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What is Pokee-Isaac?

The Pokee-Isaac text-only agentic model boasts an extraordinary context window that can handle up to 10 million tokens. Designed to support reasoning, planning, tool invocation, and the execution of large-scale tasks, this model is compact enough for deployment in a Virtual Private Cloud (VPC), on customer premises, on a workstation, or even directly on devices. As per Pokee, Isaac shows remarkable long-context performance on the RULER benchmarks, effectively managing token ranges from 256K to 10M and surpassing rivals in multi-needle retrieval assessments at 256K, 512K, and 1M tokens. Its agentic architecture is purposely crafted for dependable function calling, ensuring coherence over multiple interactions, operating in real-shell environments, and possessing the capability to discover and assimilate tools across live Multi-Cloud Platforms (MCP) servers. In rigorous evaluations conducted by Pokee, Isaac achieved the highest score on BFCL v4 and τ³-bench, while securing the second position in the Terminal-Bench 2.1 text-only subset and third in MCP-Atlas. Additionally, security assessments utilizing the DTAP method revealed that it attained the lowest overall attack success rate in the comparative study, all the while showcasing strong performance on benign tasks. This amalgamation of capabilities emphasizes Isaac's role as a flexible and secure model suitable for a variety of operational contexts, reinforcing its position as a leader in the field. Its adaptability and performance metrics make it an invaluable asset for organizations seeking advanced text processing solutions.

What is GLM-5V-Turbo?

The GLM-5V-Turbo stands as a cutting-edge multimodal coding foundation model, expertly designed for scenarios necessitating visual inputs, proficient in interpreting various formats including images, videos, texts, and files to produce text-based results. This model is particularly optimized for agent workflows, enabling it to grasp environments effectively, devise suitable actions, and execute tasks, while also maintaining compatibility with agent frameworks such as Claude Code and OpenClaw. Notably, it excels in managing long-context interactions, offering an impressive context capacity of 200K tokens alongside an output limit of up to 128K tokens, making it exceptionally suited for complex, long-duration projects. Moreover, it presents an array of thinking modes tailored for different situations, demonstrates strong visual understanding of both images and videos, and streams outputs in real-time to improve user interaction. It also incorporates advanced function-calling capabilities that allow seamless integration of external tools, with its context caching feature significantly enhancing performance during extended dialogues. In real-world applications, the model is capable of skillfully converting design mockups into operational frontend projects, highlighting its adaptability and depth in practical coding environments. Furthermore, this adaptability empowers users to approach a diverse array of intricate tasks with assurance and effectiveness, greatly enhancing their productivity.

Media

Media

Integrations Supported

Model Context Protocol (MCP)
Pokee AI

Integrations Supported

Claude Code
Java
Ollama
OpenClaw
Python

API Availability

Has API

API Availability

Has API

Pricing Information

$0.15 per 1M tokens

Pricing Information

Pricing not provided
Free Version

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Pokee AI

Date Founded

2024

Company Location

United States

Company Website

console.pokee.ai/model

Company Facts

Organization Name

Z.ai

Date Founded

2023

Company Location

United States

Company Website

docs.z.ai/guides/vlm/glm-5v-turbo

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Vision Models

Not specified

Open-Weight AI Models

Not specified

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