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In the latest LM Arena Search Arena evaluation, Perplexity's Sonar-Reasoning-Pro-High model performed exceptionally well, tying with Google's Gem-2.5-Pro-Grounding model for first place and achieving a 53% win rate in head-to-head comparisons. This news has sent shockwaves through the search engine industry, showcasing Perplexity's powerful AI search technology.

Meta's open-source large language model, Llama-4-Maverick, has experienced a dramatic drop in LMArena rankings, plummeting from second place to 32nd. This significant shift has sparked widespread skepticism among developers, who suspect Meta may have manipulated the benchmark by submitting a specially optimized version. The issue stems from Meta's April 6th release of its latest large language model, Llama 4, encompassing three versions: Scout, Maverick, and Behemoth.

Meta released its new flagship AI model, Maverick, on Saturday. The model ranked second in the LM Arena benchmark. LM Arena is a testing platform that relies on human raters to compare different model outputs and select their preferences. However, several AI researchers quickly discovered that the version of Maverick deployed to LM Arena appears significantly different from the version widely used by developers. Meta acknowledged in its announcement that the Maverick on LM Arena is an experimental version.