Grok 4.5 Explained: Architecture, Benchmarks and Deployment (2026)
Grok 4.5 explained: xAI's 2026 flagship - MoE architecture, 500K context, Cursor-tuned agentic coding, benchmark scores, API pricing, deployment and honest limits.
Claude Opus 5 Explained: Architecture, Benchmarks and Deployment (2026)
Claude Opus 5 explained: Anthropic's 2026 frontier model - 1M-token context, effort toggle, 96% SWE-bench Verified, pricing, deployment and honest limits.
Kimi K3 Explained: Moonshot’s 2.8T Open-Weight Reasoning Model (2026)
Kimi K3 explained: Moonshot AI's 2.8T-parameter open-weight MoE - Kimi Delta Attention, 1M-token context, training, benchmarks, deployment cost and honest limits of the reasoning model in 2026.
Physical Intelligence pi0.5 Explained: The VLA Robot Foundation Model (2026)
Physical Intelligence pi0.5 explained: the ~3.3B vision-language-action robot foundation model - architecture, FAST action tokenization, training on 10+ embodiments, benchmarks, deployment and honest limits in 2026.
Mistral Large 3 Explained: Architecture & Benchmarks (2026)
Mistral Large 3 explained: the 675B/41B Apache-2.0 sparse MoE with a 262K context window - architecture, training, benchmarks, licensing, self-hosting VRAM, pricing and honest limits in 2026.
OpenAI Sora 2 Explained: Video Generation Architecture (2026)
OpenAI Sora 2 explained: the diffusion-transformer video model - spacetime patches, MM-DiT with synchronized audio, latent compression, clip length, physics, deployment, pricing and honest limits in 2026.
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.