Turning GLM-5.3-Flash into a Jev-like decision model

Automated excerpt

Compared across the 28 text datasets, GLM-5. 3-Flash and Jev are on par. Extra input tokens GLM-5. 3-Flash sends per question, compared with JevBelow zero GLM-5. 3-Flash sends fewer tokens, above zero more. -2000+200+400+600+800020406080100options per question↑ GLM-5. 3-Flash sends more↓ GLM-5. 3-Flash sends fewerbreak-even at ~21 optionssst2, 2 options: 127 vs 317 tokens (-190)ledgar, 100 options: 2,040 vs 1,207 tokens (+833)Hover or tap a mark for its numbers. One point per dataset: how many input tokens GLM-5. 3-Flash on Privatemode sends per question, minus how many Jev sends for the same question.

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