Sub-100ms Low Latency
Optimized for an instant-feel, the gemini 3.5 flash api is ideal for gaming NPCs and responsive customer service agents.
gemini-3.5-flash-lite / file-analysis
The Gemini 3.5 Flash API delivers an ultra-efficient, sub-second latency model for high-frequency tasks. With a 1M token context window and native multimodal support, it is the cost-optimized choice for developers on GPTProto.com.
$ 0.18
$ 0.3
file
$ 1.5
$ 2.5
text
Gemini 3.5 Flash API Key Features
Technical highlights that make the gemini 3.5 flash api the leader in efficiency and multimodal performance.
Native Multimodal Vision
Gemini natively understands PDFs, video, and audio, scoring 68.2% on the MMMU benchmark for visual reasoning.
Cost-Optimized API Pricing
At $0.075 per 1M input tokens, this is the most affordable model in the gemini family for high-scale production.
1M Token Context Window
Process massive datasets or entire books in a single gemini request, enabling comprehensive long-context analysis.
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 API Common Questions
Get expert answers about integrating the gemini 3.5 flash api into your production environment and understanding its unique capabilities.
How fast is the gemini 3.5 flash api for text tasks?
This gemini model is built for speed, delivering a sub-100ms time to first token. It is roughly 30-40% faster than the standard version for text prompts, making gemini perfect for interactive chatbots.
Is my data used to train the gemini model?
No. When you access gemini through our platform, your data is not used to train the underlying foundation models. We prioritize security and privacy for all gemini 3.5 flash api interactions.
Can gemini process large PDF documents?
Yes, gemini supports PDF files up to 1,000 pages or 50MB. The gemini 3.5 flash api uses native vision to interpret charts, diagrams, and tables within the document context effectively.
How do I migrate to the gemini 3.5 flash api?
Migration is simple since our gemini endpoint is OpenAI-compatible. Just update your base URL and change the model parameter to gemini-3.5-flash-lite to start using the api immediately.
What are the reasoning limits of this gemini version?
While gemini is excellent for classification and summarization, it may struggle with advanced calculus or complex logic. For high-stakes reasoning, we recommend routing those specific queries to Gemini Pro.
Does gemini support structured data extraction?
Absolutely. The gemini 3.5 flash api features an optimized internal head for JSON schema adherence, achieving a 98% success rate on complex nested extraction tasks for developers.