Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • LM-Kit.NET Reviews & Ratings
    28 Ratings
    Company Website
  • Google AI Studio Reviews & Ratings
    12 Ratings
    Company Website
  • Gemini Enterprise Agent Platform Reviews & Ratings
    961 Ratings
    Company Website
  • TrustInSoft Analyzer Reviews & Ratings
    6 Ratings
    Company Website
  • PackageX OCR Scanning Reviews & Ratings
    46 Ratings
    Company Website
  • Monitask Reviews & Ratings
    370 Ratings
    Company Website
  • JetBrains Junie Reviews & Ratings
    12 Ratings
    Company Website
  • XpertCoding Reviews & Ratings
    42 Ratings
    Company Website
  • Windsurf Editor Reviews & Ratings
    168 Ratings
    Company Website
  • Concord Reviews & Ratings
    237 Ratings
    Company Website

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 K2 Think?

K2 Think is an innovative open-source advanced reasoning model that has emerged from a collaborative effort between the Institute of Foundation Models at MBZUAI and G42. Despite having a relatively modest size of 32 billion parameters, K2 Think delivers performance that competes with top-tier models that possess much larger parameter counts. Its primary strength is in mathematical reasoning, where it has achieved excellent rankings on distinguished benchmarks, including AIME ’24/’25, HMMT ’25, and OMNI-Math-HARD. This model is part of a broader initiative aimed at developing open models in the UAE, which also encompasses Jais (for Arabic), NANDA (for Hindi), and SHERKALA (for Kazakh). It builds on the foundational work laid by the K2-65B, a fully reproducible open-source foundation model that was introduced in 2024. K2 Think is designed to be open, efficient, and versatile, featuring a web app interface that encourages user interaction and exploration. Its cutting-edge approach to parameter positioning signifies a notable leap forward in creating compact architectures for high-level AI reasoning. Furthermore, its development underscores a commitment to improving access to advanced AI technologies across multiple languages and sectors, ultimately fostering greater inclusivity in the field.

Media

Media

Integrations Supported

Sarvam AI

Integrations Supported

Sarvam 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

Institute of Foundation Models

Company Location

United States

Company Website

www.k2think.ai/k2think

Categories and Features

Categories and Features

Popular Alternatives

Sarvam 105B Reviews & Ratings

Sarvam 105B

Sarvam

Popular Alternatives

DeepSeek R1 Reviews & Ratings

DeepSeek R1

DeepSeek
DeepScaleR Reviews & Ratings

DeepScaleR

Agentica Project
Sarvam 30B Reviews & Ratings

Sarvam 30B

Sarvam
GLM-4.1V Reviews & Ratings

GLM-4.1V

Zhipu AI
Qwen3.6-27B Reviews & Ratings

Qwen3.6-27B

Alibaba