Overview › Compare › gemma4:26b vs mistral-small:24b
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gemma4:26b vs mistral-small:24b

Both models answered the same one-shot tasks under identical rules — no retries, answers published unedited. Two separate axes, never blended: does the code actually run, and how do blind-scored text answers hold up against a written gold answer.

ModelRunnable simsBlind text avgFailure modes
gemma4:26b 0% (0/2)9.67 (36 scored)ERR 1 · BLANK 1
mistral-small:24b 32% (30/95)8.26 (38 scored)ERR 29 · STAT 12 · BLANK 9 · HANG 7 · DNF 8

Biggest contrasts

Rounds where the two models diverged most — open them and read both answers side by side.

Roundgemma4:26bmistral-small:24b
R168 · Extract action items as a checklist★10★1
R36 · Continue the sequence (doubling gaps)★10★2
R134 · Smallest number from three remainders★10★3
R160 · Critique a generic slogan in 2 sentences + give 2 better alternatives★10★4
R148 · Table QA: sum, filter, max over order data★10★4

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Generated 2026-08-04 from the published rounds. Harness failures are excluded from every base — a broken cluster node is our fault, not the model's.