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What is QVQ-Max?

QVQ-Max is a cutting-edge visual reasoning AI that merges detailed observation with sophisticated reasoning to understand and analyze images, videos, and diagrams. This AI can identify objects, read textual labels, and interpret visual data for solving complex math problems or predicting future events in videos. Furthermore, it excels at flexible applications, such as designing illustrations, creating video scripts, and enhancing creative projects. It also assists users in educational contexts by helping with math and physics problems that involve diagrams, offering intuitive explanations of challenging concepts. In daily life, QVQ-Max can guide decision-making, such as suggesting outfits based on wardrobe photos or providing step-by-step cooking advice. As the platform develops, its ability to handle even more complex tasks, like operating devices or playing games, will expand, making it an increasingly valuable tool in various aspects of life and work.

What is DeepSeek-Coder-V2?

DeepSeek-Coder-V2 represents an innovative open-source model specifically designed to excel in programming and mathematical reasoning challenges. With its advanced Mixture-of-Experts (MoE) architecture, it features an impressive total of 236 billion parameters, activating 21 billion per token, which greatly enhances its processing efficiency and overall effectiveness. The model has been trained on an extensive dataset containing 6 trillion tokens, significantly boosting its capabilities in both coding generation and solving mathematical problems. Supporting more than 300 programming languages, DeepSeek-Coder-V2 has emerged as a leader in performance across various benchmarks, consistently surpassing other models in the field. It is available in multiple variants, including DeepSeek-Coder-V2-Instruct, tailored for tasks based on instructions, and DeepSeek-Coder-V2-Base, which serves well for general text generation purposes. Moreover, lightweight options like DeepSeek-Coder-V2-Lite-Base and DeepSeek-Coder-V2-Lite-Instruct are specifically designed for environments that demand reduced computational resources. This range of offerings allows developers to choose the model that best fits their unique requirements, ultimately establishing DeepSeek-Coder-V2 as a highly adaptable tool in the ever-evolving programming ecosystem. As technology advances, its role in streamlining coding processes is likely to become even more significant.

Media

Media

Integrations Supported

Integrations Supported

C
C#
C++
CSS
Clojure
Elixir
F#
Go
HTML
Java
JavaScript
Julia
Kotlin
PHP
R
Rust
SQL
Scala
TypeScript
Visual Basic

API Availability

API Availability

Has API

Pricing Information

Free
Open source
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

Alibaba

Date Founded

1999

Company Location

China

Company Website

qwenlm.github.io/blog/qvq-max-preview/

Company Facts

Organization Name

DeepSeek

Date Founded

2023

Company Location

China

Company Website

www.deepseek.com

Categories and Features

AI Models

Not specified

AI Vision Models

Not specified

Categories and Features

AI Code Generators

Not specified

AI Coding Models

Not specified

AI Models

Not specified

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