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What is Med-PaLM 2?

Healthcare innovations possess the remarkable ability to change lives and instill hope, fueled by a blend of scientific knowledge, compassion, and human insight. We believe that artificial intelligence stands to significantly contribute to this evolution by fostering effective collaborations among researchers, healthcare professionals, and the broader community. We are excited to share that we have made notable progress in this area, as we introduce limited access to Google’s medically-oriented large language model, Med-PaLM 2. In the coming weeks, this model will be accessible for restricted testing to a chosen group of Google Cloud clients, who will have the opportunity to explore its functionalities and offer crucial feedback as we strive for safe and responsible applications of this technology. Med-PaLM 2 employs Google’s sophisticated LLMs, specifically designed for the healthcare sector, enhancing the accuracy and safety of responses to medical questions. It is worth mentioning that Med-PaLM 2 has the distinction of being the first LLM to reach an “expert” level on the MedQA dataset, which features questions modeled after the US Medical Licensing Examination (USMLE). This achievement underscores our dedication to progressing healthcare through innovative solutions and emphasizes the potential of AI in tackling intricate medical issues. As we continue to refine this technology, we remain committed to ensuring it is used ethically and effectively for the betterment of patient care.

What is Gemini 3.6 Flash?

Gemini 3.6 Flash is a new Google Gemini model designed for efficient, high-quality AI agents and production workloads. It builds on Gemini 3.5 Flash with improvements in coding, knowledge work, multimodal understanding, computer use, and complex workflow execution. Google positions Gemini 3.6 Flash as the workhorse model in the Flash series, optimized for the balance of quality, speed, reliability, and cost. The model is designed to reduce verbosity, use fewer output tokens, take fewer reasoning steps, and require fewer tool calls during multi-step tasks. Google says Gemini 3.6 Flash uses 17% fewer output tokens than 3.5 Flash on the Artificial Analysis Index and can reduce output usage even more on some coding benchmarks. It is priced at $1.50 per 1 million input tokens and $7.50 per 1 million output tokens, giving developers a lower-cost option for agentic workflows than 3.5 Flash. Gemini 3.6 Flash shows gains in benchmarks for software engineering, ML research, computer use, and knowledge work. It can support use cases such as code migration, document parsing, financial data analysis, chart interpretation, report drafting, visual interface building, and multi-agent orchestration. Built-in computer use is available through the Gemini API and Gemini Enterprise, helping agents interact with digital tools more reliably. Google also says the model ships with enhanced Frontier Safety safeguards for CBRN and cyber offense misuse while minimizing refusals for beneficial use cases. By combining lower cost, stronger task performance, multimodal understanding, built-in computer use, and safety improvements, Gemini 3.6 Flash is built for teams that need scalable AI agents across software, enterprise, and productivity workflows.

Media

Media

Integrations Supported

Agent Search on Gemini Enterprise Agent Platform
Android Studio
Bash
Cheaper Inference
Gemini Enterprise Agent Platform Notebooks
Gemini Spark
Google AI Mode
Google AI Overviews
Google AI Ultra
Google Antigravity
Google Cloud Platform
HTML
Kotlin
PowerShell
R
Scala
Solidity
Swift
TypeScript
XML

Integrations Supported

Agent Search on Gemini Enterprise Agent Platform
Android Studio
Bash
Cheaper Inference
Gemini Enterprise Agent Platform Notebooks
Gemini Spark
Google AI Mode
Google AI Overviews
Google AI Ultra
Google Antigravity
Google Cloud Platform
HTML
Kotlin
PowerShell
R
Scala
Solidity
Swift
TypeScript
XML

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

$1.50 per 1M tokens (input)
$1.50/1M input tokens and $7.50/1M output tokens
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Google Cloud

Company Location

United States

Company Website

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

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

gemini.google.com

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