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
Token volume and request traffic to this model over time.
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.