Head-to-head
llama3.1:8b 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.
| Model | Runnable sims | Blind text avg | Failure modes |
|---|---|---|---|
| llama3.1:8b | 13% (11/85) | 6.58 (31 scored) | ERR 40 · STAT 17 · BLANK 9 · HANG 3 · DNF 5 |
| mistral-small:24b | 33% (28/85) | 8.65 (31 scored) | ERR 26 · STAT 11 · BLANK 9 · HANG 3 · DNF 8 |
Biggest contrasts
Rounds where the two models diverged most — open them and read both answers side by side.
| Round | llama3.1:8b | mistral-small:24b |
|---|---|---|
| R155 · Linked list with animated pointer relinking | ERR | OK |
| R154 · Ring buffer with producer and consumer at different rates | STAT | OK |
| R140 · Water sloshing in a tilting container | OK | ERR |
| R139 · Small n-body system orbiting a central star | BLANK | OK |
| R138 · Two-source wave interference pattern | STAT | OK |
→ Interactive round-by-round comparison · → Full leaderboard
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.