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Description

Z.ai has unveiled its latest flagship model, GLM-4.5, which boasts an impressive 355 billion total parameters (with 32 billion active) and is complemented by the GLM-4.5-Air variant, featuring 106 billion total parameters (12 billion active), designed to integrate sophisticated reasoning, coding, and agent-like functions into a single framework. This model can switch between a "thinking" mode for intricate, multi-step reasoning and tool usage and a "non-thinking" mode that facilitates rapid responses, accommodating a context length of up to 128K tokens and enabling native function invocation. Accessible through the Z.ai chat platform and API, and with open weights available on platforms like HuggingFace and ModelScope, GLM-4.5 is adept at processing a wide range of inputs for tasks such as general problem solving, common-sense reasoning, coding from the ground up or within existing frameworks, as well as managing comprehensive workflows like web browsing and slide generation. The architecture is underpinned by a Mixture-of-Experts design, featuring loss-free balance routing, grouped-query attention mechanisms, and an MTP layer that facilitates speculative decoding, ensuring it meets enterprise-level performance standards while remaining adaptable to various applications. As a result, GLM-4.5 sets a new benchmark for AI capabilities across numerous domains.

Description

Sarvam-M is an advanced, multilingual large language model that integrates hybrid reasoning to excel in various Indian languages, mathematical tasks, and programming challenges all within a single, streamlined framework. It is built on the foundation of Mistral-Small, boasting a robust architecture with 24 billion parameters, which has been refined through supervised fine-tuning, reinforcement learning with clear rewards, and optimizations for inference to enhance both precision and efficiency. This model is meticulously trained to proficiently handle over ten prominent Indic languages, accommodating native scripts, romanized text, and code-mixed submissions, thereby facilitating smooth multilingual interactions in a variety of linguistic environments. Moreover, Sarvam-M adopts a hybrid reasoning framework, enabling it to alternate between an in-depth “thinking” mode for intricate tasks such as mathematics, logic puzzles, and programming, and a rapid response mode for everyday inquiries, providing an effective balance between speed and performance. This versatility makes Sarvam-M an invaluable tool for users looking to engage with technology in an increasingly diverse linguistic landscape.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Biela.dev
Hugging Face
ModelScope
Nebius Token Factory
OpenClaw
Sarvam AI
SiliconFlow
Trancy

Integrations

Biela.dev
Hugging Face
ModelScope
Nebius Token Factory
OpenClaw
Sarvam AI
SiliconFlow
Trancy

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Z.ai

Founded

2019

Country

China

Website

z.ai/blog/glm-4.5

Vendor Details

Company Name

Sarvam

Founded

2023

Country

India

Website

www.sarvam.ai/blogs/sarvam-m

Product Features

Product Features

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