GPT-4 to Self-Hosted Llama 4 Migration Guide
Migrate from GPT-4o (now retired) or GPT-5.1 to self-hosted Llama 4 with near-zero code changes, but plan carefully for hardware, EU licensing, and realistic context window limits.
Articles Tagged "Llama"
Llama 3.3 70B Instruct
Meta's Llama 3.3 70B Instruct matches Llama 3.1 405B on instruction following and math while running at 4-5x lower cost, with the lowest hallucination rate of any open-weight model on the Vectara summarization leaderboard.
State of Open-Source LLMs 2026: Rankings and Trends
The state of open-source large language models in 2026 - who leads, how close they are to proprietary models, which licenses allow commercial use, and how to access them.
Fine-Tuning Costs Comparison - Train Your Own AI
May 2026: Together AI adds Llama 4 and DeepSeek fine-tuning, Fireworks raised deployment prices $1/hr, and H100 rentals fell to under $2.40/hr.
Meta Closes the Open-Source Door on Frontier AI
Meta's Superintelligence Labs will ship its first flagship models under a closed license, ending the company's open-source-first strategy at the frontier tier.
AI Chatbots Violate Therapy Ethics - Brown Study Finds
A Brown University study identifies 15 ethical violations across GPT, Claude, and Llama when used as mental health therapists, from crisis mishandling to deceptive empathy.
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.
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.
