Mistral Small 3 vs. Qwen vs. Deepsek vs. Chatgpt: Use capabilities, speed, cases and compare more. Mint

Normal AI landscape is growing rapidly, racing to create more efficient, competent and accessible models with companies. Among the latest entrances, Mistral Small 3, Alibaba’s Qwen2.5-Max, and Deepsek R1 are dying for dominance with the installed chatgpt of Openai. Each model presents a unique approach to AI and used cases.

Mistral small 3

The latest model of Mistral AI, Mistral Small 3, is a 24 billion-parameter model claimed to be adapted for low-oppression applications. Issued under Open Apache 2.0 License, it has been deployed as a direct contestant for large models like Lama 3.3 70B and Quven 32B, which claims to boast the speed while maintaining the same level of performance. Did According to the company, Mistral Small 3 Excel:

Qwen2.5-max

Alibaba’s Qwen2.5-Max is a very large mix-off-out-out-out-out-out-out, which exceeds 20 trillion tokens. It is claimed to take advantage of learning of supervised fine-tuning (SFT) and reinforcement from human response (RLHF) to increase its capabilities. The Chinese company suggests that in the benchmark, the platform Dipsek V3 in various tests, including the Arena -Hard and Livebench, competes closely with the GPT -4O.

Qwen2.5-max is claimed to stand out:

• Strong performance in general logic and knowledge-based tasks
• Advanced coding capabilities were tested through livecodebench
• Availability through Alibaba Cloud and Quven Chat

Deepsek R1

Dipsek R1, another open-source contender, emphasizes earned logic and work expertise. Unlike Mistral Small 3, which is not trained with RL or synthetic data, the Deepsek R1 takes advantage of the techniques of reinforcement to increase reaction quality. While Deepsek R1 GPT -4 O or Cloud -3.5 has not been widely benchmark, it acts as a valuable resource for researchers and developers, using with an open -weet AI model Interested in

Puffy

Openai’s chat, especially the latest repetitions such as GPT-4O, remains benchmark for commercial AI performance. During ownership, it benefits from extensive post-training and learning learning, which enables this logic, condensed consistency and creative generations. Chatgpt is widely used:

• General knowledge and logic work
• Vocational application for customer aid and automation
• Creative writing and problem

While each model has its own strength, the option between them depends on the case of use. Mistral Small 3 is ideal for users who prefer speed and local deployment, qwen2.5-max provides powerful large-scale intelligence information, Deepseek R1 offers an open-source option, and a commercial in Chatgpt generative AI The standard of gold remains.