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Description
Create state-of-the-art, commercially viable AI solutions using both pre-built and customizable APIs and models. Seamlessly integrate generative AI into your production processes through various studios, SDKs, and APIs. Enhance your competitive position by developing AI applications that leverage foundational models from prominent sources like OpenAI, Meta, and Microsoft. Implement safeguards against misuse with integrated responsible AI practices, top-tier Azure security features, and specialized tools for ethical AI development. Design your own copilot and generative AI solutions utilizing advanced language and vision models. Access the most pertinent information through keyword, vector, and hybrid search methodologies. Continuously oversee text and visual content to identify potentially harmful or inappropriate material. Effortlessly translate documents and text in real time, supporting over 100 different languages while ensuring accessibility for diverse audiences. This comprehensive toolkit empowers developers to innovate while prioritizing safety and efficiency in AI deployment.
Description
Gemini 3.5 Pro is Google’s expected flagship Pro model for the Gemini 3.5 generation, built for users who need advanced intelligence across reasoning, coding, multimodal analysis, and agentic execution. The model is positioned as a higher-capability option for complex work that requires stronger planning, deeper instruction following, and more reliable handling of multi-step tasks. It is expected to serve demanding use cases such as software engineering, research synthesis, data analysis, enterprise automation, AI agents, and advanced productivity workflows. Gemini 3.5 Pro will likely expand on the Gemini 3 model family’s focus on state-of-the-art reasoning, tool use, and multimodal understanding. Unlike Flash models, which prioritize speed and cost efficiency, Gemini 3.5 Pro is expected to prioritize maximum capability for more difficult and high-value tasks. Developers may use it to build coding assistants, autonomous agents, technical copilots, business analysis tools, and applications that need to process complex context. Its anticipated strengths include long-horizon task execution, advanced code generation, structured problem solving, and improved performance on workflows that require careful reasoning. Gemini 3.5 Pro is not yet broadly documented as a generally available model, so businesses should treat it as an upcoming release rather than a fully launched product. Once available, it is expected to become a strong option for teams that want Google’s most capable Gemini 3.5 model for serious AI application development.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Anything
No
Bash
No
Brokk
No
C++
No
EaseMate AI
No
Gemini 3.8 Flash-Lite TTS
No
Gemini Agent
No
GitHub
No
Google Antigravity
No
Kotlin
No
Integrations
Anything
Yes
Bash
Yes
Brokk
Yes
C++
Yes
EaseMate AI
Yes
Gemini 3.8 Flash-Lite TTS
Yes
Gemini Agent
Yes
GitHub
Yes
Google Antigravity
Yes
Kotlin
Yes
Pricing Details
No price information available.
Free Trial
Yes
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
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
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
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/products/ai-services/
Vendor Details
Company Name
Founded
1998
Country
United States
Website
gemini.google.com
Product Features
Artificial Intelligence
Chatbot
No
For Healthcare
No
For Sales
No
For eCommerce
No
Image Recognition
No
Machine Learning
No
Multi-Language
No
Natural Language Processing
No
Predictive Analytics
No
Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No