Qwen: Qwen3.5-35B-A3B

The Qwen3.5-35B-A3B model, a native vision-language model with a hybrid architecture, demonstrates exceptional speed and competitive pricing. It consistently ranks among the fastest models across 8 benchmarks and offers among the most competitive pricing across 4 benchmarks. The model exhibits strong reliability with an 88% success rate, indicating consistent operational stability. In terms of benchmark performance, Qwen3.5-35B-A3B shows notable strengths in specific areas. It achieves a high 98.0% accuracy in Hallucinations (Baseline), placing it in the 64th percentile, and demonstrates strong Instruction Following with 74.7% accuracy (82nd percentile). Its Email Classification accuracy is also impressive at 99.0% (74th percentile). However, a significant weakness is apparent in its performance on General Knowledge, Coding, Reasoning, Ethics, and Mathematics benchmarks, where it recorded 0.0% accuracy across all these categories. This suggests the model, while efficient and reliable for certain tasks, may not be suitable for applications requiring broad factual recall, complex problem-solving, or ethical judgment. Its hybrid architecture and integration of linear attention and sparse mixture-of-experts contribute to its high inference efficiency, making it a strong contender for tasks where speed and cost-effectiveness are paramount, provided the task aligns with its demonstrated strengths.