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What is Mistral Small 3.1?

Mistral Small 3.1 is an advanced, multimodal, and multilingual AI model that has been made available under the Apache 2.0 license. Building upon the previous Mistral Small 3, this updated version showcases improved text processing abilities and enhanced multimodal understanding, with the capacity to handle an extensive context window of up to 128,000 tokens. It outperforms comparable models like Gemma 3 and GPT-4o Mini, reaching remarkable inference rates of 150 tokens per second. Designed for versatility, Mistral Small 3.1 excels in various applications, including instruction adherence, conversational interaction, visual data interpretation, and executing functions, making it suitable for both commercial and individual AI uses. Its efficient architecture allows it to run smoothly on hardware configurations such as a single RTX 4090 or a Mac with 32GB of RAM, enabling on-device operations. Users have the option to download the model from Hugging Face and explore its features via Mistral AI's developer playground, while it is also embedded in services like Google Cloud Vertex AI and accessible on platforms like NVIDIA NIM. This extensive flexibility empowers developers to utilize its advanced capabilities across a wide range of environments and applications, thereby maximizing its potential impact in the AI landscape. Furthermore, Mistral Small 3.1's innovative design ensures that it remains adaptable to future technological advancements.

What is EmbeddingGemma?

EmbeddingGemma is a flexible multilingual text embedding model boasting 308 million parameters, engineered to be both lightweight and highly effective, which enables it to function effortlessly on everyday devices such as smartphones, laptops, and tablets. Built on the Gemma 3 architecture, this model supports over 100 languages and accommodates up to 2,000 input tokens, leveraging Matryoshka Representation Learning (MRL) to offer customizable embedding sizes of 768, 512, 256, or 128 dimensions, thereby achieving a balance between speed, storage, and accuracy. Its capabilities are enhanced by GPU and EdgeTPU acceleration, allowing it to produce embeddings in just milliseconds—taking less than 15 ms for 256 tokens on EdgeTPU—while its quantization-aware training keeps memory usage under 200 MB without compromising on quality. These features make it exceptionally well-suited for real-time, on-device applications, including semantic search, retrieval-augmented generation (RAG), classification, clustering, and similarity detection. The model's versatility extends to personal file searches, mobile chatbot functionalities, and specialized applications, with a strong emphasis on user privacy and operational efficiency. Therefore, EmbeddingGemma is not only effective but also adapts well to various contexts, solidifying its position as a premier choice for diverse text processing tasks in real time.

Media

Media

Integrations Supported

C
C++
CSS
Elixir
F#
Gemma 3
Go
HTML
Hugging Face
JavaScript
Julia
Microsoft Foundry
NVIDIA NIM
PHP
Parasail
R
Scala
TypeScript
Vertex AI Notebooks
Zemith

Integrations Supported

C
C++
CSS
Elixir
F#
Gemma 3
Go
HTML
Hugging Face
JavaScript
Julia
Microsoft Foundry
NVIDIA NIM
PHP
Parasail
R
Scala
TypeScript
Vertex AI Notebooks
Zemith

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

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

Mistral

Date Founded

2023

Company Location

France

Company Website

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

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

ai.google.dev/gemma/docs/embeddinggemma

Categories and Features

Categories and Features

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