DeepSeek-V4-Flash Reviews & Ratings

DeepSeek-V4-Flash

5.0 out of 5 stars

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What is MAI-1-preview?

The MAI-1 Preview represents the first instance of Microsoft AI's foundation model, which has been meticulously crafted in-house and employs a mixture-of-experts architecture for improved efficiency. This model has been rigorously trained using approximately 15,000 NVIDIA H100 GPUs, enabling it to effectively understand user commands and generate pertinent text answers to frequently asked questions, serving as a prototype for the future capabilities of Copilot. Currently available for public evaluation on LMArena, the MAI-1 Preview offers an early insight into the platform’s trajectory, with intentions to roll out specific text-based applications in Copilot in the coming weeks to gather user feedback and refine its functionality. Microsoft underscores its dedication to weaving together its proprietary models, partnerships, and innovations from the open-source community to enhance user experiences through millions of unique interactions daily. By adopting this forward-thinking strategy, Microsoft showcases its commitment to the continuous improvement of its AI solutions and responsiveness to user needs. This proactive approach indicates that Microsoft is not only focused on current technologies but is also actively shaping the future landscape of AI development.

What is DeepSeek-V4-Flash?

DeepSeek-V4-Flash is a next-generation Mixture-of-Experts language model engineered for high efficiency, scalability, and long-context intelligence. It consists of 284 billion total parameters with 13 billion activated parameters, enabling optimized performance with reduced computational overhead. The model supports an industry-leading context window of up to one million tokens, allowing it to process extensive datasets and complex workflows seamlessly. Its hybrid attention architecture combines advanced techniques to improve long-context efficiency and reduce memory usage. DeepSeek-V4-Flash is trained on over 32 trillion tokens, enhancing its capabilities in reasoning, coding, and knowledge-based tasks. It incorporates advanced optimization methods for stable training and faster convergence. The model supports multiple reasoning modes, including fast responses and deeper analytical processing for complex problems. While slightly less powerful than its Pro counterpart, it achieves comparable reasoning performance when given more computation budget. It is designed for agentic workflows, enabling multi-step reasoning and tool-based interactions. The model is well-suited for scalable deployments where performance and cost efficiency are both important. As an open-source solution, it offers flexibility for customization across various environments. It also reduces inference cost and resource usage compared to larger models. Overall, DeepSeek-V4-Flash delivers a strong balance of speed, efficiency, and capability for real-world AI use cases.

Media

Media

Integrations Supported

Microsoft Copilot

Integrations Supported

Buda
Cheaper Inference
Cline
ClinePass
DeepSeek
DeepSeek Harness
DeepSeek-V4
Novita AI
OpenClaw
OpenTag
Oxlo.ai
Reasonix
SnapVee Studio
Together AI
Vercel AI Gateway
ZooClaw

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$0.14 per 1M tokens (input)
DeepSeek V4 Flash API pricing per 1 million tokens is $0.14 for regular cache-miss inputs, $0.0028 for cache-hit inputs, and $0.28 for outputs.
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Microsoft AI

Date Founded

1975

Company Location

United States

Company Website

microsoft.ai/news/two-new-in-house-models/

Company Facts

Organization Name

DeepSeek

Date Founded

2023

Company Location

China

Company Website

deepseek.com

Categories and Features

AI Models

Not specified

Large Language Models

Not specified

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

Large Language Models

Not specified

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