Gemini Chat

  • Nano Banana

byGoogle

High-speed multimodal reasoning, long-context document analysis, and natural conversational image generation

Launch Gemini Chat
Gemini Chat

How Google Gemini Chat works

From raw multimodal uploads to parameter tuning, Gemini routes complex reasoning and creative generation through a unified conversational interface.

Frame your multimodal prompt

Frame your multimodal prompt

Enter instructions and attach text, images, long-form audio, or video files into the prompt window.

Tune reasoning and parameters

Tune reasoning and parameters

Select your preferred Gemini model, set temperature to zero for deterministic logic, and define system guardrails.

Receive text or visual output

Receive text or visual output

Get structured Markdown analysis, step-by-step code execution, or native image generations directly in chat.

What Google Gemini Chat is good at

Unite frontier reasoning capabilities, 2-million-token context windows, and native image generation across an adaptable multi-model workspace.

Long-Context Multimodal Reasoning

Long-Context Multimodal Reasoning

Process up to 2 million tokens across video, audio recordings, and massive documents in a single conversational turn with native context retention.

Conversational Image Generation

Conversational Image Generation

Generate and refine visual assets in-flight using the Nano Banana engine, translating descriptive lighting and layout instructions into photographic frames.

Direct and Aggregated Routing

Direct and Aggregated Routing

Switch between direct routing for stable standard execution and aggregated routing to access experimental preview models and custom endpoints.

Deterministic Logic and Code Execution

Deterministic Logic and Code Execution

Lock temperature to 0.0 for zero-variance JSON schema extraction, structured parsing, and reliable multi-step algorithmic troubleshooting.

Made with Google Gemini Chat

Explore structured document intelligence, code architecture synthesis, and high-fidelity visual generation created across Gemini models.

Atmospheric underwater cinematography with high-contrast color grading

Atmospheric underwater cinematography with high-contrast color grading

Multi-point architectural analysis and environmental diagnostics

Multi-point architectural analysis and environmental diagnostics

Graphic poster composition with tactile mixed-media textures

Graphic poster composition with tactile mixed-media textures

Commercial product photography with precise studio edge lighting

Commercial product photography with precise studio edge lighting

High-density technical document synthesis and executive summaries

High-density technical document synthesis and executive summaries

What people build with Google Gemini Chat

Discover how technical architects, creative directors, and data researchers deploy Gemini for multi-step reasoning and multimodal workflows.

Video and Audio Archival Analysis

01

Ingest hours of unedited interviews, board hearings, or raw footage in a single pass to generate timestamped transcripts, thematic summaries, and speaker-attributed takeaways.

Rapid Concept Art and Prototyping

02

Iterate on visual concepts and character styling through conversational natural-language prompts using the integrated Nano Banana visual generator.

Complex Technical Architecture Design

03

Transform vague software requirements into production-ready system designs, complete with sequence diagrams, API schemas, and failure recovery protocols.

Automated Data Extraction and RAG

04

Parse complex multimodal documents—combining charts, tables, blueprints, and text—into strict JSON schemas for downstream agentic pipelines.

Interactive Storyboarding and Creative Direction

05

Build multi-shot narrative storyboards and scene treatments, combining descriptive script breakdowns with generated visual composition references.

Frequently Asked Questions

Nano Banana refers to the gemini-2.5-flash-image model variant designed for conversational image generation and visual editing directly within chat. It consumes 1,290 output tokens per image and produces crisp, physically consistent visual assets adhering to natural language prompts.

The Generic endpoint connects directly to native model execution for standard pricing and baseline stability, while the Openrouter endpoint routes through an aggregated router to unlock preview models, legacy checkpoints, and alternative failovers with slight additional routing overhead.

Use the Openrouter endpoint when experimenting with preview builds such as gemini-3.1-pro-preview or legacy versions that require aggregated routing. For standard production workloads utilizing defaults like gemini-3.5-flash, the Generic endpoint provides direct, reliable execution.

Gemini Chat excels at multi-step agentic workflows, long-context reasoning over extensive video and audio files, structured code extraction, and conversational image generation via Nano Banana. It is less suited for flowery, stylized creative prose or unstructured free-form writing.

Gemini Chat natively accepts text, images, PDF documents, audio files, and video streams. Audio files consume 25 tokens per second, while video is sampled at 1 frame per second, allowing up to 45 minutes of video analysis within Flash models' context limits.

Try Google Gemini Chat on Fuser

High-speed multimodal reasoning, long-context document analysis, and natural conversational image generation

Launch Gemini Chat