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What is Sarvam-M?

Sarvam-M is a cutting-edge multilingual large language model designed to excel in a variety of Indian languages while seamlessly tackling complex mathematical and programming tasks within a unified framework. Built upon the Mistral-Small architecture, it features a powerful configuration with 24 billion parameters and has undergone extensive refinement through methods like supervised fine-tuning and reinforcement learning, ensuring both accuracy and efficiency. This model is expertly crafted to support over ten major Indic languages, effectively managing native scripts, romanized text, and code-mixed entries, which promotes fluid multilingual communication across diverse settings. Furthermore, Sarvam-M incorporates a hybrid reasoning approach that allows it to switch between an in-depth “thinking” mode for challenging problems, such as mathematics and logic puzzles, and a quick response mode for more routine questions, striking an optimal balance between rapidity and performance. As such, Sarvam-M stands out as an essential resource for users who wish to navigate an increasingly varied linguistic landscape, enhancing their interaction with technology in meaningful ways. Its innovative design positions it as a key player in advancing language model capabilities in the realm of multilingual applications.

What is Qwen3?

Qwen3, the latest large language model from the Qwen family, introduces a new level of flexibility and power for developers and researchers. With models ranging from the high-performance Qwen3-235B-A22B to the smaller Qwen3-4B, Qwen3 is engineered to excel across a variety of tasks, including coding, math, and natural language processing. The unique hybrid thinking modes allow users to switch between deep reasoning for complex tasks and fast, efficient responses for simpler ones. Additionally, Qwen3 supports 119 languages, making it ideal for global applications. The model has been trained on an unprecedented 36 trillion tokens and leverages cutting-edge reinforcement learning techniques to continually improve its capabilities. Available on multiple platforms, including Hugging Face and ModelScope, Qwen3 is an essential tool for those seeking advanced AI-powered solutions for their projects.

Media

Media

Integrations Supported

Baseten
C
C#
CSS
Clojure
Elixir
F#
HTML
Holo2
Kaggle
LFM2.5
LM-Kit.NET
Lorka
Mirai
Nebius Token Factory
PHP
Python
SSSModel
Simtheory
kluster.ai

Integrations Supported

Baseten
C
C#
CSS
Clojure
Elixir
F#
HTML
Holo2
Kaggle
LFM2.5
LM-Kit.NET
Lorka
Mirai
Nebius Token Factory
PHP
Python
SSSModel
Simtheory
kluster.ai

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
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

Sarvam

Date Founded

2023

Company Location

India

Company Website

www.sarvam.ai/blogs/sarvam-m

Company Facts

Organization Name

Alibaba

Date Founded

1999

Company Location

China

Company Website

qwenlm.github.io/blog/qwen3/

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