Question 1

What is a large language model (LLM)?

Accepted Answer

A large language model is a type of AI trained on vast amounts of text data to understand and generate human language. LLMs like GPT-5, Claude, and Gemini can write, summarise, translate, answer questions, and reason across a wide range of tasks.

Question 2

What are the best LLMs available in 2026?

Accepted Answer

The leading LLMs in 2026 include GPT-5 (OpenAI), Claude Opus 4 (Anthropic), Gemini 2.5 Pro (Google), Llama 4 (Meta), and Qwen 3 (Alibaba). The best choice depends on your use case — GPT-5 excels at instruction following, Claude at long-form analysis, and open-source models like Llama 4 at self-hosted deployments.

Question 3

Are large language models free to use?

Accepted Answer

Many LLMs offer free tiers. ChatGPT, Claude.ai, and Gemini all have free plans with usage limits. For API access or higher usage, paid plans are required. Open-source models like Llama 4 and Mistral can be run for free on your own hardware.

Question 4

What is a context window in an LLM?

Accepted Answer

The context window is the maximum amount of text (measured in tokens) an LLM can process in a single interaction. Larger context windows let you feed in longer documents, codebases, or conversation histories. In 2026, context windows range from 8K tokens (smaller models) to over 1 million tokens (Gemini 2.5 Pro).

Question 5

What is the difference between open-source and closed-source LLMs?

Accepted Answer

Open-source LLMs (like Llama 4, Mistral, and Qwen) publish their model weights publicly, allowing anyone to download, run, and fine-tune them. Closed-source LLMs (like GPT-5 and Claude) are proprietary — you access them via API but cannot inspect or modify the underlying model.

Large Language Models

Frequently Asked Questions

Large Language Models

Frequently Asked Questions