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What is SubQ?

SubQ is a next-generation large language model developed by Subquadratic, designed to handle extremely long-context reasoning tasks with high efficiency. It supports up to 12 million tokens in a single prompt, allowing it to process entire codebases, months of development history, and large datasets in one step. The model uses a fully sub-quadratic sparse-attention architecture, which reduces unnecessary computations by focusing only on meaningful relationships between data points. This approach significantly lowers computational costs while maintaining strong performance across complex tasks. SubQ is optimized for use cases such as software engineering, code analysis, long-context retrieval, and AI agent workflows. It enables developers to analyze large amounts of information without breaking it into smaller segments. The model offers fast processing speeds and lower operational costs compared to traditional transformer-based models. SubQ is accessible through APIs, making it easy for developers and enterprises to integrate it into their systems. It can also be used within coding agents to improve code mapping, exploration, and understanding. The platform supports streaming and tool usage for more dynamic workflows. Its architecture allows it to scale efficiently as data size increases, overcoming common limitations of standard models. SubQ also delivers competitive performance on benchmarks related to coding and long-context tasks. By combining efficiency, scalability, and large context capabilities, it provides a powerful solution for advanced AI applications.

What is GLM-5-Turbo?

GLM-5-Turbo is a swift advancement of Z.ai’s GLM-5 model, designed to provide both efficient and stable performance for scenarios driven by agents, while also maintaining strong reasoning and programming capabilities. It is specifically optimized for high-throughput requirements, particularly in intricate long-chain agent tasks that involve a sequence of steps, tools, and decisions executed with precision and minimal delay. By supporting advanced agent-driven workflows, GLM-5-Turbo significantly improves multi-step planning, tool application, and task execution, yielding a higher level of responsiveness than larger flagship models in the collection. Retaining the foundational advantages of the GLM-5 series, this model excels in reasoning, coding, and managing extensive contexts, while emphasizing the optimization of crucial factors such as speed, efficiency, and stability for production environments. Additionally, it is designed to integrate seamlessly with agent frameworks like OpenClaw, enabling it to effectively coordinate actions, oversee inputs, and execute tasks proficiently. This adaptability ensures that users experience a dependable and responsive tool capable of meeting diverse operational challenges and requirements, ultimately enhancing productivity and effectiveness in various applications.

Media

Media

Integrations Supported

Claude Code
OpenAI
OpenAI Codex
SubQ 1.1 Small

Integrations Supported

Claw Code
GLM Coding Plan
GLM-5
GLM-5.1
Java
Model Context Protocol (MCP)
Ollama
OpenClaw
Python
Z.ai

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version

Supported Platforms

SaaS

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

Subquadratic

Date Founded

2026

Company Location

United States

Company Website

subq.ai/

Company Facts

Organization Name

Z.ai

Date Founded

2019

Company Location

China

Company Website

docs.z.ai/guides/llm/glm-5-turbo

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

Large Language Models

Not specified

Categories and Features

AI Models

Not specified

Large Language Models

Not specified

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