Claude Opus 5 (max) vs GPT-5.6 Sol (ultra)
Should you write with Claude Opus 5 (max) or GPT-5.6 Sol (ultra)? 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. Claude Opus 5 (max) leads overall, 89.4 to 88.0. Heads-up: Claude Opus 5 (max) and GPT-5.6 Sol (ultra) both share a model line with one of the judges. The panel spans three model families, so no model here is scored by its own family alone (how the panel works).
The verdict
Max effort usually means paying more, but here Claude Opus 5 (max effort) is the cheaper one, by about seven cents per script, and it's faster too. It also ranks higher, #8 against #25. GPT-5.6 Sol (ultra) does win four metrics: Visual Cue Quality and Length Adherence clearly, the Slop Score, and Substance, Accuracy & Value by a hair. Opus leads on the opening and the flow, about three points ahead on both Hook Strength and Continuity & Emotion. Cheaper, faster, and ahead on most of the heavier metrics, so Opus is my pick.
Pick Claude Opus 5 (max effort) for a stronger hook and flow at a lower price and faster turnaround.
Pick GPT-5.6 Sol (ultra) when visual cues and tight length are what you need most.
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 Claude Opus 5 (max), orange is GPT-5.6 Sol (ultra), 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 Claude Opus 5 (max) ahead: it leads there by 3.4 points. If you care about one thing, say voice or length, go straight to that row.
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. Claude Opus 5 (max) is ahead and it's also the cheaper one: GPT-5.6 Sol (ultra) costs about 1.2x as much per script.
| Claude Opus 5 (max) | GPT-5.6 Sol (ultra) | |
|---|---|---|
| Overall / 100 | 89.4 | 88.0 |
| Writing Elo | 2354 | 2187 |
| Score spread across drafts (± overall std) | 1.190 | 1.230 |
| Cost per script (USD) | 0.293 | 0.363 |
| Avg time per script (min) | 2.2 | 3.3 |
| Open weights | No | No |
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: Claude Opus 5 (max) · GPT-5.6 Sol (ultra). The whole scoring pipeline is on the methodology page.
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