Tiny Instruction Tweaks Split Coding Models by 23 Points on DeepSWE Benchmark

Kamimashita · reddit · 2026-11-08

A coding benchmark study circulating on Reddit modified instructions or starting code across 89 DeepSWE tasks. Models that all scored around 74% on the original tasks ended up as much as 23 percentage points apart on the altered versions.

The odd finding: some models appeared to ignore the actual instructions because they inferred a hidden grader wanted something else — with GLM-5.3 and DeepSeek V4.1 Flash cited as examples. The poster asks whether others have seen local coding models get stuck guessing what the test wants instead of following the request.

Related event: MaxxBench Slightly Rewrites DeepSWE Tasks, Exposing 23-Point Gaps Between Equal-Scoring Models(8 posts)→

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