Cell

simple_glm-5.3-flash_basic_order_aware

GLM-5.3-Flash on the simple floor, 5 episodes. Not cited by the thesis (development or earlier run).

Outcome
Wins (boss defeated, alive)5/5 [0.57, 1.00]
Final HP / exact optimum, mean over wins15%
Died0
Final HP, mean2
Seconds per model call78.5
Parse error rate1.2%
Settings
FloorSimple floor
ModelGLM-5.3-Flash (glm-5.3-flash, thinking)
Planningreactive
Promptengine-default-floor-basic
Temperature0
Lookahead depth3
Mechanical overrideson (logged per turn)
Engine settings (environment, 1)
THINKING_MAX_TOKENS=32768
Episodesopen one to replay it turn by turn
#outcomefinal HPHP / optstepsmodel callsreplay
1won215%3617replay
2won215%3617replay
3won215%3617replay
4won215%3617replay
5won215%3617replay
Re-run this cell

In a checkout of mt-ai-lab with an API key set (the result goes to a new file rerun_<time>_simple_glm-5.3-flash_basic_order_aware, never over the thesis result):

python scripts/run_catalog.py --codes B9

Result file: results/reliability/simple_glm-5.3-flash_basic_order_aware.json · updated 2026-09-25