Qwen 3.5 trades DeepStack for native multimodal speed

Alibaba's Qwen 3.5 is a major pivot toward efficiency and speed, even if it means ditching some fine-grained visual tricks.

• –DeepStack's removal (or evolution) simplifies the vision-language bottleneck, enabling speeds of over 100 tokens/sec.
• –The shift to Multi-Token Prediction (MTP) effectively replaces the need for separate draft models or stacking layers.
• –Early benchmarks suggest the model is faster and better at reasoning, though some users report "overthinking" issues in specific logic tasks.
• –The tradeoff favors scaling and throughput, making the models more viable for real-time edge deployment.