OverviewCompare › qwq:32b vs GPT-5.5 (Codex)
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qwq:32b vs GPT-5.5 (Codex)

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. Frontier references sit outside the blind field and are deliberately unscored on text.

ModelRunnable simsBlind text avgFailure modes
qwq:32b 8% (7/85)9.10 (20 scored)ERR 4 · STAT 42 · BLANK 16 · DNF 16
GPT-5.5 (Codex) frontier reference 95% (81/85)unscored by designERR 2 · STAT 1 · BLANK 1

Biggest contrasts

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

Roundqwq:32bGPT-5.5 (Codex)
R155 · Linked list with animated pointer relinkingDNFOK
R154 · Ring buffer with producer and consumer at different ratesSTATOK
R152 · Hash table with visible collision chainsBLANKOK
R151 · Binary search tree growing node by nodeDNFOK
R140 · Water sloshing in a tilting containerDNFOK

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Generated 2026-07-31 from the published rounds. Harness failures are excluded from every base — a broken cluster node is our fault, not the model's.