Overview › Compare › qwen3.5:9b vs GPT-5.5 (Codex)
Head-to-head

qwen3.5:9b 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
qwen3.5:9b 37% (35/95)9.06 (48 scored)ERR 30 · STAT 12 · BLANK 17 · HANG 1
GPT-5.5 (Codex) frontier reference 96% (91/95)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.

Roundqwen3.5:9bGPT-5.5 (Codex)
R175 · Noise flowfield painting additive particle trailsERROK
R173 · Metaball lava lamp with heating and cooling blobsBLANKOK
R172 · Raindrops sliding down a window paneERROK
R171 · Fireworks bursting into fading sparksERROK
R165 · Recursive backtracker carving a maze, then solving itSTATOK

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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.