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Average Ratings 0 Ratings
Description
Gemini 3.5 Flash-Lite stands out as the quickest model within Google's Gemini 3.5 lineup, specifically engineered for tasks requiring low latency and for enhancing developer workflows that demand high throughput, including agentic search, document processing, coding, and extensive data analysis. It boasts an impressive output capacity of 350 tokens per second and marks a significant enhancement over earlier Flash-Lite iterations in terms of both quality and agentic capabilities. Developers have the flexibility to adjust the model's thinking level to suit the demands of the task at hand: minimal or low thinking allows for rapid processing of large volumes, while elevated thinking levels accommodate more intricate, multi-step workflows involving subagents. Furthermore, the model is equipped with built-in computational skills, enabling it to interact effectively with various digital environments across compatible platforms. Additionally, Gemini 3.5 Flash-Lite excels in coding, comprehending long contexts, and executing real-world tasks, consistently outperforming its predecessor, Gemini 3.1 Flash-Lite, in critical assessments and even exceeding the performance of Gemini 3 Flash on multiple benchmarks related to agentic functions and software engineering. This impressive performance highlights its potential to transform how developers approach complex workflows and data-intensive tasks.
Description
Gemini Robotics integrates Gemini's advanced multimodal reasoning and comprehension of the world into tangible applications, empowering robots of various forms and sizes to undertake a diverse array of real-world activities. Leveraging the capabilities of Gemini 2.0, it enhances sophisticated vision-language-action models by enabling reasoning about physical environments, adapting to unfamiliar scenarios, including novel objects, various instructions, and different settings, while also comprehending and reacting to everyday conversational requests. Furthermore, it exhibits the ability to adjust to abrupt changes in commands or surroundings without requiring additional input. The dexterity module is designed to tackle intricate tasks that demand fine motor skills and accurate manipulation, allowing robots to perform activities like folding origami, packing lunch boxes, and preparing salads. Additionally, it accommodates multiple embodiments, ranging from bi-arm platforms like ALOHA 2 to humanoid robots such as Apptronik’s Apollo, making it versatile across various applications. Optimized for local execution, it includes a software development kit (SDK) that facilitates smooth adaptation to new tasks and environments, ensuring that these robots can evolve alongside emerging challenges. This flexibility positions Gemini Robotics as a pioneering force in the robotics industry.
API Access
Has API
API Access
Has API
Integrations
Gemini
Gemini Enterprise
Google AI Studio
C
Devin Desktop
Gemini 3 Flash
Gemini Enterprise Agent Platform Notebooks
Go
Google AI Overviews
Google Antigravity
Integrations
Gemini
Gemini Enterprise
Google AI Studio
C
Devin Desktop
Gemini 3 Flash
Gemini Enterprise Agent Platform Notebooks
Go
Google AI Overviews
Google Antigravity
Pricing Details
$0.30 per 1M input tokens
$0.30/1M input tokens and $2.50/1M output tokens
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Founded
1998
Country
United States
Website
gemini.google.com
Vendor Details
Company Name
Google DeepMind
Founded
2010
Country
United Kingdom
Website
deepmind.google/models/gemini-robotics/