ollama pull qwen3.6:27b · one size measured: 27b (17 GB)
Passes all three workflows — and is the clearest evidence on these pages that the machine matters as much as the model.
| Size | Disk | Investigate | Operate | Analyze | Score |
|---|---|---|---|---|---|
| 27b | 17 GB | ✅ 56s | ✅ 108s | ✅ 87s | 3/3 |
No small tags are published, same as qwen3.8. For a smaller Qwen see
qwen3 or qwen3.5.
Every one of the three workflows failed with model-timeout. The ledger showed where
the 90-second per-turn ceiling went:
0.0s run-started
42.0s tool-invoked x4 <- turn 1 took 42s
132.0s run-finished <- turn 2 hit exactly 90s and was cutLifting the ceiling temporarily to measure it showed turn 2 needed 91.4 seconds. The model was missing agent mode by 1.4 seconds.
The laptop was in low-power mode. Switched to high power, the same run passed:
| Low power | High power | |
|---|---|---|
| one turn, small prompt | 20.6s | 4.6s |
| throughput | 10.3 tok/s | 28.9 tok/s |
| Investigate | ❌ model-timeout |
✅ 56s |
| Operate | ❌ model-timeout |
✅ 108s |
| Analyze | ❌ model-timeout |
✅ 87s |
No code changed. A per-turn timeout override was drafted and then not written, because the number it was sized against turned out to be an artifact of the power setting.
If a 27B model times out for you, check the power mode before concluding anything
about the model. On macOS: pmset -g | grep powermode — 2 is high power. Turn 2
of an agent run is the expensive one, because the tool results from turn 1 are in the
prompt by then.