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ease
features
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support

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Description

GLM-4.5V is an evolution of the GLM-4.5-Air model, incorporating a Mixture-of-Experts (MoE) framework that boasts a remarkable total of 106 billion parameters, with 12 billion specifically dedicated to activation. This model stands out by delivering top-tier performance among open-source vision-language models (VLMs) of comparable scale, demonstrating exceptional capabilities across 42 public benchmarks in diverse contexts such as images, videos, documents, and GUI interactions. It offers an extensive array of multimodal functionalities, encompassing image reasoning tasks like scene understanding, spatial recognition, and multi-image analysis, alongside video comprehension tasks that include segmentation and event recognition. Furthermore, it excels in parsing complex charts and lengthy documents, facilitating GUI-agent workflows through tasks like screen reading and desktop automation, while also providing accurate visual grounding by locating objects and generating bounding boxes. Additionally, the introduction of a "Thinking Mode" switch enhances user experience by allowing the selection of either rapid responses or more thoughtful reasoning based on the situation at hand. This innovative feature makes GLM-4.5V not only versatile but also adaptable to various user needs.

Description

Sarvam-105B stands as the premier large language model within Sarvam’s open-source lineup, engineered to provide exceptional reasoning capabilities, multilingual comprehension, and agent-driven execution all within a unified and scalable framework. This Mixture-of-Experts (MoE) model boasts an impressive total of approximately 105 billion parameters, activating only a subset for each token, which allows it to maintain superior computational efficiency while excelling in intricate tasks. It is particularly optimized for advanced reasoning, programming, mathematical challenges, and agentic processes, positioning it well for scenarios that necessitate multi-step problem-solving and organized outputs rather than merely engaging in basic conversations. With the ability to process long contexts of around 128K tokens, Sarvam-105B can effectively manage extensive documents, prolonged discussions, and complex analytical inquiries, ensuring coherence throughout. Additionally, its design facilitates a diverse range of applications, providing users with versatile tools to tackle a variety of intellectual challenges.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Claude Code
Cline
Hugging Face
Kilo Code
OpenRouter
Roo Code
Sarvam AI
Sup AI

Integrations

Claude Code
Cline
Hugging Face
Kilo Code
OpenRouter
Roo Code
Sarvam AI
Sup AI

Pricing Details

Free
Free Trial
Free Version

Pricing Details

Free
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

Zhipu AI

Founded

2023

Country

China

Website

chat.z.ai/

Vendor Details

Company Name

Sarvam

Founded

2023

Country

India

Website

www.sarvam.ai/blogs/sarvam-30b-105b

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