Extremely unscientific benchmark on local models 2026-11-13

2026-11-13 07:11:46 - No Comments

Local model benchmark — harness: opencode 1.18.16

This is the 236-task round: one pass each, same 300s exec timeout, 3-repair budget. Two effects show up at this scale that the 99-task run hid.The timeout is a first-class competitor. All three dense 27B rows average ~4½ minutes of generation — right against the 5-minute wall — at under 2 tok/s. On hard tasks they hit the cap and lose runs they'd win with time. The MoE rows finish in 25–82s and never see the ceiling.But speed alone doesn't buy it. MiniCPM-V-4.7 is second-fastest here and near the bottom (19.5%). LFM2.5 is fastest (93 tok/s) and worst (18.2%). What carries the table is active capacity: qwen3.6:35b tops it at 59.7% without ever touching the timeout.

Arete-27B vs its base. 86/236 against qwen3.8:27b's 101/236 — 15 tasks below the model it was built from. At one repeat, binomial noise at this pass rate is ±7–8 tasks per model, so a 15-task gap is roughly 1.4× the error of the difference: suggestive, not conclusive.

Avg repairs 0.00 across the board, which means every failure is a first-try failure — a capability gap or a timeout, not a repair loop. And treat the tok/s column with the same skepticism as everything above.

Model Pass rate First-try validity Avg repairs Avg generation Avg execution Tokens/sec
hf.co/bartowski/NousResearch_Arete-27B-GGUF:Q4_K_M 86/236 (36.4%) 100.0% 0.00 4m 37s 3.21 s 1.0
hf.co/openbmb/MiniCPM-V-4.7-35B-A3B-gguf:Q4_K_M 46/236 (19.5%) 100.0% 0.00 24.93 s 14.09 s 50.7
lfm2.5:24b 43/236 (18.2%) 100.0% 0.00 77.81 s 151 ms 93.1
qwen3.6:27b 94/236 (39.8%) 100.0% 0.00 4m 39s 183 ms 0.7
qwen3.6:35b 141/236 (59.7%) 99.5% 0.00 81.75 s 2.71 s 35.9
qwen3.8:27b 101/236 (42.8%) 100.0% 0.00 4m 30s 7.28 s 1.5

Run dates 2026-11-10 to 2026-11-12 · repeats 1 · exec timeout 300 s · repair budget 3 · prompt 1.0.0

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