A user from the LocalLLaMA community initiated a discussion about the performance of Qwen3.5 models, particularly the Qwen3.5 27B model. The discussion stems from a comparison with other recently released models, including Minimax M2.7, Mimo-v2-pro, Nemotron 3 super, and Mistral small 4.

Knowledge Density

The user highlights that, based on Artificial Analysis and community feedback, none of the competing models seem to approach the knowledge density offered by the Qwen3.5 series. While acknowledging the limitations of synthetic benchmarks, the direct experience of several users seems to confirm the potential of Qwen models.

Success Factors

The Qwen technical report suggests that the model's success may be related to the scaling and generalization of the reinforcement learning environments used during training. The user wonders what other factors, under the previous leadership of the Qwen team, contributed to improving the model's performance in relation to size, knowledge, and performance.