Gemini 3.5 Flash-Lite
Language modelCard summarizedA low-latency, highly cost-effective subagent option designed for high-volume automation
Overview
Google · 01Flash-Lite, front
3.5 Flash-Lite
A low-latency, highly cost-effective subagent option designed for high-volume automation
- Cost
- $0.30 in
- Context
- 1M
- Input / output
- $0.30 / $2.50
- Max output
- 64K
- Knows up to
- March 2026
- Released
- 21 Jul 2026
An addition to the Gemini 3 series of natively multimodal reasoning models. It is cost-efficient and fast, built for high-volume, latency-sensitive tasks such as translation and classification, and also supports agentic workflows. p.2
gemini-3.5-flash-lite- Input / output per 1M
- $0.30 / $2.50
- Context window
- 1M
- Max output
- 64K
- Knows up to
- March 2026
- Reasoning
- Dynamic, thinking_level minimal / low / medium / high
- Weights
- Closed
About this card. A model card is the maker's own account of a model: what it's for, how it was trained and tested, and where it falls short. This page condenses Google DeepMind's Gemini 3.5 Flash-Lite Model Card. Every claim carries its source page.