Open vs Closed AI in 2026: The Real Cost Gap (We Priced 29 Models)
We priced all 29 models in our database and split them open vs proprietary. The 5 cheapest are all open-weight; the 5 most expensive all proprietary. The typical gap: 39×.
AI Benchmarks
AI benchmark coverage: what MMLU, GPQA, SWE-bench, Terminal-Bench and ARC-AGI actually measure, who leads each one, and how to read a vendor’s claim critically.
The 2026 AI Price-Performance Index: Which Model Gives You the Most Intelligence per Dollar?
We combined live API pricing with the Artificial Analysis Intelligence Index to rank AI models by intelligence per dollar. The price spread is 114× — but value tells a very different story.
Open-Source LLM Leaderboard 2026: Hardware Needed to Run Each Top Model
Top open-source LLMs in 2026 ranked by capability + the exact hardware you need to run each locally. Llama 3 405B, Qwen 2.5 72B, DeepSeek V3, Mistral Large 2.
VRAM Requirements for Every Major LLM in 2026 (Quantization Cheat Sheet)
The complete VRAM cheat sheet for every major open LLM in 2026 — at every common quantization level — plus a matrix showing which models fit on 12, 16, 24, 32, 48, and 80 GB GPUs.
