Qwen2.5-Max

Qwen2.5-Max

Qwen2.5-Max is a cutting-edge Mixture-of-Experts (MoE) model that has been pretrained on over 20 trillion tokens and enhanced through Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF). It showcases superior performance against competitors like DeepSeek V3 across various benchmarks, including Arena-Hard and LiveBench. Available via API on Alibaba Cloud, users can engage with Qwen2.5-Max on Qwen Chat for interactive experiences.

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Top Qwen2.5-Max Features

  • Large-scale MoE architecture
  • Pretrained on 20 trillion tokens
  • Supervised Fine-Tuning integration
  • Reinforcement Learning from Human Feedback
  • Competitive in multiple benchmarks
  • API access via Alibaba Cloud
  • OpenAI API compatibility
  • Interactive Qwen Chat experience
  • Enhanced reasoning capabilities
  • Extensive model performance evaluation
  • Support for coding tasks
  • Direct comparison with top models
  • Advanced data scaling techniques
  • Rapid performance improvements anticipated
  • User-friendly API key generation
  • Real-time interaction and artifact exploration
  • Comprehensive knowledge assessment capabilities
  • Strong community engagement
  • Continuous research advancements.