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David Uzondu
Neowin
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Recently, Meta released Llama 4, a new family of large language models consisting of Scout, Maverick, and Behemoth. From the benchmark results, Llama 4 Maverick (Llama-4-Maverick-03-26-Experimental) came 2nd, beating models like OpenAI’s GPT-4o and Google’s Gemini 2.0 Flash, and trailing only behind Gemini 2.5 Pro.
But pretty soon, the cracks began to form as users noticed differences in behavior between the Maverick used in benchmarks and the one available to the public. This led to accusations that Meta was cheating, prompting a response from a Meta executive on X:
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