Large language model coverage: specifications, context windows, API pricing and benchmark results for frontier and open-weight models, updated as they ship.
As of June 19, 2026, GPT-5.6 has no model card, benchmarks, or pricing from OpenAI. We separate the confirmed record from the loud leaks (1.5M context, Mini/Pro variants, a ‘meaningful improvement’ quote) and show how a hypothetical GPT-5.6 would land against Claude Fable 5, Gemini 3.5, and the open-weight wave from China.
Zhipu’s GLM 5.2 pairs a 1-million-token context with MIT-licensed open weights and a drop-in Anthropic-compatible API. Here are the confirmed specs, the benchmarks that landed with the weights, real access and self-hosting costs, and who should actually use it.
Ollama is the headless runtime developers wire into everything; Jan is the open-source desktop app that puts a ChatGPT-style UI and MCP tools in front of local models. Here’s how they actually stack up in mid-2026.
A practical, zero-to-running guide to LM Studio in 2026: setup on every OS, choosing models and quantization, the built-in OpenAI-compatible server, and the hardware you actually need.
Searching for ‘Claude 5’? The model you mean is Claude Fable 5 — Anthropic’s first Mythos-class release, shipped June 9. Here’s what it is, plus every other major model of June 2026.
Ollama turned running a local LLM from a weekend project into a single command. Here’s exactly what it is, how it works under the hood, and why it became the default in 2026.
Four tools, four jobs. Ollama and LM Studio are experience layers, llama.cpp is the engine, and vLLM is a production server. Here’s exactly which one to pick — and when.
The number-one reason a model fails to run isn’t a bug — it’s memory. Here’s exactly how much RAM and VRAM each Ollama model size needs, and a formula to know before you download.
Installing Ollama takes about two minutes on any OS. Here are the exact steps for Mac, Windows, and Linux, plus how to run your first model and fix the errors people actually hit.
Ollama can run 100+ models, but you only need a handful. Here are the best local LLMs in 2026 ranked by what you’re actually trying to do — and the VRAM each one needs.
A local coding model means your code never leaves your machine. Here are the best ones in 2026 — ranked by SWE-bench, hardware needs, and how they handle real refactors.
Should you build on an open model like Llama or a closed API like GPT? This guide compares open and closed LLMs on the things that actually decide the choice.
