Sub-100ms Latency
Gemini 3.5 Flash delivers near-instant responses for high-frequency user interactions.
gemini-3.5-flash-lite
Gemini 3.5 Flash is a cost-optimized, ultra-low latency model by Google. It features a 1M token context window and native multimodal support for text, video, and audio tasks at scale.
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Gemini 3.5 Flash Key Features
Discover the technical advantages that make Gemini 3.5 Flash a leader in high-speed AI.
Native Multimodal Support
Gemini natively understands text, images, audio, and video without external dependencies.
98% JSON Accuracy
Reliable structured data extraction optimized for complex, nested JSON schemas in Gemini.
1M Token Context Window
Process massive datasets and long documents effortlessly with Gemini's million-token capacity.
How to Get a gemini-3.5-flash-lite API Key
Getting a gemini-3.5-flash-lite 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 $0.18 / $1.5 it's a cheaper gemini-3.5-flash-lite API key than going direct, and one key works across every model on the platform. Full gemini-3.5-flash-lite 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-3.5-flash-lite, 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-3.5-flash-lite.
Make your first API call
Use your API key with our sample code to send a request to gemini-3.5-flash-lite via GPT Proto and see instant AI-powered results.
Gemini 3.5 Flash Frequently Asked Questions
Get clear answers about Gemini 3.5 Flash latency, pricing, and multimodal capabilities.
How does Gemini 3.5 Flash reduce latency?
Gemini 3.5 Flash delivers sub-100ms Time To First Token (TTFT). It is optimized for 'instant-feel' applications, making it approximately 30-40% faster than standard models for text prompts, which is critical for real-time chat and interactive tools.
What is the context limit for Gemini 3.5?
This model maintains the signature 1,048,576 token context window. This allows Gemini 3.5 Flash to ingest entire technical manuals, legal archives, or up to an hour of video content in a single prompt for comprehensive analysis at a minimal cost.
Can Gemini 3.5 Flash handle images and video?
Yes, Gemini is natively multimodal. Unlike lite models that only support text, Gemini 3.5 Flash processes images, audio, and video (up to 1 hour) directly. It achieves a 68.2% score on the MMMU benchmark, outperforming many larger competitors.
Is Gemini 3.5 Flash cheaper than other models?
At $0.075 per 1M input tokens, Gemini 3.5 Flash is roughly 50% cheaper than the standard Flash version. It is the most cost-effective model per token in the 3.5 family, offering a 50% discount on cached input tokens for further savings.
Does Gemini 3.5 Flash support JSON mode?
Gemini features an optimized internal head for strict JSON schema adherence. It boasts a 98% success rate on complex nested extraction tasks, making it ideal for developers who need structured data for automated pipelines and tool routing.
How do I migrate to Gemini from GPT-4o-mini?
Migration is straightforward. Simply update your API model parameter to gemini-3.5-flash-lite and point your base URL to our unified endpoint. Most prompt structures remain compatible, requiring only minimal adjustments for specific multimodal inputs.