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Gemini 3.5 Flash-Lite: Built for Low-Latency, High-Throughput Tasks

The Gemini 3 lineup just welcomed its newest heavyweight contender in the lightweight division: Gemini 3.5 Flash-Lite. Standing as the latest masterpiece in the Gemini 3 family of high-performance, native multimodal reasoning models, this engine is meticulously crafted for the next generation of AI deployment.

Optimized to tackle high-volume, low-latency tasks without burning through your budget, Gemini 3.5 Flash-Lite delivers blazing-fast performance alongside remarkable cost-efficiency. More than just a speed demon, it offers native support for complex agentic workflows, making it the ideal backbone for autonomous AI agents that require rapid-fire, real-time decision-making.

Gemini 3.5 Flash-Lite specs at a glance

Spec	Gemini 3.5 Flash-Lite
Context window	1M tokens
Input modalities	Text, Image, Audio, Video, PDF
Output	Text
Reasoning	Yes - efforts: minimal, low, medium, high
Best for	High-volume, latency-sensitive reasoning tasks

Key Features of Gemini 3.5 Flash-Lite

Flexible Thinking Levels: Gemini 3.5 Flash-Lite features four modes-minimal, low, medium, and high—to dynamically scale reasoning depth based on task complexity.

Low Latency: 3.5 Flash-Lite is the fastest model in the 3.5 series. As measured by Artificial Analysis, it runs at 350 output tokens/s.

Built-in Computer Use: Enables Gemini 3.5 Flash-Lite to reliably execute agentic tasks by interacting directly with software and digital interfaces across platforms.

Cost-Efficient: Priced at $0.30 per million input tokens and $2.50 per million output tokens, Gemini 3.5 Flash-Lite delivers significantly higher quality than 3.1 Flash-Lite.

Ideal Use Cases For Gemini 3.5 Flash-Lite

High-Volume Document Processing: Ingesting massive amounts of text, images, and PDFs to instantly extract structured information and summaries at a highly cost-efficient rate.

Real-Time Search & Classification: Delivering sub-second response times for high-throughput enterprise pipelines, including live semantic search, content moderation, and large-scale data categorization.

Coding Tasks: Accelerating development pipelines by providing near-instantaneous code generation, routine debugging support, and rapid autocomplete suggestions where low latency is critical.

Gemini 3.5 Flash-Lite vs Other AI Models

Spec	Gemini 3.5 Flash-Lite	Gemini 3.6 Flash	Gemini 3.5 Flash	Gemini 3.1 Pro
Primary Focus	Low-latency & high-throughput agentic tasks. Built for maximum speed and cost-efficiency at scale.	Next-gen balanced reasoning. Engineered for mainstream production pipelines requiring high speed and smarter execution.	Standard high-speed reasoning. The original baseline for mainstream enterprise apps and tool orchestration.	High-capacity context processing. Legacy benchmark standard for large context windows and stable enterprise reasoning.
Input Price(per 1M tokens)	$0.30	$0.75 – $1.50	$1.50	$7.00
Generation Speed	~350 tokens/sec	~140 tokens/sec	~136 tokens/sec	~60–70 tokens/sec
Computer Use Ability	Natively Supported	Natively Supported	Natively Supported	Limited
Thinking Effort Support	Minimal, Low, Medium, High	Minimal, Low, Medium, High	Minimal, Low, Medium, High	Low, Medium, High