GPT-4 to Self-Hosted Llama 4 Migration Guide
Switch from OpenAI's GPT-4 API to self-hosted Llama 4 with near-zero code changes, but plan carefully for hardware, EU licensing, and real context window limits.
Llama 4
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.
