Overview › Compare › llama3.1:8b vs GPT-5.5 (Codex)
Head-to-head

llama3.1:8b 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
llama3.1:8b 13% (12/95)6.66 (38 scored)ERR 47 · STAT 19 · BLANK 9 · HANG 3 · DNF 5
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.

Roundllama3.1:8bGPT-5.5 (Codex)
R174 · Recursive fractal tree growing branch by branchSTATOK
R173 · Metaball lava lamp with heating and cooling blobsERROK
R172 · Raindrops sliding down a window paneSTATOK
R171 · Fireworks bursting into fading sparksERROK
R165 · Recursive backtracker carving a maze, then solving itERROK

→ Interactive round-by-round comparison · → Full leaderboard

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.