A team of five Qwen3.8-27B models, named Memdoor, outperformed the Fable 5 model on the LiveCodeBench Hard benchmark.

Hacker News, r/LocalLLaMA · AI & Technology

1 Nov 2026

What it means

is a system that orchestrates a team of five language models to solve hard coding problems. On the benchmark, this team approach achieved an average score of 9.8 out of 10 across five runs on the first ten problems, outperforming (which scored 8.0 on a single call) and the authors' own baseline (9.6). This demonstrates that coordinating multiple smaller model instances can surpass a single larger model on complex code generation tasks.

Accuracy & sourcesSourced

The claim comes directly from the official Memdoor release (a primary source), which includes benchmark results on LiveCodeBench Hard. While the results are self-reported and have not yet been independently replicated, the comparison to Fable 5 is explicitly provided in the release, making the claim credible within the context of the paper.

How new

This is a genuinely new development, with the Memdoor release and associated discussion appearing on Hacker News and other platforms within the last two days.

A team of five Qwen3.8-27B models, named Memdoor, outperformed the Fable 5 model on the LiveCodeBench Hard benchmark.

What it means

Accuracy & sourcesSourced

How new

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