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Average Ratings 0 Ratings

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features
design
support

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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

Innovations in healthcare have the potential to transform lives and inspire hope, driven by a combination of scientific expertise, empathy, and human understanding. We are confident that artificial intelligence can play a significant role in this transformation through effective collaboration among researchers, healthcare providers, and the wider community. Today, we are thrilled to announce promising strides in these efforts, unveiling limited access to Google’s medical-focused large language model, Med-PaLM 2. In the upcoming weeks, this model will be made available for restricted testing to a select group of Google Cloud clients, allowing them to explore its applications and provide valuable feedback as we pursue safe and responsible methods of leveraging this technology. Med-PaLM 2 utilizes Google’s advanced LLMs, specifically tailored for the medical field, to enhance the accuracy and safety of responses to medical inquiries. Notably, Med-PaLM 2 achieved the distinction of being the first LLM to perform at an “expert” level on the MedQA dataset, which consists of questions modeled after the US Medical Licensing Examination (USMLE). This milestone reflects our commitment to advancing healthcare through innovative solutions and highlights the potential of AI in addressing complex medical challenges.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Agent Search on Gemini Enterprise Agent Platform Yes 
Bind AI Yes 
C# Yes 
C++ Yes 
Cursor Yes 
Dart Yes 
Devin Desktop Yes 
Factory Droid Yes 
Gemini 3.6 Flash Yes 
Gemini 3.8 Flash Cyber Yes 
Gemini Enterprise Yes 
Gemini Spark Yes 
HTML Yes 
Java Yes 
Kubernetes Yes 
OfoxAI Yes 
Rust Yes 
Scala Yes 
Solidity Yes 
YAML Yes 

Integrations

Agent Search on Gemini Enterprise Agent Platform No 
Bind AI No 
C# No 
C++ No 
Cursor No 
Dart No 
Devin Desktop No 
Factory Droid No 
Gemini 3.6 Flash No 
Gemini 3.8 Flash Cyber No 
Gemini Enterprise No 
Gemini Spark No 
HTML No 
Java No 
Kubernetes No 
OfoxAI No 
Rust No 
Scala No 
Solidity No 
YAML No 

Pricing Details

$0.30 per 1M input tokens
$0.30/1M input tokens and $2.50/1M output tokens
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

gemini.google.com

Vendor Details

Company Name

Google Cloud

Country

United States

Website

cloud.google.com/blog/topics/healthcare-life-sciences/sharing-google-med-palm-2-medical-large-language-model

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