Gemini 2.5 Flash‑Lite: Fast, Affordable AI for Scale
Delivers optimized reasoning performance over text, image, audio, video, and PDF
High-throughput, multimodal, and reasoning-ready
Gemini 2.5 Flash‑Lite is DeepMind’s most cost-efficient model in the 2.5 lineup, optimized for high-throughput reasoning across text, image, audio, video, and PDF inputs. It supports a 1,048,576-token context window and generates up to 65,536 output tokens per call—ideal for enterprise workflows requiring full-document analysis, long-horizon reasoning, or multi-turn state retention. With sub‑250ms latency to first token and ~480 tokens/sec generation speed, Flash‑Lite combines scale, speed, and affordability for production-grade deployment.
Dynamic “thinking” control
Control internal reasoning computations via API to match task complexity
1M token context window
Handle entire documents, codebases, or long multimedia interactions seamlessly
Multimodal input support
Process text, images, video, audio, and PDF in a single call, enabling unified interactions
Enterprise Use Cases
Reliable AI for Multimodal Automation
Document & Code
Process and analyze large documents, codebases, and PDFs with structured output.
Multimedia Processing
Automatically process and interpret combined text, audio, image, or video inputs.
Interactive Agent
Power bots and agents with real-time capabilities and web grounding across diverse formats.
Technical Comparison
How Flash‑Lite stacks up against the most relevant lightweight AI models in the market
vs Gemini 2.5 Flash
Flash‑Lite delivers lower latency (0.22s first-token), faster output (480 t/s), and better pricing—ideal for enterprise integrations and high load.
Learn more about Gemini 2.5 Flash.
vs Claude 4 Sonnet
Claude 4 Sonnet provides stronger general reasoning and alignment in dialogue, but Gemini 2.5 Flash‑Lite is faster and better suited for high-throughput document workflows thanks to its massive context window and real-time latency.
Learn more about Claude 4 Sonnet.
vs Command R+
Command R+ supports longer generations and better JSON formatting, but Flash‑Lite wins on multimodal input, inference speed, and response latency.
Learn more about Command R+.
Why Choose AI/ML API solution?
AI/ML API provides scalability, faster deployment, and access to 200+ advanced machine learning models without the need for extensive in-house expertise or infrastructure.
Easy To Use
Our API allows seamless integration of powerful AI capabilities into your applications, regardless of your coding experience. Simply swap your API key to begin using the AI/ML API.
Scalable
AI/ML API provides flexibility for business growth since you can scale resources by purchasing more tokens as needed, ensuring optimal performance and cost efficiency
Affordable
We offer flat, predictable pricing, payable by card or cryptocurrency, keeping it the lowest on the market and affordable for everyone.
Getting Started with Gemini 2.5 Flash-Lite API
Visit AI Playground to quickly try Imagen.
For more information about technical features, please refer to Gemini 2.5 Flash Lite documentation.
import requests
response = requests.post(
"https://api.aimlapi.com/v1/chat/completions",
headers={"Authorization":"Bearer <YOUR_AIMLAPI_KEY>","Content-Type":"application/json"},
data=json.dumps({
"model": "google/gemini-2.5-flash-lite-preview",
"messages": [
{
"role": "user",
"content": "text",
"name": "text"
}
],
"max_completion_tokens": 512,
"max_tokens": 512,
"stream": False,
"stream_options": {
"include_usage": True
},
"n": 1,
"temperature": 1,
"top_p": 1,
"stop": "text",
"frequency_penalty": 1,
"prediction": {
"type": "content",
"content": "text"
},
"presence_penalty": 1,
"seed": 1,
"response_format": {
"type": "text"
},
"reasoning_effort": "low"
})
)
data = response.json()
