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Description

GLM-5.1 represents the latest advancement in Z.ai’s GLM series, crafted as a cutting-edge, agent-focused AI model tailored for coding, reasoning, and managing long-term workflows. This iteration builds upon the framework of GLM-5, which employs a Mixture-of-Experts (MoE) architecture to achieve high performance without incurring excessive inference expenses, aligning with a larger initiative towards open-weight models that are accessible to developers. A significant emphasis of GLM-5.1 is on fostering agentic behavior, allowing it to plan, execute, and refine multi-step tasks instead of merely reacting to isolated prompts. Its capabilities are specifically engineered to manage intricate workflows, such as debugging code, exploring repositories, and performing sequential operations while maintaining context over time. In comparison to its predecessors, GLM-5.1 enhances reliability during lengthy interactions, ensuring coherence throughout extended sessions and minimizing failures in multi-step reasoning processes. Overall, this model signifies a leap forward in AI development, particularly in its ability to support complex task management seamlessly.

Description

Gemini Deep Research represents Google's innovative autonomous research agent, engineered to strategically plan, execute, and synthesize intricate, multi-step research endeavors utilizing both online resources and private data repositories, ultimately resulting in high-quality, organized outputs. Leveraging advanced Gemini models like Gemini 3.1 Pro, it establishes a system where the AI dissects a user's query into manageable sub-tasks, scours various sources for information, assesses relevance, and refines results through iterative processes prior to delivering a thorough, well-cited report. This tool is touted as a significant advancement in long-term research methodologies, facilitating independent exploration of not only public web content but also tailored enterprise data, all the while ensuring context and coherence throughout extensive reasoning sequences. Moreover, it features enhancements such as MCP (Model Context Protocol) integration, built-in visualizations, and a notable upgrade in analytical capabilities, empowering users to extract valuable insights effectively. Such innovations ensure that research workflows are not just more efficient but also yield results that are both comprehensive and actionable.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Claude Code Yes 
Dessix Yes 
GLM-5-Turbo Yes 
Gemini No 
Gemini 3.1 Pro No 
HTML Yes 
Java Yes 
JavaScript Yes 
OpenClaw Yes 
OpenRouter Yes 
Python Yes 
R Yes 
Roo Code Yes 
Swift Yes 
Together AI Yes 
Wafer Yes 
Z.ai Yes 
pandas Yes 
scikit-learn Yes 

Integrations

Claude Code No 
Dessix No 
GLM-5-Turbo No 
Gemini Yes 
Gemini 3.1 Pro Yes 
HTML No 
Java No 
JavaScript No 
OpenClaw No 
OpenRouter No 
Python No 
R No 
Roo Code No 
Swift No 
Together AI No 
Wafer No 
Z.ai No 
pandas No 
scikit-learn No 

Pricing Details

Free
Open source
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Z.ai

Founded

2023

Country

China

Website

z.ai/

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

blog.google/innovation-and-ai/models-and-research/gemini-models/next-generation-gemini-deep-research/

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