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Google Gemini

Freemium🇺🇸

Google’s multimodal AI assistant for chat, coding, research, and productivity.

86

Overall score

0

Heat score

Pricing

Free$0
Google AI Plus$3.99 / month for 2 months
Google AI Pro$19.99 / month
Google AI Ultra$124.99 / month for 3 months

Technical Specs

Inputs

Text, Image, Audio, Video, File, Code

Outputs

Text, Image, Code, Structured Data, File

AI Type

LLM

Model Architecture

Transformer

Daily Prompts

2.5B

Context Length

1M

Developer

Google DeepMind

Output Quality

Text Generation

92%

Code Generation

90%

Image Understanding

91%

Multimodal Reasoning

90%

Knowledge Retrieval

89%

Company Profile

Company

Google DeepMind

Founded

2010

HQ

Mountain View, California, United States

Employees

N/A

Total Raised / Total Funding

$3.5B

Revenue

$305B

Valuation

N/A

ARR

N/A

CEO

Demis Hassabis

Overview

Estimated Paid Users

8M

Current estimate

Total Earnings Till Date

N/A

+0.00% from last month

Market Share

25.2%

Current share

Average Session

N/A

Per active user

Hallucination Rate

14%

Model quality signal

Growth Rate

+4.08%

Monthly active users

Burn Rate

N/A

Total expenses / years active

Paid User Gain

+1.85%

Monthly paid user trend

Profit Analysis

$112.4B

Total Loss

$0

Total Profit

$391.4B

Performance Metrics

Accuracy

90%

Context

91%

Reasoning

92%

Safety

88%

Benchmarks

GPQA Diamond

86%

AIME 2025

88%

AIME 2024

92%

LiveCodeBench

69%

SWE-bench Verified

67%

MMMU

82%

Video-MME

87%

MMLU

90%

MMLU-Pro

86%

MATH-500

97%

Google Gemini Models

Gemini 3.1 Pro

Type: Reasoning

Description: Latest reasoning-first model (Feb 2026) optimized for complex agentic workflows and coding; 1M token context; multimodal I/O. Source: deepmind.google/models/gemini/pro

Context Length: 1M tokens

Architecture: Transformer

Gemini 3.1 Flash-Lite

Type: Multimodal

Description: Most cost-efficient Gemini 3-series model for low-latency high-volume traffic (Mar 2026). Source: ai.google.dev/gemini-api/docs/changelog

Context Length: 1M tokens

Architecture: Transformer

Gemini 3.1 Flash Image

Type: Image

Description: High-efficiency image generation/editing model (aka Nano Banana 2) optimized for speed and high-volume use cases (Feb 2026). Source: ai.google.dev/gemini-api/docs/changelog

Context Length: 1M tokens

Architecture: Transformer

Gemini 3 Flash

Type: Multimodal

Description: Frontier intelligence at Flash speed; PhD-level reasoning comparable to larger models; default model in Gemini app (Dec 2025). Source: cloud.google.com/blog

Context Length: 1M tokens

Architecture: Transformer

Gemini 3 Pro Image

Type: Image

Description: High-fidelity image generation with reasoning-enhanced composition; legible text rendering and multi-turn editing (Nov 2025). Source: Vertex AI docs

Context Length: 1M tokens

Architecture: Transformer

Funding Rounds & Investors

Total Funding

$3.5B

Rounds

0

No funding rounds available.

Founders/Team

DH

Demis Hassabis

CEO (Google DeepMind)

SL

Shane Legg

Co-founder & Chief AGI Scientist

MS

Mustafa Suleyman

Co-founder (DeepMind)

Direct competitors

ChatGPT logo

Gen Ai

Claude logo

Gen Ai

Change Log / Major Updates

2026 · Mar 1

Gemini 3.1 Flash-Lite Preview launched - first Flash-Lite model in the Gemini 3 series for cost-efficient high-volume traffic. Source: ai.google.dev/gemini-api/docs/changelog

2026 · Mar 5

gemini-embedding-2-preview released - first fully multimodal embedding model supporting text image video audio and PDF inputs in unified embedding space. Source: ai.google.dev/gemini-api/docs/changelog

2026 · Mar 5

Grounding with Google Maps reached general availability (GA). Source: ai.google.dev/gemini-api/docs/changelog

Compliance, Integrations & Support

Industry: Other

Compliances: SOC 2, GDPR, CCPA

Integrations: Google Workspace, Google Cloud Vertex AI, Google AI Studio, Android, Google Docs, Google Sheets, Google Slides, Gmail, Google Search

Support:Email, Knowledge Base, API Support, Community Forum

Target audience: Developers, Marketers, Students, Businesses, Researchers, Content Creators

Supported languages: English, Spanish, French, German, Portuguese, Japanese, Korean, Hindi, Chinese

Google Gemini Acquisitions

No acquisition records available.

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Reviews & Rating

1 reviews

AK

Aryan Kumawat

Mar 12, 2026

Great A.I by Google

3.0

Accuracy

4.0

Ease of Use

2.0

Output Quality

4.0

Security

3.0

Social Feed

No social feed available for this tool yet.

More About Google Gemini

Google Gemini is a family of advanced multimodal AI models developed by Google DeepMind. It is designed to understand and generate content across multiple formats including text, images, audio, video, and code. Gemini powers many Google AI experiences such as Gemini Advanced, Google AI Studio, and integrations across Google Workspace and Android devices.

Gemini helps users perform complex tasks like research, writing, coding, data analysis, content creation, and problem-solving. Built with a transformer-based architecture, the model is optimized for reasoning, multimodal understanding, and long-context processing.

The Gemini model family includes several versions optimized for different workloads, including Gemini Ultra for highly complex reasoning, Gemini Pro for scalable AI applications, and Gemini Nano for on-device AI tasks.

With support for extremely large context windows and multimodal capabilities, Gemini enables developers and businesses to build next-generation AI applications across productivity, automation, customer support, research, and software development.

Gemini is accessible through the Gemini app, Google AI Studio, and Vertex AI, making it one of Google's flagship AI platforms for both consumers and developers.

Google Gemini FAQ's

What is Google Gemini?

Google Gemini is a multimodal AI model family developed by Google DeepMind that can understand and generate text, images, code, audio, and video.

Who developed Gemini?

Gemini was developed by Google DeepMind, Google's AI research division.

What are the main Gemini models?

The main Gemini models include Gemini Ultra, Gemini Pro, Gemini Nano, Gemini 1.5 Pro, and Gemini 1.5 Flash.

Where can developers use Gemini?

Developers can access Gemini through Google AI Studio and Google Cloud Vertex AI APIs.