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Gemini
5
61
4
22
3
7
2
0
1
0
Based on GetApp‘s extensive, proprietary database of in-depth, verified user reviews
Cloud & on-device multimodal AI for enterprises
Table of Contents
Gemini - 2026 Pricing, Features, Reviews & Alternatives


All user reviews are verified by in-house moderators and provider data by our software research team. Learn more
Last updated: September 2026
Gemini overview
What is Gemini?
Gemini is a natively multimodal AI model family trained jointly across text, images, audio, video, and code. The family spans multiple tiers, including Pro, Flash, Flash-Lite, Omni, Deep Think, Nano, and Robotics variants, each optimized for distinct capability and efficiency trade-offs. Deployment options include cloud-based API access via Google AI Studio and Vertex AI, consumer web and mobile apps, on-device inference via Nano models, integration into Google Workspace products, and robotics-specific models available to early-access partners. Target markets include developers and enterprises building AI-powered applications, individual consumers, scientific researchers, robotics hardware developers, and enterprise teams across legal, financial services, logistics, advertising, and infrastructure sectors.
Core capabilities include multimodal understanding and generation, a context window of up to 1 million tokens, and agentic functions covering multi-step tool use, sub-agent orchestration, and parallel task execution. Deep Think reasoning mode targets advanced problem-solving in science, mathematics, and engineering. Gemini Omni supports video-native multimodal creation and editing. Dedicated models handle real-time audio generation via the Gemini Live API, image generation, and music generation. On-device Nano models support summarization, reading comprehension, and text completion on resource-constrained hardware.
Robotics capabilities are delivered through two specialized models: a vision-language-action (VLA) model that converts vision and language input directly into robot motor control, and an embodied reasoning (ER) model for spatial understanding, long-horizon planning, and human-robot coordination. Both models adapt to new robot embodiments with minimal training data. Content authenticity is addressed through SynthID digital watermarking and C2PA Content Credentials applied to generated outputs. Responsible AI development practices include red teaming, safety evaluations, and a Frontier Safety Framework covering chemical, biological, radiological, nuclear, cyber, and misalignment risk categories.
Gemini’s user interface
Gemini reviews
Overall rating
4.6
/5
90
Positive reviews
84
%
- Value for money
- Ease of use
- Features
- Customer support
- Likelihood to recommend0.84/10
5
4
3
2
1
61
22
7
0
0

Christopher V.
Human Relations
Gautam P.
Teacher

Christopher V.
Human Relations

Sanjay S.
Freelance
Gautam P.
Teacher

Ryan R.
Product Developer
Who uses Gemini?
Based on 90 verified user reviews.
Company size
Small Businesses
Midsize Businesses
Enterprises
Top industries
Use cases
Gemini's key features
Most critical features, based on insights from Gemini users:
All Gemini features
Features rating:
Gemini alternatives
Gemini pricing
Pricing plans
Pricing details:
User opinions about Gemini price and value
Value for money rating:
To see what individual users think of Gemini's price and value, check out the review snippets below.

Christopher V.
Human Relations
Gautam P.
Teacher
Gemini integrations (27)
Integrations rated by users
We looked at 90 user reviews to identify which products are mentioned as Gemini integrations and how users feel about them.
Integration rating: 4.8 (12)
Integration rating: 4.7 (11)
“We use shared Google files to allow granular changes to presentations used with the signage system.”
Ed J.
Senior IT Technician
Integration rating: 4.9 (9)
Integration rating: 4.8 (6)
Integration rating: 5.0 (4)
Integration rating: 4.8 (4)
Gemini support options
Typical customers
Platforms supported
Support options
Training options









