Meta scrambling to defend its AI after Llama 4 benchmark bungle
This weekend, Meta surprised everyone and released two flavors (“Maverick” medium and “Scout” small) of its highly anticipated Llama 4 AI model. Llama 4’s release is a big deal, as the company has been hyping it up as the key to its AI plans in the coming year.
When a major new model drops, people do two things: check to see how the model scored on major benchmarks, and load up the model and kick the tires.
Llama 4’s benchmark scored some eye-popping results for ChatbotArea, a popular human-powered benchmark that’s a sort of blind taste test for AI models with side-by-side results. But after looking at the fine print, some in the community cried foul, as Meta achieved the higher score using an “experimental chat version” of Llama 4 that was not available to the public.
A footnote to a chart that highlighted Llama 4’s standout score read “LMArena testing was conducted using Llama 4 Maverick optimized for conversationality.”
In response to the controversy, LMArena (which runs the Chatbot Arena benchmark) updated its guidelines for testing:
“Meta’s interpretation of our policy did not match what we expect from model providers. Meta should have made it clearer that ‘Llama-4-Maverick-03-26-Experimental’ was a customized model to optimize for human preference. As a result of that we are updating our leaderboard policies to reinforce our commitment to fair, reproducible evaluations so this confusion doesn’t occur in the future.”
This led to some unfounded accusations that Meta had trained its model on test datasets — akin to giving a kid the answers to a quiz before having them take the test.
To quell the firestorm of questions surrounding the model’s release, Meta’s head of generative AI, Ahmad Al-Dahle, refuted the claims in a post on X yesterday.
We’re glad to start getting Llama 4 in all your hands. We’re already hearing lots of great results people are getting with these models.
That said, we’re also hearing some reports of mixed quality across different services. Since we dropped the models as soon as they were…
— Ahmad Al-Dahle (@Ahmad_Al_Dahle) April 7, 2025
The release was also unusual for what was missing from the release: the extra-large version of the model named “Behemoth.” Meta said the model was still being trained, but boasted about its performance nonetheless.
“Llama 4 Behemoth outperforms GPT-4.5, Claude Sonnet 3.7, and Gemini 2.0 Pro on several STEM benchmarks. Llama 4 Behemoth is still training, and we’re excited to share more details about it even while it’s still in flight.”
Meta did not immediately respond to a request for comment.
