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What is MiMo-V2.5?

Xiaomi MiMo-V2.5 is a powerful open-source AI model designed to deliver advanced agentic capabilities alongside native multimodal understanding. It can process and reason across text, images, and audio within a unified system, enabling more complex and realistic interactions. The model is built using a sparse Mixture-of-Experts architecture with hundreds of billions of parameters, allowing it to scale efficiently while maintaining strong performance. It supports an extended context window of up to one million tokens, making it suitable for long-horizon tasks and detailed workflows. MiMo-V2.5 incorporates dedicated visual and audio encoders that enhance its ability to interpret and analyze multimodal inputs. It is capable of performing a wide range of tasks, including coding, reasoning, document analysis, and multimedia understanding. The model demonstrates strong benchmark performance across coding, reasoning, and multimodal evaluation tests. It is optimized for token efficiency, reducing computational cost while maintaining high-quality outputs. MiMo-V2.5 is designed to integrate with development tools and frameworks for real-world use cases. Xiaomi has released the model as open source, providing access to its weights, tokenizer, and architecture. This allows developers to customize and deploy the model for specific applications. Its ability to combine perception and reasoning makes it suitable for advanced AI workflows. By unifying multimodality and agentic intelligence, MiMo-V2.5 represents a significant advancement in open-source AI technology.

What is DeepSeek-V4?

DeepSeek-V4 is a cutting-edge open-source AI model built to deliver exceptional performance in reasoning, coding, and large-scale data processing. It supports an industry-leading one million token context window, allowing it to manage long documents and complex tasks efficiently. The model includes two variants: DeepSeek-V4-Pro, which offers 1.6 trillion parameters with 49 billion active for top-tier performance, and DeepSeek-V4-Flash, which provides a faster and more cost-effective alternative. DeepSeek-V4 introduces structural innovations such as token-wise compression and sparse attention, significantly reducing computational overhead while maintaining accuracy. It is designed with strong agentic capabilities, enabling seamless integration with AI agents and multi-step workflows. The model excels in domains such as mathematics, coding, and scientific reasoning, outperforming many open-source alternatives. It also supports flexible reasoning modes, allowing users to optimize for speed or depth depending on the task. DeepSeek-V4 is compatible with popular APIs, making it easy to integrate into existing systems. Its open-source nature allows developers to customize and scale it according to their needs. The model is already being used in advanced coding agents and automation workflows. It delivers a strong balance of performance, efficiency, and scalability for real-world applications. Overall, DeepSeek-V4 represents a major advancement in accessible, high-performance AI technology.

Media

Media

Integrations Supported

Cline
Hermes Agent
OpenClaw
Vercel AI Gateway
Shiori
Xiaomi MiMo

Integrations Supported

Cline
Hermes Agent
OpenClaw
Vercel AI Gateway
Bash
C
C++
DeepSeek
DeepSeek-V4.1-Flash-1017
Go
JavaScript
Lua
PowerShell
Ruby
Rust
Scala
Solidity
ZooClaw

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Free
Open source
Free Version

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

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

Xiaomi Technology

Date Founded

2010

Company Location

China

Company Website

mimo.xiaomi.com

Company Facts

Organization Name

DeepSeek

Date Founded

2023

Company Location

China

Company Website

deepseek.com

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Reasoning Models

Not specified

Foundation 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

Open-Weight AI Models

Not specified

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