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Qwen3.8 27B English word addition benchmark

What happened

AI digest

On 5 October 2026, Simon Willison published a benchmark using 5,070 cases with reasoning disabled to test whether the local Qwen3.8-27B-Q4_K_M.gguf model could add positive integers written as English words and output exact results. It reports a numerical accuracy of 23.57% and a format compliance rate of 96.17%; accuracy fell from 97.04% for one- to three-digit numbers to 6.44% for ten- to thirteen-digit numbers as digit count increased; with medium reasoning enabled, it answered 167 of 169 paired tests correctly.

Written by AI from the reports · updated 11 d ago

Timeline

Follow the reports to see the event from each side.

Oct 5
  1. Simon Willison
    Qwen3.8 27B addition in words

    Research: Qwen3.8 27B addition in words Colin Frasier posted on Bluesky about an experiment he ran over two years ago using GPT-4o to see how well it could "compute the sum but return the answer in words" across increasingly large numbers.