lightweight variant optimized for lower-cost applications and high concurrency environments.

All Flash versions include function calling, structured outputs, and batch processing, and they retain multimodal capabilities identical to the Pro model, including PDF and image reading.

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Previous-generation models remain widely supported.

Google continues to maintain its Gemini 2.0 series for compatibility and cost-sensitive workloads. These models are smaller and slightly less capable but remain fully integrated into Google AI Studio and Vertex AI.

  • Gemini 2.0 Flash provides a 1,048,576-token input and 8,192-token output, maintaining the same 1M context limit but with a smaller output window.

  • Gemini 2.0 Flash-Lite offers identical limits but further reduces latency and cost.

  • Gemini 2.0 Flash Live adds real-time streaming support, accepting text, audio, and video inputs with low-latency conversational output.

These models remain popular for applications requiring rapid generation, conversational responsiveness, or light data workloads.

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Live and voice-enabled Gemini models expand real-time use.

The Gemini Live and Native Audio variants enable real-time multimodal interaction. These models can process voice, video, and text simultaneously, returning both audio and text outputs.

The main voice-enabled models include:

  • Gemini 2.5 Flash Live (Native Audio) — supports live input and spoken output, ideal for conversational AI assistants and voice-enabled search.

  • Gemini 2.5 Flash TTS and Gemini 2.5 Pro TTS — text-to-speech variants that generate natural-sounding audio responses.

  • Gemini 2.0 Flash Live — earlier real-time streaming model that supports both audio and video in 1M-token contexts.

Each of these models supports function calling and real-time inference, allowing them to integrate directly into voice applications and live agent systems. The live models use smaller windows (approximately 128,000 tokens input and 8,000 output) to maintain responsiveness.

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Image generation models complete the multimodal spectrum.

Google has expanded Gemini’s architecture to include image generation through the Gemini 2.5 Flash Image and Gemini 2.0 Flash Image variants.

  • Gemini 2.5 Flash Image supports 32,768 input and 32,768 output tokens, enabling both text and image inputs with generated image outputs.

  • Gemini 2.0 Flash Image operates on similar principles but remains in preview status in several regions.

These models allow users to provide text prompts and optional reference images to generate visual outputs. Unlike the text-based Gemini models, image endpoints do not support function calling, focusing solely on generative rendering.

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Emerging category: agentic and “computer use” Gemini.

In late 2025, Google introduced the first public Gemini 2.5 Computer Use agent — a prototype model designed to control a browser or local environment. This agentic version performs structured actions such as filling forms, retrieving documents, or automating web tasks through contextual understanding.

The Computer Use model is integrated within Google AI Studio and Vertex AI, positioned as a developer tool for automation and digital workflows. It shares the same 1M input context as Flash and Pro models, ensuring consistency across the ecosystem.

This launch signals Google’s transition from pure language modeling toward agentic AI, where models perform actions rather than just provide text outputs.

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Table — Gemini model families, token limits, and core capabilities.

Model Family

Model Codes

Input / Output Tokens

Key Capabilities

Output Types

Gemini 2.5 Pro

gemini-2.5-pro

1,048,576 / 65,536

Deep reasoning, multimodal, structured output

Text

Gemini 2.5 Flash

gemini-2.5-flash, gemini-2.5-flash-preview-09-2025

1,048,576 / 65,536

Fast generation, batch processing, function calling

Text

Gemini 2.5 Flash-Lite

gemini-2.5-flash-lite, gemini-2.5-flash-lite-preview

1,048,576 / 65,536

Low-latency, cost-efficient workloads

Text

Gemini 2.5 Flash Live / Audio

gemini-live-2.5-flash-preview, gemini-2.5-flash-native-audio-preview

128,000 / 8,000

Real-time voice, audio & text input/output

Audio + Text

Gemini 2.5 Flash TTS / Pro TTS

gemini-2.5-flash-preview-tts, gemini-2.5-pro-preview-tts

8,000 / 16,000

Text-to-speech generation

Audio

Gemini 2.5 Flash Image

gemini-2.5-flash-image

32,768 / 32,768

Text-to-image generation

Images + Text

Gemini 2.0 Flash

gemini-2.0-flash

1,048,576 / 8,192

Legacy fast model; Live API support

Text

Gemini 2.0 Flash-Lite

gemini-2.0-flash-lite

1,048,576 / 8,192

Lightweight, cost-efficient version

Text

Gemini 2.0 Flash Live

gemini-2.0-flash-live-001

1,048,576 / 8,192

Audio/video real-time interaction

Audio + Text

Gemini 2.0 Flash Image (Preview)

gemini-2.0-flash-preview-image-generation

32,000 / 8,192

Image generation preview

Images + Text

Gemini 2.5 Computer Use

(developer preview)

1,048,576 / 65,536

Browser and workflow automation

Actions + Text

This table outlines the full Gemini lineup, illustrating how each model family aligns around context capacity, performance level, and output type.

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Where the models are deployed.

Gemini models are accessible through three main environments:

  • Gemini Apps (consumer): integrated into Gmail, Docs, and Android, using Gemini 2.5 Pro for Advanced subscribers and 2.5 Flash for free-tier users.

  • Google AI Studio: developer environment providing direct model selection, function calling, and evaluation tools for all available endpoints.

  • Vertex AI (enterprise): production-grade access for cloud workloads, batch inference, fine-tuned deployments, and observability.

Each environment automatically updates to the latest stable or preview versions while maintaining API compatibility.

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Summary of the Gemini 2025 model ecosystem.

As of 2025, Google Gemini encompasses a complete multimodal AI stack spanning reasoning, speed, real-time interactivity, and image generation. Gemini 2.5 Pro leads in intelligence and depth, 2.5 Flash and Flash-Lite dominate in speed and efficiency, and Live and Image variants expand Gemini’s scope into voice and visual content.

The introduction of Gemini 2.5 Computer Use marks the beginning of Gemini’s transition from static model inference to agentic, action-driven behavior. Together, these models define the most comprehensive AI system Google has released to date, designed for both end users and enterprise developers seeking scalable multimodal intelligence.

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