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features
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Description

The Apple Foundation Models framework enables developers to leverage Apple's on-device model, which excels in language comprehension, organized output, and invoking tools. This framework grants access to the large language model integral to Apple Intelligence, thereby assisting applications in executing intelligent tasks tailored to their specific needs. By recognizing patterns, the text-based on-device model can produce relevant text in response to various prompts and has the capability to call upon developer-written code for targeted functionalities. Developers are empowered to create text content across a multitude of applications, such as summarization, entity extraction, text comprehension, enhancement, game dialogues, creative content crafting, classification, and beyond. Additionally, it offers guided generation features that enable developers to construct complete Swift data structures with robust assurances by utilizing the Generable macro, enhancing the versatility and functionality of the model. Ultimately, this framework significantly streamlines the process of integrating advanced AI capabilities into applications.

Description

Mistral Small 3.1 represents a cutting-edge, multimodal, and multilingual AI model that has been released under the Apache 2.0 license. This upgraded version builds on Mistral Small 3, featuring enhanced text capabilities and superior multimodal comprehension, while also accommodating an extended context window of up to 128,000 tokens. It demonstrates superior performance compared to similar models such as Gemma 3 and GPT-4o Mini, achieving impressive inference speeds of 150 tokens per second. Tailored for adaptability, Mistral Small 3.1 shines in a variety of applications, including instruction following, conversational support, image analysis, and function execution, making it ideal for both business and consumer AI needs. The model's streamlined architecture enables it to operate efficiently on hardware such as a single RTX 4090 or a Mac equipped with 32GB of RAM, thus supporting on-device implementations. Users can download it from Hugging Face and access it through Mistral AI's developer playground, while it is also integrated into platforms like Gemini Enterprise Agent Platform, with additional accessibility on NVIDIA NIM and more. This flexibility ensures that developers can leverage its capabilities across diverse environments and applications.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

C++ No 
Gemini Enterprise Agent Platform Notebooks No 
Go No 
HTML No 
Hugging Face No 
JavaScript No 
Julia No 
Microsoft Foundry No 
NVIDIA NIM No 
PHP No 
Parasail No 
R No 
Ruby No 
Rust No 
Scala No 
StackAI No 
Swift Yes 
TypeScript No 
Visual Basic No 
Zemith No 

Integrations

C++ Yes 
Gemini Enterprise Agent Platform Notebooks Yes 
Go Yes 
HTML Yes 
Hugging Face Yes 
JavaScript Yes 
Julia Yes 
Microsoft Foundry Yes 
NVIDIA NIM Yes 
PHP Yes 
Parasail Yes 
R Yes 
Ruby Yes 
Rust Yes 
Scala Yes 
StackAI Yes 
Swift No 
TypeScript Yes 
Visual Basic Yes 
Zemith Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

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

Deployment

Web-Based Yes 
On-Premises No 
iPhone App Yes 
iPad App Yes 
Android App Yes 
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 No 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

Apple

Founded

1976

Country

United States

Website

developer.apple.com/documentation/FoundationModels

Vendor Details

Company Name

Mistral

Founded

2023

Country

France

Website

mistral.ai/news/mistral-small-3-1

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