Towards AITowards AIToneBench

GLM-5.3 vs Grok 4.7

Should you write with GLM-5.3 or Grok 4.7? 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 four judges (three LLM judges from three model families plus Jev, a typed judge from TypeSafe) scored every draft blind, with my finished script as the reference. GLM-5.3 leads overall, 88.5 to 87.6.

GLM-5.3
#12 Elo 2253 · 88.5/100
Grok 4.7
#32 Elo 2143 · 87.6/100
Cost / script
$0.114 vs $0.267

The verdict

GLM-5.3 is #12 and Grok 4.7 is #32, and their Elo intervals don't overlap, which is strong evidence for that order. It comes almost entirely from Length Adherence: GLM leads there by about nineteen points, while the other metrics sit within about two points, except Visual Cue Quality, where Grok leads by about four. GLM is also cheaper, about eleven cents a script against twenty-seven, a bit faster, and open weights.

Pick GLM-5.3 for on-length scripts with open weights at under half the price.
Pick Grok 4.7 when visual cues are the priority and you'll trim the 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.

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-5.3, orange is Grok 4.7, 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, Length Adherence does the most to put GLM-5.3 ahead: it leads there by 19.0 points. If you care about one thing, say voice or length, go straight to that row.

Tone & Voice Match19% weight
89.3
90.4
Writing Craft & Clarity13% weight
89.2
89.3
Substance, Accuracy & Value15% weight
87.3
88.8
Continuity & Emotion14% weight
87.3
87.6
YouTube Best Practices12% weight
88.3
88.2
Hook Strength10% weight
88.7
88.4
Length Adherence8% weight
90.4
71.4
Slop Score (EQ-Bench + ours)5% weight
90.7
92.4
Visual Cue Quality4% weight
83.5
87.7

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. GLM-5.3 is ahead and it's also the cheaper one: Grok 4.7 costs about 2.3x as much per script.

GLM-5.3Grok 4.7
Overall / 10088.587.6
Writing Elo22532143
Score spread across drafts (± overall std)1.4602.490
Cost per script (USD)0.1140.267
Avg time per script (min)5.27.7
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-5.3 · Grok 4.7. The whole scoring pipeline is on the methodology page.

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