Gemini 3.5 Flash-Lite

Name: Gemini 3.5 Flash-Lite
Author: Google DeepMind

Released

2026-07-21

Last refreshed

2026-07-21

Status

Researched today

ProprietaryCommercial use: conditionalMultimodalCodingRAGAgentsLong contextVisionJSON / Tool use

Gemini 3.5 Flash-Lite is worth evaluating for coding, rag, and agents when its provider route and context window match the workload.

Use it for

Teams evaluating coding, rag, and agents
Workloads that can use a 1.05m context window
Buyers comparing 1 tracked provider route

Do not use it for

Workloads where another current model has stronger sourced task evidence

Specifications

Family: Gemini 3.5
Released: 2026-07-21
Context: 1.05m
Max output: 65,536
Specialization: general
Openness: Proprietary
License: ProprietaryCommercial use: conditional
Weights: Not released
Code: Unknown

Created by

Google DeepMind

Pioneering artificial intelligence research.

London, United Kingdom

Founded 2014

Website

Pricing

Output / 1M

$2.50

Input / 1M

$0.300

Cheapest of 1 route · Google AI Studio

Providers(1)

Google AI Studio

View 1 provider route

Links

Website

About

Gemini 3.5 Flash-Lite is Google DeepMind's generally available multimodal model in the Gemini 3.5 family. It accepts text, image, video, audio, and PDF inputs and returns text, with a 1,048,576-token context window, up to 65,536 output tokens, and Gemini API support for code execution, prompt caching, and batch processing. Compare it for Coding, Agents, Long context, Vision, and JSON / Tool use. In Google AI Studio, select Gemini 3.5 Flash-Lite when lower token cost and high throughput are the priority; select Gemini 3.6 Flash when higher capability matters more.

Gemini 3.5 Flash-Lite is a proprietary model in the Gemini 3.5 family. The structured metadata tracks a 1.05m-token context window, multimodal input, audio, reasoning, function calling, tool use, structured outputs, and code execution. This page tracks provider routes through Google AI Studio, with the cheapest tracked route listed at $0.3 input and $2.5 output per 1M tokens. No headline benchmark score is tracked for Gemini 3.5 Flash-Lite yet.

Top use-case fit: coding, agents, and build tasks

Coding

Included by capability and metadata signals in the decision map.

RAG

Included by capability and metadata signals in the decision map.

Agents

Included by capability and metadata signals in the decision map.

Provider price ladder

Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.

Provider	Input / 1M	Output / 1M	Route
Google AI Studio	$0.300	$2.50	Serverless

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