aiaimodel.cards

Gemini 3.1 Flash-Lite

Language modelPrevious generationCard summarized

A cost-efficient model, optimized for high-volume agentic tasks, translation, and simple data processing

Stable (GA); shutdown scheduled · retires not before 7 May 2027 (replacement: gemini-3.5-flash-lite)● Re-checked 12 Oct 2026 · 22 facts · 0 correctionsSource: Gemini 3.1 Flash-Lite Model Card (7 pp)

Use it via API

$155 /month
$3.09 per 1K requests
RAG over docs: 12K in · 600 out · 50K requests/mo · 30% cached · change
Code exampleCompare

Where to call it

  • Gemini APIgemini-3.1-flash-lite
  • Google Vertex AIgemini-3.1-flash-lite

Supports

  • Structured outputs
  • Tool calling
  • Web search
  • Batch API
  • Image input
  • PDF input
  • Prompt caching
Full feature support

Good for

  • High-volume, cost-efficient, low-latency tasks
  • Translation and classification (p.2)

Watch out for

Replaced by

Gemini 3.5 Flash-Lite$0.30 / $2.50

This model: $0.25 / $1.50 per 1M tokens

Compare side by side

Overview

Google · 06Flash-Lite, front

3.1 Flash-Lite

A cost-efficient model, optimized for high-volume agentic tasks, translation, and simple data processing

Cost
$0.25 in
Context
1M
Input / output
$0.25 / $1.50
Max output
64K
Knows up to
January 2025
Released
7 May 2026

An addition to the Gemini 3 series of natively multimodal reasoning models. It is cost-efficient and fast, optimized for high-volume, latency-sensitive tasks such as translation and classification. p.2

gemini-3.1-flash-lite
Input / output per 1M
$0.25 / $1.50
Context window
1M
Max output
64K
Knows up to
January 2025
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 3.1 Flash-Lite Model Card. Every claim carries its source page.