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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

GLM-5 is a next-generation open-source foundation model from Z.ai designed to push the boundaries of agentic engineering and complex task execution. Compared to earlier versions, it significantly expands parameter count and training data, while introducing DeepSeek Sparse Attention to optimize inference efficiency. The model leverages a novel asynchronous reinforcement learning framework called slime, which enhances training throughput and enables more effective post-training alignment. GLM-5 delivers leading performance among open-source models in reasoning, coding, and general agent benchmarks, with strong results on SWE-bench, BrowseComp, and Vending Bench 2. Its ability to manage long-horizon simulations highlights advanced planning, resource allocation, and operational decision-making skills. Beyond benchmark performance, GLM-5 supports real-world productivity by generating fully formatted documents such as .docx, .pdf, and .xlsx files. It integrates with coding agents like Claude Code and OpenClaw, enabling cross-application automation and collaborative agent workflows. Developers can access GLM-5 via Z.ai’s API, deploy it locally with frameworks like vLLM or SGLang, or use it through an interactive GUI environment. The model is released under the MIT License, encouraging broad experimentation and adoption. Overall, GLM-5 represents a major step toward practical, work-oriented AI systems that move beyond chat into full task execution.

Description

The Pokee-Isaac text-only agentic model features an impressive context window capable of accommodating up to 10 million tokens. This model is engineered to facilitate reasoning, planning, tool invocation, and the execution of extensive tasks, all while being compact enough for deployment within a Virtual Private Cloud (VPC), on customer premises, on a workstation, or directly on devices. According to Pokee, Isaac excels in long-context performance across the RULER benchmarks, effectively handling token ranges from 256K to 10M and outperforming competitors in multi-needle retrieval tests at 256K, 512K, and 1M tokens. Its agentic framework is specifically designed for reliable function calling, maintaining coherence over multiple turns, executing in real-shell environments, and the ability to discover and integrate tools across live Multi-Cloud Platforms (MCP) servers. In controlled assessments by Pokee, Isaac secured the top position on BFCL v4 and τ³-bench, while placing second in the Terminal-Bench 2.1 text-only subset and third in MCP-Atlas. Furthermore, security evaluations using the DTAP method indicated that it achieved the lowest overall attack success rate in the comparative analysis, all while demonstrating robust performance on benign tasks. This combination of features underscores Isaac's capability as a versatile and secure model in various operational environments.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

APIFree Yes 
Cheaper Inference Yes 
Cherry Studio Yes 
Claude Code Yes 
Claw Code Yes 
Cline Yes 
Dessix Yes 
GLM Coding Plan Yes 
GLM-5-Turbo Yes 
Kilo Code Yes 
Model Context Protocol (MCP) No 
Ollama Yes 
OpenClaw Yes 
Oxlo.ai Yes 
Pokee AI No 
Roo Code Yes 
Sup AI Yes 
Tabbit Browser Yes 
Yonoo Yes 
Zo Computer Yes 

Integrations

APIFree No 
Cheaper Inference No 
Cherry Studio No 
Claude Code No 
Claw Code No 
Cline No 
Dessix No 
GLM Coding Plan No 
GLM-5-Turbo No 
Kilo Code No 
Model Context Protocol (MCP) Yes 
Ollama No 
OpenClaw No 
Oxlo.ai No 
Pokee AI Yes 
Roo Code No 
Sup AI No 
Tabbit Browser No 
Yonoo No 
Zo Computer No 

Pricing Details

Free
Open source
Free Trial No 
Free Version Yes 

Pricing Details

$0.15 per 1M tokens
Free Trial No 
Free Version No 

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 Yes 
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) No 
In Person No 

Vendor Details

Company Name

Z.ai

Founded

2023

Country

China

Website

z.ai/

Vendor Details

Company Name

Pokee AI

Founded

2024

Country

United States

Website

console.pokee.ai/model

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