Kimi K2 Explained: Architecture, Training, and Benchmarks (2026)
A deep dive on Moonshot AI Kimi K2: the Mixture-of-Experts architecture, training recipe, agentic and coding benchmarks, open weights, license, and how it compares to peers.
Google Gemini 3.5 Pro Explained: Architecture, Benchmarks, and 2M Context (2026)
Google Gemini 3.5 Pro explained: the 2M-token context flagship, architecture, training, benchmark scores, pricing, and how it compares to GPT-5.6 and Claude.
Google Gemini 3.5 Flash Explained: Architecture, Benchmarks, and Deployment (2026)
Google Gemini 3.5 Flash explained: the MoE multimodal architecture, context window, real 2026 benchmarks, pricing, latency, and how it compares to GPT and Claude.
DeepSeek V4 Explained: Architecture, Sparse Attention, Benchmarks, and Deployment (2026)
DeepSeek V4 explained: the 1.6T-parameter MoE architecture, Compressed Sparse Attention, 1M-token context, SWE-bench and reasoning benchmarks, pricing, and how to deploy it.
DeepSeek V4 Explained: Architecture, Sparse Attention, Benchmarks, and Deployment (2026)
DeepSeek V4 explained: the 1.6T-parameter MoE architecture, Compressed Sparse Attention, 1M-token context, SWE-bench and reasoning benchmarks, pricing, and how to deploy it.
Qwen3.6 Explained: Hybrid MoE Architecture, 1M Context, and Benchmarks
Qwen3.6 explained: Alibaba's hybrid Gated DeltaNet MoE flagship, the open-weight 27B and 35B-A3B variants, 1M-token context, benchmarks, license, pricing, and how to deploy it.
Llama 4 Explained: Scout, Maverick, and Behemoth (MoE)
Llama 4 explained: Meta's Scout, Maverick, and Behemoth mixture-of-experts models - architecture, context window, benchmarks, license, and how to deploy them.
GPT-5.6 Explained: OpenAI’s Sol, Terra, and Luna
GPT-5.6 explained: OpenAI's Sol, Terra, and Luna tiered family - architecture signals, reasoning modes, benchmarks, pricing, access, and how it compares in 2026.