Mistral Small 3 vs Qwen vs DeepSeek vs ChatGPT: Capabilities, speed, use cases and more compared
The landscape of generative AI is evolving rapidly, with companies racing to build more efficient, capable, and accessible models. Among the latest entrants, Mistral Small 3, Alibaba’s Qwen2.5-Max, and DeepSeek R1 are vying for dominance alongside OpenAI’s established ChatGPT. As per the company, Mistral Small 3 excels in: Fast-response conversational AI Domain-specific fine-tuning for specialised knowledge Local deployment, capable of running on a single RTX 4090 or MacBook with 32GB RAM Qwen2.5-Max Alibaba’s Qwen2.5-Max is an extremely large Mixture-of-Experts model, pretrained on over 20 trillion tokens. Qwen2.5-Max is claimed to stand out for: Strong performance in general reasoning and knowledge-based tasks Advanced coding capabilities tested through LiveCodeBench Availability via Alibaba Cloud and Qwen Chat DeepSeek R1 DeepSeek R1, another open-source contender, emphasises accrued reasoning and task specialisation. Unlike Mistral Small 3, which is not trained with RL or synthetic data, DeepSeek R1 leverages reinforcement learning techniques to enhance response quality.
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