Kimi K2.5 vs Llama 4 Maverick: The Open MoE Heavyweights Go Head to Head
A detailed comparison of Kimi K2.5 and Llama 4 Maverick - two open-weight MoE models with radically different takes on the size, cost, and capability trade-off.
Articles Tagged "Meta"
Kimi K2.5 vs Llama 4 Scout: Benchmark King Meets Context King
Comparing Kimi K2.5 and Llama 4 Scout - Moonshot AI's benchmark-crushing trillion-parameter model versus Meta's 10-million-token context window specialist.
Llama 4 Maverick
Meta's Llama 4 Maverick packs 400B total parameters into a 128-expert MoE architecture with only 17B active per token, beating GPT-4o on Chatbot Arena while matching DeepSeek V3 on reasoning at half the active parameters.
Llama 4 Scout
Meta's Llama 4 Scout is a 109B-total, 17B-active MoE model with 16 experts and a 10M-token context window - the longest of any open-weight model - with native multimodal support for text and images.
Qwen3.5-122B-A10B vs Llama 4 Maverick: The Efficiency Gap Nobody Expected
A data-driven comparison of Alibaba's Qwen3.5-122B-A10B and Meta's Llama 4 Maverick - two open-weight MoE models with radically different approaches to parameter efficiency and benchmark performance.
Qwen3.5-35B-A3B vs Llama 4 Scout: 3B Active Parameters vs 17B - Does 5.7x More Compute Actually Win?
David vs Goliath: Qwen3.5-35B-A3B activates 3B parameters and beats Llama 4 Scout's 17B active on MMLU-Pro, GPQA, and coding benchmarks - but Scout's 10M context window and native multimodal support tell a different story.
Meta Strikes $100 Billion AI Chip Deal With AMD, Takes Path to 10% Stake
Meta will deploy up to 6 gigawatts of AMD Instinct GPUs across multiple generations in a deal worth up to $100 billion. AMD has issued Meta a warrant for 160 million shares - roughly 10% of the company - at a penny per share, tied to delivery milestones and AMD hitting $600.
Big Tech Will Spend $650 Billion on AI This Year - Bridgewater Says the Boom Just Got Dangerous
Bridgewater Associates warns AI capex has entered a 'dangerous phase' as Alphabet, Amazon, Meta, and Microsoft commit $650 billion to infrastructure in 2026, up 67% from last year.
They Trained on Everything: How AI Labs Consumed the World's Books and Why They're Coming for the Rest
From pirated libraries to destroyed books to ancient manuscripts, AI companies have consumed millions of copyrighted works and are now approaching the limits of available human text. Here is what they used, what they stole, and what they are looking for next.
Apple Bets Big on AI Wearables With Smart Glasses, Pendant, and Camera AirPods
Apple is accelerating development of three AI wearable devices built around a Gemini-powered Siri, setting up a direct collision with Meta in a market projected to quadruple this year.
Meta Goes All-In on Nvidia: Millions of Chips, Tens of Billions of Dollars, and a 5-Gigawatt Data Center
Meta and Nvidia announce a multiyear deal spanning millions of GPUs and CPUs, with Meta becoming the first to deploy Nvidia's Grace CPUs standalone at scale.
Llama 4 Maverick Review: Meta's Open-Weight Multimodal Contender
A comprehensive review of Meta's Llama 4 Maverick, a 400B parameter open-weight MoE model with 128 experts, 1M context, and multimodal capabilities.
