1M Context Window
Ingest massive datasets or long-form video files without losing information across the window.
gemini-2.0-flash
Gemini 2 Flash is Google's speed-optimized multimodal model. Featuring a 1-million-token context window and native real-time audio/video processing, it is designed for sub-second latency in agentic workflows and live conversational apps.
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Core Gemini 2 Flash Capabilities
Innovative features that make Gemini 2 Flash a top choice for real-time, multimodal AI applications.
Agentic Reasoning
Enhanced function calling and tool use reliability for building autonomous, multi-step agents.
Spatial Understanding
Generates normalized coordinates for objects in images, enabling advanced UI automation tasks.
Native Multimodal Input
Processes audio, video, and text natively to capture nuanced details like tone, pitch, and motion.
How to Get a gemini-2.0-flash API Key
Getting a gemini-2.0-flash API key takes four steps and a few minutes. Create a free GPTProto account, add credits, generate your key, and make your first call — at $0.06 / $0.24 it's a cheaper gemini-2.0-flash API key than going direct, and one key works across every model on the platform. Full gemini-2.0-flash Documentation is in the docs.
Sign up
Create your free GPT Proto account to begin. You can set up an organization for your team at any time.
Top up
Your balance can be used across all models on the platform, including gemini-2.0-flash, giving you the flexibility to experiment and scale as needed.
Generate your API key
In your dashboard, create an API key — you'll need it to authenticate when making requests to gemini-2.0-flash.
Make your first API call
Use your API key with our sample code to send a request to gemini-2.0-flash via GPT Proto and see instant AI-powered results.
Gemini 2 Flash Questions & Answers
Find answers to common questions about Gemini 2 Flash latency, context windows, and multimodal features for developers.
How fast is Gemini 2 Flash latency?
Gemini 2 Flash is built for sub-second response times. For short prompts, the time-to-first-token is often under 200ms, making it ideal for live voice applications and real-time customer service bots.
Does it support a 1M token context?
Yes, Gemini 2 Flash maintains a 1,048,576 token context window with high recall. This allows you to process thousands of lines of code, several full-length novels, or hours of video content in a single request.
What does native multimodality mean?
It means Gemini 2 Flash processes text, audio, and video directly without needing separate encoders. This allows it to understand nuances like tone of voice, pitch, and spatio-temporal reasoning in video.
Can Gemini 2 Flash output JSON?
Yes, it supports structured outputs and JSON mode. By providing a response schema, you can ensure Gemini 2 Flash returns valid JSON, which is perfect for reliable tool use and automated data extraction.
How is the pricing for this model?
Pricing for Gemini 2 Flash is highly competitive at $0.10 per million input tokens for prompts under 128k. Larger contexts are $0.20 per million, while output tokens cost $0.40 per million tokens.
Is my data used for model training?
No. Data sent through our enterprise-grade API endpoints is not used to train Google's foundation models or any internal models on the GPTProto platform, ensuring your proprietary data remains private.
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