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features
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support

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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

Span-01 is an advanced hyper-parallel reasoning classifier that identifies intricate patterns within extensive production traces in a single forward pass. Instead of producing tokens one after the other, it analyzes natural-language behavior definitions and provides direct probabilities indicating whether a behavior is present, absent, or not observable. The model undergoes initial training for general classification reasoning using Reinforcement Learning with Human Feedback (RLAIF) before it is fine-tuned specifically for behavior detection. This allows Span-01 to utilize previously unseen definitions for new behaviors and various domains, avoiding limitations imposed by a rigid taxonomy. During the inference phase, its hyper-parallel definition branches assess multiple behaviors simultaneously against the same trace context, and the incorporation of hybrid attention facilitates effective reasoning over lengthy and intricate inputs. Span-01 is meticulously crafted for monitoring production environments with a focus on safety, reliability, grounding, agent behavior, and response quality, addressing challenges such as jailbreak and prompt injection detection, as well as privacy and confidentiality concerns. Its innovative approach positions Span-01 as a significant advancement in the field, enabling more efficient and comprehensive analysis of complex behaviors.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

JavaScript Yes 
Python Yes 
TypeScript Yes 
APIFree Yes 
AssemblyAI No 
CSS Yes 
Cheaper Inference Yes 
Factory Droid Yes 
Go Yes 
Java Yes 
LinkUp No 
Mem0 No 
PostHog No 
PyTorch Yes 
Qoder Yes 
Roo Code Yes 
Rust Yes 
Shiori Yes 
Wafer Yes 
Zo Computer Yes 

Integrations

JavaScript Yes 
Python Yes 
TypeScript Yes 
APIFree No 
AssemblyAI Yes 
CSS No 
Cheaper Inference No 
Factory Droid No 
Go No 
Java No 
LinkUp Yes 
Mem0 Yes 
PostHog Yes 
PyTorch No 
Qoder No 
Roo Code No 
Rust No 
Shiori No 
Wafer No 
Zo Computer No 

Pricing Details

Free
Open source
Free Trial No 
Free Version Yes 

Pricing Details

$199 per month
Free Trial Yes 
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

Respan

Founded

2023

Country

United States

Website

www.respan.ai/blog/introducing-span-1

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