Llama 4, Mistral Large and Qwen 3 compared across coding, reasoning and multilingual tasks

On November 4, 2026, a selection guide published on DEV Community set out to help developers choose among three open-source LLMs: Meta's Llama 4, Mistral's Large model, and Alibaba's Qwen 3. The article frames the question around compute budget and evaluates the three models across four task scenarios: coding, reasoning, multilingual work, and creative writing.

The author's verdict draws a clear split. Llama 4 is presented as the best all-around choice, credited with the largest ecosystem and the most complete fine-tuning support; the model ships in three sizes, Scout, Maverick, and Behemoth. Mistral Large, built on a MoE architecture, is described as approaching frontier-level performance on reasoning and coding while consuming far less compute. Qwen 3 is singled out for its strength in multilingual tasks, with particular proficiency in Asian languages and mathematical reasoning.

As of now, the discussion stands at the conclusions of this single comparison article, with no further reporting or follow-up developments around the three models.