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GLM-5 vs Qwen3.7 Max (default)

Should you write with GLM-5 or Qwen3.7 Max (default)? On this page the only thing that changes is the model. Both wrote their own version of the scripts behind 10 of my What's AI videos, five drafts per script, and three judges from three model families scored every draft blind, with my finished script as the reference. GLM-5 leads overall, 82.8 to 80.9.

GLM-5
#66 Elo 1692 · 82.8/100
Qwen3.7 Max (default)
#85 Elo 1546 · 80.9/100
Cost / script
$0.050 vs $0.056
Human baseline
90.9 GLM-5 falls below it · Qwen3.7 Max (default) falls below it

The verdict

GLM-5 is the one I'd pick for scripts. It sits nineteen spots higher (#66 against #85) and leads by three to four points on Substance, Accuracy & Value and Tone & Voice Match, the two metrics that carry the most weight in the overall. Price won't decide it: $0.050 per script against $0.056. Qwen3.7 Max (default) is quicker and lands closer to the target length, about five points ahead on Length Adherence, so if length keeps missing with GLM-5, that's the trade to weigh. GLM-5 also gives you open weights; Qwen3.7 Max (default) doesn't.

Pick GLM-5 for more substance and a closer voice at the same price, with open weights.
Pick Qwen3.7 Max (default) when you need quicker scripts that land closer to the target length.

How to read these numbers

Overall vs Elo. Overall is the weighted rubric score. Elo compares each model's five-draft average with every other model's, script by script, and counts gaps inside run-to-run noise as draws, so it rewards winning often and can disagree with overall. My own scripts score 90.9 on the same rubric, not a literal 100. Right now 2 of 167 ranked configurations reach it. A model above that line writes at that level on this rubric. That's not the same as beating my script line for line.

Reading the Elo intervals. Each 95% range comes from resampling every model's recorded run scores on each task and re-ranking. Comparing these separate ranges does not test the Elo gap between two models: far apart is strong evidence, and overlap isn't a tie. The tasks stay fixed, so the ranges say nothing about new tasks (the long version).

Metric by metric: where the gap comes from

Blue is GLM-5, orange is Qwen3.7 Max (default), and the solid bar takes the metric. The weight under each name is how much it counts toward the overall. Weighted by how much each metric counts, Tone & Voice Match does the most to put GLM-5 ahead: it leads there by 3.7 points. If you care about one thing, say voice or length, go straight to that row.

Tone & Voice Match19% weight
83.2
79.5
Writing Craft & Clarity13% weight
83.7
80.9
Substance, Accuracy & Value15% weight
83.4
80.0
Continuity & Emotion14% weight
80.2
79.4
YouTube Best Practices12% weight
83.1
80.4
Hook Strength10% weight
85.6
84.2
Length Adherence8% weight
78.5
83.4
Slop Score (EQ-Bench + ours)5% weight
87.6
86.2
Visual Cue Quality4% weight
79.8
78.2

Cost, speed, and consistency

Quality is half the decision. The other half is what each script costs you, how long you wait, and how often you get a bad draft. They cost about the same per script.

GLM-5Qwen3.7 Max (default)
Overall / 10082.880.9
Writing Elo16921546
Score spread across drafts (± overall std)2.4002.310
Cost per script (USD)0.0500.056
Avg time per script (min)3.11.8
Open weightsYesNo

Green wins the row, and for spread, cost and time, lower wins. Cost is one script at recorded list prices, uncached and without judging, so your real bill will differ. Spread is how much the overall score moves across a model's drafts, and time is the average time to get one accepted script, retries included.

Want the script-by-script detail? Full scorecards: GLM-5 · Qwen3.7 Max (default). The whole scoring pipeline is on the methodology page.

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