Gemini 3.1 Flash-Lite is Google's most cost-efficient AI model in the Gemini 3 series, designed for high-volume workloads with best-in-class intelligence. It offers exceptional speed, low token pricing, and competitive performance on reasoning and multimodal benchmarks, making it ideal for scalable AI tasks. This model balances affordability with accuracy, featuring adjustable Thinking Levels for enhanced reasoning without significant delays.
Gemini 3.1 Flash-Lite
Best-in-class intelligence for your high-volume workloads

Gemini 3.1 Flash-Lite Introduction
Key Features
- Low cost at $0.25 per million input tokens and $1.50 per million output tokens
- High speed with 2.5X faster first token and 45% higher output speed compared to Gemini 2.5 Flash
- Adjustable Thinking Levels for improved reasoning accuracy without heavy lag
- Strong performance on benchmarks like GPQA Diamond and MMMU Pro, surpassing prior generations
Use Cases
- Developers integrating AI APIs for fast and cost-effective applications such as chatbots or data processors
- Startups handling high-volume tasks like email summarization, code snippet fixing, or real-time translation
- Businesses extracting and analyzing key information from large text datasets or documents efficiently
Why Startups Use It
Startups need Gemini 3.1 Flash-Lite because it provides a cost-effective and scalable AI solution, allowing them to integrate high-performance features without straining budgets. Its fast response times and efficient processing support rapid development and deployment, essential for agility and growth in competitive markets.
Alternative Options
Gemini 2.5 Flash, GPT-5 mini, Claude 4.5 Haiku, Grok 4.1 Fast
Frequently Asked Questions
What is the pricing for Gemini 3.1 Flash-Lite?
The pricing is $0.25 per million tokens for input and $1.50 per million tokens for output, making it highly affordable for high-volume usage.
How does Gemini 3.1 Flash-Lite compare to other models like Gemini 2.5 Flash?
It outperforms Gemini 2.5 Flash with 2.5X faster first token time and 45% higher output speed, while matching or exceeding quality on various benchmarks.
What tasks is Gemini 3.1 Flash-Lite best suited for?
It is optimized for high-throughput tasks such as summarization, code fixing, translation, and data extraction, where speed and cost-efficiency are critical.
Does Gemini 3.1 Flash-Lite support multimodal inputs?
Yes, it performs well on multimodal understanding benchmarks, indicating capability with diverse data types like text and images.
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