AI Models
Dated comparisons to help choose models, APIs, local inference setups, and coding agents.
Dated comparisons to help choose models, APIs, local inference setups, and coding agents.
What public benchmarks can tell us about coding agents, what each major tool is good at, and how to run a useful personal comparison.
A reproducible protocol for measuring whether one exact local model configuration clears a real workflow threshold.
A dated comparison of genuinely free coding-CLI access, subscription-included usage, API billing, and temporary promotions, with a focused verdict on Grok Build.
Choose a local runtime by artifact compatibility, hardware path, latency, throughput, observability, and security.
A dated candidate set for local coding that separates model-card facts from deployment and workflow hypotheses.
Choose the model tier by task, then combine a small set of still-usable free APIs when a prototype must cost nothing.
A memory-first method for deciding which local model configuration may fit and remain useful on one consumer GPU.