← Tuesday, October 6, 2026Models & trainingBenchmark
Qwen3.8 27B answers 167 of 169 worded addition prompts with reasoning enabled
On a DGX Spark, a Q4_K_M Qwen3.8-27B run with reasoning enabled got 167 of 169 addition prompts right; the one-shot test used one sample per prompt combination. It’s a useful, if narrow, example of evaluating local model arithmetic and the effect of reasoning.
- What
- A test measured whether Qwen3.8-27B could add positive integers and express exact sums solely in English words.
- How
- With reasoning enabled, it answered 167 of 169 paired prompts correctly; without reasoning, numeric accuracy was 23.57% across 5,070 cases.
- Why it matters
- The results show why model evaluations should test both reasoning settings and task difficulty, including large-number arithmetic.
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