Skywork MindLink – the open-source inference large model developed by Kunlun Wanwei

What is Skywork MindLink？

Skywork MindLink is an open-source inference large model developed by Kunlun Wanwei. It features an adaptive reasoning mechanism that dynamically switches reasoning modes based on task complexity—offering fast generation for simple tasks and deep inference for complex ones, balancing efficiency and accuracy. Its plan-based reasoning paradigm eliminates the need for “think” tags, reducing inference costs and improving multi-turn dialogue capabilities. The model also introduces a new mathematical analysis approach that significantly enhances mathematical reasoning performance.

Skywork MindLink ranked first in the “Final Exam for Humanity” benchmark and topped four evaluations in the mathematics domain, including USAMO. It is post-trained on Qwen3-32B and Qwen2.5-72B, which saves considerable training costs while further enhancing model capabilities.

Key Features of Skywork MindLink

• Adaptive Reasoning Mechanism
  Skywork MindLink intelligently integrates reasoning and non-reasoning responses based on task difficulty. It quickly generates results for simple tasks and engages in deep reasoning for complex ones, ensuring accuracy and reliability.

• Plan-Based Reasoning
  Using an innovative reasoning paradigm, the model removes the traditional “think” tag, streamlining the inference process, reducing costs, and enhancing multi-turn dialogue capability.

• Novel Mathematical Analysis Method
  The model introduces a new methodology to evaluate the effectiveness of Chain of Thought (CoT) and plan-based reasoning, significantly boosting performance in mathematical reasoning.

Technical Principles of Skywork MindLink

• Adaptive Reasoning Mechanism
  The model intelligently adapts its output generation approach depending on task complexity—generating fast responses for simple inputs and invoking deep reasoning paths for complex queries to ensure reliability and precision.

• Plan-Based Reasoning
  By removing the conventional “think” prompt token, Skywork MindLink minimizes unnecessary reasoning steps, reducing computational overhead and improving its ability to handle extended conversations.

• Mathematical Reasoning Optimization
  A novel mathematical framework is used to analyze the effectiveness of Chain of Thought and plan-based strategies, leading to substantial improvements in solving complex mathematical problems.

• Post-Training on Existing Models
  Skywork MindLink is post-trained on Qwen3-32B and Qwen2.5-72B, which significantly reduces training costs while boosting performance beyond the base models.

Project Links

• GitHub Repository: https://github.com/SkyworkAI/MindLink

• Technical Paper: mindlink.pdf

• Hugging Face Models:

  • MindLink-32B

  • MindLink-72B

Application Scenarios of Skywork MindLink

• Personalized Learning
  Offers tailored learning advice and tutoring based on students’ progress and capabilities.

• Intelligent Tutoring
  Provides in-depth reasoning and step-by-step solutions for complex problems.

• Assisted Diagnosis
  Supports doctors in diagnosing diseases by offering data-driven analysis and recommendations.

• Risk Assessment
  Enables efficient and precise risk evaluations in financial services, assisting institutions in making better decisions.

• Intelligent Customer Service
  Delivers fast and accurate responses to customer inquiries, improving user satisfaction.