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Low Reasoning

Gemini 2.5 Flash Lite

Gemini 2.5 Flash-Lite is Google's fastest and lowest-cost AI model, delivering ultra-low latency at blazing speeds of 392.8 tokens per second with a massive 1 million-token context window for latency-sensitive tasks like translation, classification, and multimodal processing. Priced at just $0.10 per million input tokens and $0.40 per output, it outperforms predecessors in coding, math, and reasoning while enabling efficient bulk operations and native tool integration.

1M Context
Low Intelligence
Jan '25 Knowledge

Available for Chat, Vision, and File Uploads.

Performance Benchmarks

Global-MMLU-Lite
81.1%
GPQA
64.6%
MMMU
72.9%

How do you want to interact?

Start a Conversation

Ask anything.
Have a natural conversation, brainstorm ideas, draft emails, or ask for advice.

Start Chatting

Use a Persona

Specialized Experts.
Instruct the AI to act as a Coding Tutor, Marketing Expert, or Travel Guide.

Pick a Persona

Why use Gemini 2.5 Flash Lite?

Massive 1M Token Context

Handles vast inputs like entire books or long documents with 1,048,576 token window for comprehensive processing

Multimodal Input Support

Processes text, images, audio, video, and PDFs for versatile applications

Ultra-Low Latency & Cost

Delivers high-speed responses at lowest pricing ($0.10/1M input, $0.40/1M output) ideal for high-volume tasks

Capability Examples

Low-Latency Classification
Classify this product review as positive, negative, or neutral: "The battery lasts forever and the screen is crisp!"
Positive. The review highlights strong battery life and display quality with enthusiastic language.
Multimodal Image Analysis
Describe this image of a mountain landscape and suggest a hiking route.[Image: Snow-capped peaks with a trail leading up.]
The image shows rugged snow-capped mountains under a clear blue sky, with a winding dirt trail ascending from a green valley base. Suggested route: Start at valley trailhead, follow path 2 miles uphill to ridgeline viewpoint, then summit via east ridge (moderate, 4-5 hours).
Fast Code Generation
Write a Python function to calculate Fibonacci numbers up to n using memoization.
python
Efficient recursive solution with memoization for speed.
fas fa-code

How to use

1
Go to Chat

Navigate to the "AI Chat" page.

2
Select Model

Ensure Gemini 2.5 Flash Lite is selected.

3
Type Prompt

Ask a question or paste code.

4
Interact

Refine the answer by replying to the AI.

Compare LLMs Side-by-Side

Is Gemini 2.5 Flash Lite better than Claude 3.5 or Gemini? Test same prompts simultaneously in the Chat Playground.

Open Chat Playground

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