Qwen: Qwen3 VL 235B A22B Thinking

Qwen3-VL-235B-A22B Thinking, a multimodal model excelling in text generation and visual understanding, demonstrates exceptional speed, consistently ranking among the fastest models. It also offers highly competitive pricing across various benchmarks. The model's performance across different categories presents a mixed profile. It shows strong capabilities in Email Classification (97.8% accuracy) and a reasonable ability to acknowledge uncertainty in Hallucinations (95.2% accuracy). However, its performance in core reasoning and knowledge-based tasks is notably weak, with 0.0% accuracy in Coding, General Knowledge, and Ethics, and very low accuracy in Reasoning (3.4%) and Mathematics (3.1%). This suggests a significant disparity between its multimodal perception and its ability to apply that understanding to complex problem-solving or factual recall. While optimized for multimodal reasoning in STEM and math, the benchmark results do not yet reflect this specialization in quantitative or logical tasks. Its strengths lie in classification and uncertainty handling, alongside its advanced multimodal features like agentic interaction, tool use, and visual coding workflows.