Large Language Model
Also: LLM
The technology behind AI tools like Claude, ChatGPT, and Gemini. An LLM is a type of AI trained on enormous amounts of text — books, websites, articles, code — until it learned to read, write, summarize, answer questions, and hold conversations. The 'large' refers to the scale of training and the model's internal complexity, not something you interact with directly. When people say 'AI,' they usually mean an LLM.
In practice
When you type a message to Claude and it writes back a coherent, relevant response — that's a large language model at work. It's software trained on enormous amounts of text until it learned to read, write, reason, and converse. The "large" refers to scale of training, not something you see directly. Claude, GPT-4, and Gemini are all LLMs.
Related concepts
Where Large Language Model shows up
10 articlesOpus 4.7 has five API breaking changes that will return 400 errors on existing code. Here's each one, the fix, and the full migration checklist. Also: Sonnet 4 and Opus 4 retire June 15, 2026.
On June 12, 2026, every Claude Fable 5 and Mythos 5 API call started failing — three days after the model launched. A US government directive disabled both models worldwide in hours. If your app had no fallback, it was just down. Here's how model loss happens, and how to build so it doesn't take you with it.
You've heard about AI. You've maybe tried it once, got something weird, and closed the tab. This is the honest version of what it is, why most people's first attempts disappoint them, and what to actually do.
Anthropic's flagship model gets a significant upgrade — better software engineering, 3.75-megapixel vision, and a new xhigh effort level. Pricing is unchanged. There are API breaking changes versus Opus 4.6.
A large language model is what Claude is at its core — and understanding how it works changes how you think about everything else in AI.
Anthropic's new tool lets you create prototypes, slide decks, one-pagers, and full design systems by describing what you want. Output is exportable as PDF, URL, or PPTX and can connect to your existing design files. Available in research preview for Pro, Max, Team, and Enterprise.
Anthropic's new flagship launched May 28, 2026. Pricing is unchanged at $5/$25. Effort now defaults to high, fast mode is 3x cheaper, and a 1M context window ships by default. Unlike the 4.6→4.7 jump, there are no new breaking changes — moving from Opus 4.7 is a model-name swap.
Claude Fable 5 is Anthropic's most capable widely released model — $10/$50 per million tokens, a 1M-token context window, always-on adaptive thinking, and the first Claude model that can decline a request mid-API-call. It was suspended for three weeks by a US export-control directive and restored on July 1, 2026. Here's what the model does, what the refusal behaviour means for your code, and when it's worth double the price of Opus 5.
Claude Sonnet 5 launched June 30, 2026 and is now the default model on Free and Pro. It runs at introductory pricing of $2/$10 per million tokens through August 31, then goes to $3/$15. Three things break when you migrate from Sonnet 4.6, and a new tokenizer means the same text costs about 30% more tokens.
Anthropic launched Claude Opus 5 on July 24, 2026 at $5/$25 per million tokens — the same price as Opus 4.8. Thinking is now on by default, the effort parameter is the main control you tune, and there is exactly one breaking change: disabling thinking at xhigh or max effort returns a 400. Here's what changed and what to do about it.