Meta: Llama 3.2 11B Vision Instruct

Meta's Llama 3.2 11B Vision Instruct model, created on September 24, 2024, demonstrates strong overall performance, particularly in its operational efficiency. It consistently ranks among the fastest models, achieving an Infinityth percentile in speed across seven benchmarks, and offers highly competitive pricing, placing in the 91st percentile across six benchmarks. The model also exhibits robust reliability, with a 94% success rate across seven benchmarks, indicating consistent and usable responses. In terms of specific benchmark performance, Llama 3.2 11B Vision Instruct shows notable strengths in Ethics (98.0% accuracy) and General Knowledge (89.3% accuracy), suggesting a strong grasp of ethical principles and broad factual information. Its Email Classification accuracy is also commendable at 94.0%. However, the model's performance in Instruction Following is a significant weakness, with one benchmark showing 0.0% accuracy and another at 29.0%. Coding and Reasoning also present areas for improvement, with accuracies of 64.0% and 54.0% respectively. Despite these variations, its core strength lies in its multimodal capabilities, bridging visual and textual data for applications like image captioning and visual question answering, making it suitable for industries requiring comprehensive visual-linguistic AI.