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

Google’s multimodal AI assistant for chat, coding, research, and productivity.
86
Overall score
0
Heat score
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
Text Generation
92%
Code Generation
90%
Image Understanding
91%
Multimodal Reasoning
90%
Knowledge Retrieval
89%
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
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
$112.4B
Total Loss
$0
Total Profit
$391.4B
Accuracy
90%
Context
91%
Reasoning
92%
Safety
88%
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%
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
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
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
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
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
Total Funding
$3.5B
Rounds
0
No funding rounds available.
Demis Hassabis
CEO (Google DeepMind)
Shane Legg
Co-founder & Chief AGI Scientist
Mustafa Suleyman
Co-founder (DeepMind)
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
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
No acquisition records available.
1 reviews
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
No social feed available for this tool yet.
Google Gemini is a multimodal AI model family developed by Google DeepMind that can understand and generate text, images, code, audio, and video.
Gemini was developed by Google DeepMind, Google's AI research division.
The main Gemini models include Gemini Ultra, Gemini Pro, Gemini Nano, Gemini 1.5 Pro, and Gemini 1.5 Flash.
Developers can access Gemini through Google AI Studio and Google Cloud Vertex AI APIs.