
How We Rank AI Models Without Publishing a Score
We publish vendor prices, context windows and licences for 21 AI models, plus four labelled picks. Here is the method, the limits and what we refuse to invent.
Tag
7 posts

We publish vendor prices, context windows and licences for 21 AI models, plus four labelled picks. Here is the method, the limits and what we refuse to invent.

News13 min
Kimi K3 is the first open 3T-class model. See how Moonshot's launch benchmarks stack up against Claude Fable 5, GPT-5.6 Sol, Grok 4.5, and Gemini in 2026.
Z.ai's GLM-5.2 is a 753B-parameter, MIT-licensed open-weight model with a usable 1M-token context. See its coding benchmarks, pricing, and how to run it.
MiniMax M3 is an open-weight, 1M-context AI coding model with native multimodality and Sparse Attention. What its benchmarks, pricing, and license really mean.
AI & Machine Learning12 min
Nex-N2-Pro is a free, open-weight 397B MoE coding model from Nex AGI, built on Qwen3.5. We check its benchmarks against GPT-5.5, Opus, and rival open models.
AI & Machine Learning13 min
MiniMax M3 is an open-weight coding model whose Sparse Attention runs 1M-token context at 1/20th the compute. Its benchmarks beat GPT-5.5 — with caveats.
AI & Machine Learning11 min
GLM-5.1 (April 2026): Z.ai's 754B open-weight model scored 58.4% on SWE-bench Pro, beating GPT-5.4 and Claude Opus 4.6 on real coding benchmarks.