Gemini 2.0 Flash-Lite

Name: Gemini 2.0 Flash-Lite
Availability: InStock
Author: DeepMind

聊天大模型

Release date: 2025-02-05更新于: 2025-06-18 09:29:141,174

Live demoGitHubHugging FaceCompare

Parameters

Not disclosed

Context length

1000K

Chinese support

Supported

Reasoning ability

Gemini 2.0 Flash-Lite is an AI model published by DeepMind, released on 2025-02-05, for 聊天大模型, and 1000K tokens context length, requiring about 0 storage, under the 不开源 license.

Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

Gemini 2.0 Flash-Lite

Model basics

Reasoning traces

Not supported

Thinking modes

Thinking modes not supported

Context length

1000K tokens

Max output length

No data

Model type

聊天大模型

Release date

2025-02-05

Model file size

MoE architecture

Total params / Active params

No data / N/A

Knowledge cutoff

No data

Gemini 2.0 Flash-Lite

Open source & experience

Code license

不开源

Weights license

不开源- 不开源

GitHub repo

GitHub link unavailable

Hugging Face

Hugging Face link unavailable

Live demo

No live demo

Gemini 2.0 Flash-Lite

Official resources

Paper

Gemini 2.0: Flash, Flash-Lite and Pro

DataLearnerAI blog

Google发布Gemini 2.0 Pro：谷歌历史上最强的大语言模型，最高上下文长度支持200万tokens！

Gemini 2.0 Flash-Lite

API details

API speed

4/5

💡Default unit: $/1M tokens. If vendors use other units, follow their published pricing.

Standard pricingStandard

Modality	Input	Output
Text	$0.075	$0.3

Gemini 2.0 Flash-Lite

Benchmark Results

Gemini 2.0 Flash-Lite currently shows benchmark results led by MATH (8 / 42, score 86.80), SimpleQA (31 / 45, score 21.70), MMLU Pro (86 / 124, score 71.60). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.