Meta has introduced the discharge of two new open-weight multimodal fashions—Llama 4 Scout and Llama 4 Maverick. Each fashions at the moment are out there for obtain on llama.com and Hugging Face and could be accessed by way of Meta AI merchandise on WhatsApp, Messenger, Instagram Direct, and the Meta AI web site.
Llama 4 Scout and Maverick are constructed on a mixture-of-experts (MoE) structure, making them Meta’s most superior fashions launched up to now. Llama 4 Scout options 17 billion energetic parameters and 16 consultants, designed to suit inside a single H100 GPU. In keeping with Meta, it helps an industry-leading 10 million token context window, enabling advanced duties resembling multi-document summarisation and reasoning over massive codebases.
Meta stated, “Scout is our most effective mannequin ever in its class. It delivers efficiency that surpasses Llama 3 whereas being extra scalable.” The mannequin achieves higher outcomes than competing techniques, together with Gemma 3, Gemini 2.0 Flash-Lite, and Mistral 3.1 on broadly reported benchmarks.
Llama 4 Maverick, additionally a 17 billion energetic parameter mannequin however with 128 consultants, is designed for higher-end use instances. It contains 400 billion whole parameters and performs competitively with bigger fashions like DeepSeek V3 on reasoning and coding duties. Meta stated that Maverick exceeds GPT-4o and Gemini 2.0 Flash on a number of benchmarks. It scored an ELO of 1417 on LMArena in experimental chat settings.
Meta chief Mark Zuckerberg described it because the “workhorse,” constructed for larger-scale duties. He stated it “beats GPT-4o and Gemini Flash 2 on all benchmarks” whereas remaining “smaller and extra environment friendly than DeepSeek-V3.”
“These fashions symbolize a step ahead in balancing efficiency and price,” Meta stated. “Maverick can run on a single H100 host or scale to distributed inference, providing builders flexibility.”
The fashions have been distilled from Llama 4 Behemoth, a yet-unreleased instructor mannequin that can also be a multimodal mixture-of-experts mannequin, with 288B energetic parameters, 16 consultants, and almost two trillion whole parameters. Behemoth continues to be in coaching however has already demonstrated top-tier outcomes on STEM benchmarks resembling MATH-500 and GPQA Diamond, outperforming GPT-4.5, Claude Sonnet 3.7, and Gemini 2.0 Professional.
Meta famous that Behemoth is not going to be launched but, but it surely performed a central position in shaping the smaller fashions by means of a course of referred to as codistillation. The coaching concerned improvements resembling a novel distillation loss perform and dynamic knowledge choice methods.
Zuckerberg stated the corporate will subsequent launch the Llama 4 reasoning mannequin. He added that particulars might be shared subsequent month.
The corporate additionally shared new architectural insights. Each Scout and Maverick use interleaved consideration layers with out positional embeddings and a way referred to as inference-time temperature scaling to generalise throughout longer enter sequences. The fashions have been pre-trained on numerous multimodal knowledge, together with picture and video body stills, and assist multimodal interactions throughout a number of pictures and textual content.
When it comes to coaching methodology, Meta launched a light-weight supervised fine-tuning (SFT) method adopted by on-line reinforcement studying (RL) and direct choice optimisation (DPO). For Maverick, over 50% of SFT knowledge was filtered out to deal with more durable examples, enhancing the mannequin’s efficiency in reasoning and dialog.
Meta highlighted the strategic significance of openness in its launch. “We consider openness drives innovation and advantages everybody,” the corporate stated. Llama 4 Scout and Maverick are being launched beneath open phrases, with broader entry anticipated quickly by means of cloud suppliers and companions.
The announcement comes forward of LlamaCon, scheduled for April 29, the place Meta plans to share extra about its imaginative and prescient for the way forward for the Llama platform.
“That is only the start,” Meta acknowledged. “We’re constructing fashions that may purpose, perceive pictures, and converse naturally to assist the following era of functions.”
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