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What is Qwen2.5-Max?

Qwen2.5-Max is a cutting-edge Mixture-of-Experts (MoE) model developed by the Qwen team, trained on a vast dataset of over 20 trillion tokens and improved through techniques such as Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF). It outperforms models like DeepSeek V3 in various evaluations, excelling in benchmarks such as Arena-Hard, LiveBench, LiveCodeBench, and GPQA-Diamond, and also achieving impressive results in tests like MMLU-Pro. Users can access this model via an API on Alibaba Cloud, which facilitates easy integration into various applications, and they can also engage with it directly on Qwen Chat for a more interactive experience. Furthermore, Qwen2.5-Max's advanced features and high performance mark a remarkable step forward in the evolution of AI technology. It not only enhances productivity but also opens new avenues for innovation in the field.

What is DeepSeek-V3.1-Terminus?

DeepSeek has introduced DeepSeek-V3.1-Terminus, an enhanced version of the V3.1 architecture that incorporates user feedback to improve output reliability, uniformity, and overall performance of the agent. This upgrade notably reduces the frequency of mixed Chinese and English text as well as unintended anomalies, resulting in a more polished and cohesive language generation experience. Furthermore, the update overhauls both the code agent and search agent subsystems, yielding better and more consistent performance across a range of benchmarks. DeepSeek-V3.1-Terminus is released as an open-source model, with its weights made available on Hugging Face, thereby facilitating easier access for the community to utilize its functionalities. The model's architecture stays consistent with that of DeepSeek-V3, ensuring compatibility with existing deployment strategies, while updated inference demonstrations are provided for users to investigate its capabilities. Impressively, the model functions at a massive scale of 685 billion parameters and accommodates various tensor formats, such as FP8, BF16, and F32, which enhances its adaptability in diverse environments. This versatility empowers developers to select the most appropriate format tailored to their specific requirements and resource limitations, thereby optimizing performance in their respective applications.

Media

Media

Integrations Supported

Hugging Face
Alibaba Cloud
ModelScope
Qwen Studio

Integrations Supported

Hugging Face
Alibaba Cloud
ModelScope
Qwen Studio

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Alibaba

Date Founded

1999

Company Location

China

Company Website

qwenlm.github.io/blog/qwen2.5-max/

Company Facts

Organization Name

DeepSeek

Date Founded

2023

Company Location

China

Company Website

api-docs.deepseek.com/news/news250922

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