Gemini 2.0 Pro Experimental

Name: Gemini 2.0 Pro Experimental
Author: DeepMind

Chat modelGemini 2.0

Release date: 2025-02-05Updated: 2025-03-26 07:24:32887

Live demoGitHubHugging FaceCompare

Parameters

Not disclosed

Context length

2000K

Chinese support

Supported

Reasoning ability

Gemini 2.0 Pro Experimental is an AI model published by DeepMind, released on 2025-02-05, for Chat model, and 2000K context length, requiring about 0GB storage, under the 不开源 license, with a 91.80 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 Pro Experimental

Model basics

Reasoning traces

Not supported

Thinking modes

Thinking modes not supported

Context length

2000K tokens

Max output length

8K tokens

Model type

Chat model

Modality (in / out)

Text, Image, Audio, Video → Text

Release date

2025-02-05

Model file size

0GB

MoE architecture

Total params / Active params

No data / N/A

Knowledge cutoff

No data

Gemini 2.0 Pro Experimental

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

https://gemini.google.com/

Gemini 2.0 Pro Experimental

Official resources

Paper

Gemini 2.0: Flash, Flash-Lite and Pro

DataLearnerAI blog

Gemini 2.0 Pro Experimental

API details

API speed

4/5

No public API pricing yet.

Gemini 2.0 Pro Experimental

Benchmark Results

Gemini 2.0 Pro Experimental currently shows benchmark results led by MATH (4 / 42, score 91.80), SimpleQA (15 / 45, score 44.30), MMLU (28 / 65, score 86.50). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.