What Sets the Latest LLMs Apart? A Deep Dive into V3, OLMo, Gemma, Mistral, Llama 4 and More

This article systematically compares the architectures of recent large language models—including DeepSeek V3/R1, OLMo 2, Gemma 3, Mistral Small 3.1, Llama 4, Qwen 3, SmolLM 3 and Kimi 2—highlighting innovations such as MLA, MoE, post‑norm, sliding‑window attention, NoPE and optimizer choices, with diagrams and code examples to illustrate their impact on efficiency and performance.

ComparisonLLMMLA

0 likes · 12 min read

What Sets the Latest LLMs Apart? A Deep Dive into V3, OLMo, Gemma, Mistral, Llama 4 and More

DevOps

Apr 7, 2025 · Artificial Intelligence

Meta Llama 4 Scout, Maverick, and Behemoth: Architecture, NoPE Innovation, and Training Advances

The article introduces Meta's newly open‑sourced Llama 4 series—including Scout with a 1 billion‑token context window, Maverick with 400 billion parameters, and the upcoming Behemoth teacher model—detailing their expert‑mix architecture, the NoPE positional‑encoding removal, training pipelines, performance benchmarks, and infrastructure improvements for large‑scale AI research.

AI researchContext WindowLlama 4

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Meta Llama 4 Scout, Maverick, and Behemoth: Architecture, NoPE Innovation, and Training Advances

What Sets the Latest LLMs Apart? A Deep Dive into V3, OLMo, Gemma, Mistral, Llama 4 and More

Meta Llama 4 Scout, Maverick, and Behemoth: Architecture, NoPE Innovation, and Training Advances

What Sets the Latest LLMs Apart? A Deep Dive into V3, OLMo, Gemma, Mistral, Llama 4 and More

Meta Llama 4 Scout, Maverick, and Behemoth: Architecture, NoPE Innovation, and Training Advances