Qwen-Max, based on Qwen2.5, provides the best inference performance among Qwen models, especially for complex multi-step tasks. It's a large-scale MoE model that has been pretrained on over 20 trillion tokens and further post-trained with curated Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF) methodologies. The parameter count is unknown.
Modalities
Context
33K
Released
Feb 1, 2025
Knowledge Cutoff
Mar 2025
Qwen-Max, based on Qwen2.5, provides the best inference performance among Qwen models, especially for complex multi-step tasks. It's a large-scale MoE model that has been pretrained on over 20 trillion tokens and further post-trained with curated Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF) methodologies. The parameter count is unknown.
Qwen-Max has a 32,768 token context window.
Qwen3.8 27B, Qwen3.8 2.4T A95B, Qwen3.8 Max and 47 more are other text models from Qwen.
Qwen-Max was released on February 1, 2025. Its knowledge cutoff is March 31, 2025.
Token volume and request traffic to this model over time.