Gemini 2.0 Flash-Lite

Name: Gemini 2.0 Flash-Lite
Author: DeepMind

Chat modelGeminiGemini 2.0

Release date: 2025-02-05Updated: 2025-06-18 09:29:141,181

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 Chat model, and 1000K context length, requiring about 0 storage, under the 不开源 license, with a 86.80 score on MATH.

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

Chat model

Modality (in / out)

Text → Text

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

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

Gemini 2.0 Flash-Lite

API details

API speed

4/5

No public API pricing yet.

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 (88 / 126, 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.