Sequoia Capital surveys how large language models enable machines to write, code, draw, and create.
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The Rise of Generative AI Large Language Models (LLMs)
An interactive chart tracks the rise of large language models such as ChatGPT, Bing Chat, LaMDA, LLaMA, and PaLM.
About The Rise of Generative AI Large Language Models (LLMs)
This web page presents an interactive chart that ranks major large language models (LLMs), including ChatGPT, Bing Chat, LaMDA, LLaMA, and PaLM, by performance on the MMLU benchmark (Massive Multitask Language Understanding). The data comes from Life Architect, and the page notes that MMLU has been criticized because model creators may pre-train their models on MMLU questions. Specialized maths and coding models are excluded from the chart.
The page also includes a second visualization of selected copyright lawsuits filed against AI companies, with a count of 100 or more filed as of June 2026. Most of these cases are copyright claims brought by authors, record labels, publishers, newsrooms, and others. The page reports that Anthropic settled one case, brought by three authors, in April 2026 for $1.5 billion. Most other cases had not been decided when the page was updated.
Key features
- Ranks major large language models by MMLU benchmark performance
- Explains the MMLU benchmark of 16,000 multiple-choice questions across 57 subjects
- Shows counts of copyright lawsuits filed against each AI company as of June 2026
- Summarizes selected copyright cases, including the Bartz vs Anthropic settlement
- Links to other AI model leaderboards, including LLMArena and an Intel leaderboard
- Maintains a dated changelog of models added from December 2024 onward
Best for: Readers who want a visual overview of major large language models and the copyright disputes around them, such as students, researchers, and journalists.
Good for
- Cites its data sources, including Life Architect, Wired, and news reports
- States its limitations, such as criticism of the MMLU metric and excluded model types
- Points to other leaderboards and case trackers for further detail
Watch out for
- MMLU results may not reflect real performance if models were pre-trained on the test questions
- Specialized maths and coding models are excluded from the ranking
- LLMArena favors English-language models, and the page notes that it lists no Chinese models
The Rise of Generative AI Large Language Models (LLMs) at a glance
- Official website
- informationisbeautiful.net/visualizations/the-…
- Category
- Search & Reference › Articles & Essays
- Type
- Publication
- Platforms
- Web
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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The Rise of Generative AI Large Language Models (LLMs) FAQ
What does the MMLU benchmark measure?
The page describes MMLU as 16,000 multiple-choice questions across 57 academic subjects, used to evaluate the capabilities of large language models.
Are specialized coding or maths models included in the chart?
No. The page states that specialized maths and coding LLMs, such as DeepSeek Coder and Mathstral, were excluded.
Which company has the most lawsuits listed?
As of June 2026, the page lists OpenAI with 24 lawsuits, followed by Meta with 14 and Microsoft with 10.
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