Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
GLM-4.7 FlashX is an efficient and rapid iteration of the GLM-4.7 large language model developed by Z.ai, designed to effectively handle real-time AI applications in both English and Chinese while maintaining the essential features of the larger GLM-4.7 family in a more resource-efficient format. This model stands alongside its counterparts, GLM-4.7 and GLM-4.7 Flash, providing enhanced coding capabilities and superior language comprehension with quicker response times and reduced resource requirements, making it ideal for situations that demand swift inference without extensive infrastructure. As a member of the GLM-4.7 series, it benefits from the model’s inherent advantages in programming, multi-step reasoning, and strong conversational skills, and it also accommodates long contexts for intricate tasks, all while being lightweight enough for deployment in environments with limited computational resources. This combination of speed and efficiency allows developers to leverage its capabilities in a wide range of applications, ensuring optimal performance in diverse scenarios.
Description
Phi-4-mini-flash-reasoning is a 3.8 billion-parameter model that is part of Microsoft's Phi series, specifically designed for edge, mobile, and other environments with constrained resources where processing power, memory, and speed are limited. This innovative model features the SambaY hybrid decoder architecture, integrating Gated Memory Units (GMUs) with Mamba state-space and sliding-window attention layers, achieving up to ten times the throughput and a latency reduction of 2 to 3 times compared to its earlier versions without compromising on its ability to perform complex mathematical and logical reasoning. With a support for a context length of 64K tokens and being fine-tuned on high-quality synthetic datasets, it is particularly adept at handling long-context retrieval, reasoning tasks, and real-time inference, all manageable on a single GPU. Available through platforms such as Azure AI Foundry, NVIDIA API Catalog, and Hugging Face, Phi-4-mini-flash-reasoning empowers developers to create applications that are not only fast but also scalable and capable of intensive logical processing. This accessibility allows a broader range of developers to leverage its capabilities for innovative solutions.
API Access
Has API
API Access
Has API
Integrations
Hugging Face
Microsoft 365 Copilot
Microsoft Foundry
Microsoft Foundry Agent Service
NVIDIA DRIVE
Integrations
Hugging Face
Microsoft 365 Copilot
Microsoft Foundry
Microsoft Foundry Agent Service
NVIDIA DRIVE
Pricing Details
$0.07 per 1M tokens
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Z.ai
Founded
2019
Country
China
Website
docs.z.ai/guides/llm/glm-4.7#glm-4-7-flashx
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/blog/reasoning-reimagined-introducing-phi-4-mini-flash-reasoning/