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Meta's Llama 4 has prompted significant discussion within the AI community, especially after a flurry of reactions highlighting its initial performance on various benchmarks. One notable analysis from Artificial Analysis focused on the two latest versions: Maverick and Scout. Maverick is the 42 billion parameter model, while Scout is a more compact version with 109 billion parameters. Maverick's performance was notably impressive, surpassing that of Claude 3.7 Sonnet, which is recognized as one of the leading coding models. It’s crucial to note that while Maverick excels against its direct competitors, it still trails behind DeepSeek's V3 model, which has set a high bar for efficiency and performance.