Qwen 2.5-VL-72B-Instruct and o1-mini-2024-09-12 Comparison: A Preliminary Benchmark

Qwen 2.5-VL-72B-Instruct in Comparison: A Look at Current Benchmarks

The development of generative AI models is progressing rapidly. New models with improved capabilities are constantly being introduced. A recent comparison test between o1-mini-2024-09-12 and Qwen 2.5-VL-72B-Instruct, initiated by a post on X (formerly Twitter), provides interesting insights into the performance of these two models. The focus of the comparison was on content generation, where Qwen 2.5-VL-72B-Instruct emerged as the winner in this specific scenario.

Qwen 2.5-VL-72B-Instruct is a large language model developed by Alibaba Cloud. It belongs to the Qwen family and is characterized by its multimodal capabilities. The "VL" in the name stands for "Vision-Language," highlighting the model's ability to process both text and images. This capability enables Qwen 2.5-VL-72B-Instruct to handle complex tasks that require an understanding of both modalities.

In comparison, o1-mini-2024-09-12 is a smaller language model. Details about its capabilities and developers are less publicly accessible. The comparison test, which was shared on X, focused on a specific use case. The models were prompted to generate a piece of music in the chiptune style, based on Beethoven's "Für Elise." The evaluation of the result was subjective, conducted by the user, who preferred Qwen 2.5-VL-72B-Instruct due to the quality of the generated music.

It is important to emphasize that this comparison represents only a small snippet of the capabilities of both models. The performance of an AI model depends heavily on the specific task and the evaluation criteria used. A comprehensive comparison would need to consider a variety of tasks and metrics.

For companies like Mindverse, which specialize in the development of AI solutions, such comparisons are of great interest. They offer valuable insights into the current state of the art and help in the selection and development of suitable AI models for customer-specific applications. Mindverse offers a wide range of AI services, including chatbots, voicebots, AI search engines, and knowledge systems. The constant evaluation of new models and technologies is crucial for developing innovative and powerful solutions for customers.

The rapid development in the field of generative AI makes continuous comparisons and benchmarks essential. Only in this way can companies like Mindverse stay at the cutting edge and always offer their customers the best solutions. The results of the comparison between o1-mini-2024-09-12 and Qwen 2.5-VL-72B-Instruct provide an interesting glimpse into current developments and underscore the potential of multimodal AI models.

Bibliographie: https://huggingface.co/Qwen/Qwen2.5-VL-72B-Instruct https://github.com/QwenLM/Qwen2.5-VL https://huggingface.co/Qwen/Qwen2-VL-72B-Instruct https://www.reddit.com/r/LocalLLaMA/comments/1gqfzdh/qwen_25_32b_coder_instruct_vs_72b_instruct/ https://www.youtube.com/watch?v=ssJ4JLF1dA0 https://llm-stats.com/models/compare/qwen2-vl-72b-vs-o1-mini https://llm-stats.com/models/compare/qwen2-72b-instruct-vs-o1-mini