Le Chaton Fat
A new LLM benchmark score that has AI Twitter buzzing with disbelief and humor.
Hot score
Tracking since 2026-06-17. Saturation 18%.
What is Le Chaton Fat?
Le Chaton Fat is a language model that reportedly achieved a 90.6% score on the MMLU-Pro benchmark, a result that has sparked intense discussion and skepticism on AI Twitter. The name, French for 'the fat cat,' appears to be a playful alias, possibly for a new or unreleased model. The high score, if verified, would place it among the top-performing models on this challenging benchmark, which tests knowledge across 57 subjects. However, the evidence is currently limited to a single viral post on X (formerly Twitter), and no official documentation, model card, or API has been released. The community reaction suggests a mix of amusement and doubt, with many questioning the legitimacy of the result. Based on community signals so far, Le Chaton Fat may be a hoax, a leaked internal model, or a benchmark overfit. Until more concrete evidence emerges—such as a paper, model release, or independent verification—its true nature remains uncertain. This term is trending due to the viral nature of the claim and the strong reactions it has provoked.
Why it's trending
A single X post claiming a 90.6% MMLU-Pro score went viral, causing widespread discussion and skepticism in the AI community.
How to use this signal
Three ways a creator, builder, or agent can put Le Chaton Fat to work today. Each comes with a copy-paste prompt for ChatGPT or Claude.
Benchmark against your current model
Write a hands-on review
Test as drop-in replacement
Key features
- Reported 90.6% on MMLU-Pro benchmark
- Name translates to 'the fat cat'
- No official release or documentation yet
- Viral on AI Twitter with mixed reactions
- Possibly a hoax or leaked model
Who should use this
AI researchers and enthusiasts tracking benchmark drama and viral claims. Not recommended for production use until verified.
Where it's surfacing
Source trail
1 source attached to this trend.
Trend velocity
rising
Saturation
18%
Schema
Word v1
Track tomorrow's trend signals before they settle.
The daily feed, API, and MCP endpoint all read the same schema.