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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
Contextual AI has unveiled its Grounded Language Model (GLM), which is meticulously crafted to reduce inaccuracies and provide highly reliable, source-based replies for retrieval-augmented generation (RAG) as well as agentic applications. This advanced model emphasizes fidelity to the information provided, ensuring that responses are firmly anchored in specific knowledge sources and are accompanied by inline citations. Achieving top-tier results on the FACTS groundedness benchmark, the GLM demonstrates superior performance compared to other foundational models in situations that demand exceptional accuracy and dependability. Tailored for enterprise applications such as customer service, finance, and engineering, the GLM plays a crucial role in delivering trustworthy and exact responses, which are essential for mitigating risks and enhancing decision-making processes. Furthermore, its design reflects a commitment to meeting the rigorous demands of industries where information integrity is paramount.
API Access
Has API
API Access
Has API
Integrations
Agent Search on Gemini Enterprise Agent Platform
Android Studio
C#
Cursor
Dart
Devin Desktop
Gemini
Gemini 3.5 Flash
Gemini Computer Use
Gemini Enterprise
Integrations
Agent Search on Gemini Enterprise Agent Platform
Android Studio
C#
Cursor
Dart
Devin Desktop
Gemini
Gemini 3.5 Flash
Gemini Computer Use
Gemini Enterprise
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
Contextual AI
Founded
2023
Country
United States
Website
contextual.ai/blog/introducing-grounded-language-model/