What does this quiz test?

Each round describes an AI model by its distinguishing features — the company that built it, its approximate release timing, its context window, and notable capabilities — and asks you to pick which model it is. It is a fun way to check how well you know the current LLM landscape from GPT-4o to open-source models like Llama 3 and Mistral.

Do I need to be technical to play?

No. The clues use plain descriptions like 'made by Anthropic, known for a 200K context window and strong long-document reasoning.' If you follow AI news casually you will recognise many; the explanations after each answer fill in the gaps, so you learn as you go.

How is my score calculated?

You earn one point for each correct identification. At the end you see your total out of the number of rounds and a percentage, with a short verdict on how well you know the model landscape. You can retake the quiz to improve your score.

Is the model information kept up to date?

The quiz reflects the major models and their headline specs as widely reported for the 2024 generation. AI moves fast, so newer releases may not appear yet, and exact figures like context windows can change with provider updates. Use it as a knowledge check rather than a current spec sheet.

AI Model Knowledge Quiz: Name That Model from Its Features

Test your AI model knowledge

The AI model landscape changes fast, and keeping the players straight — who made what, how big its context window is, and what it is best at — is a useful skill for anyone choosing tools or following the field. This quiz turns that knowledge into a game: each round gives you a set of features and asks you to name the model.

How it works

Every round presents a short profile: the company behind the model, roughly when it was released, its context window, and a couple of capabilities it is known for. You pick the model that fits. The quiz tells you immediately whether you were right and explains the distinguishing facts, so you learn the differences between GPT-4o, Claude 3.5, Gemini 1.5, Llama 3, Mistral, and others even if you guess wrong.

Tips for a high score

Focus on the standout clue in each profile. Context window size is often the giveaway — Gemini’s million-token window and Claude’s 200K window are distinctive. Company is another strong signal: Anthropic builds Claude, OpenAI builds GPT and the o-series, Google builds Gemini, Meta builds Llama, and Mistral builds the open-weight Mistral and Mixtral models. When two options seem close, let the capability description break the tie, then read the explanation to lock the detail into memory for next time.