Model Comparison
GPT-6.1 Sol (max) leads Muse Wonder (max) by 199 Elo, and their 95% ranges sit 127 Elo apart. Among 80 models, each ranked by its best configuration, GPT-6.1 Sol is #8 and Muse Wonder is #16. Cost per script: $0.239 for GPT-6.1 Sol (max) and $0.309 for Muse Wonder (max).
Last updated , from board data generated at 20:08 UTC.
PickGPT-6.1 Sol
GPT-6.1 Sol (low)
Pick GPT-6.1 Sol (low) for volume, since at $0.052 and 1.5 minutes it ranks 79 Elo above Muse's best with separate ranges, at about a sixth of the price.
PickMuse Wonder
Muse Wonder (max)
Pick Muse Wonder (max) if Continuity & Emotion is the metric you watch, since its 81.5 beats every GPT-6.1 Sol setting, at $0.309 a script.
GPT-6.1 Sol rates above Muse Wonder at every setting, though not always by a margin the board can confirm. GPT-6.1 Sol (max) leads Muse Wonder (max) by 199 Elo with 95% ranges 127 apart, the #8 model of 80 against the #16 model, and costs less, $0.239 against $0.309. The catch is time: 10.2 minutes a script, where Muse is done in 2.0. GPT-6.1 Sol (low), at $0.052 and 1.5 minutes, rates 79 Elo above Muse at max for about a sixth of the price, and their ranges just clear each other, by 8 Elo. Sol's high and medium don't: they sit 37 and 19 Elo up, and the board can't separate either from Muse's best. At high, the level name they share below max, Sol leads by 378 Elo with separate ranges. Muse's high and adaptive settings fall far behind its max, mostly on Length Adherence. Between the two max settings, Sol hits the length 15.5 points better and has cleaner slop and visual cues, by more than four points each. Muse keeps continuity, 2.3 points ahead, and a small YouTube structure edge. I'd use Sol at low for volume and xhigh, which overlaps max for $0.199, for scripts I publish.
Disclosure: GPT-6.1 Sol comes from the same lab as one of the four judges, GPT-6.1 Sol. The other three sit outside its lab, so it is never scored by its own lab alone (how the panel works). The judge analysis measures how much each judge favors its own lab.
Writing Score and Writing Elo. The Writing Score (0 to 100) is the weighted average of the nine metric scores: seven from the judges, Length Adherence from code and the Slop Score half from each. The Writing Elo is a rating from pairwise comparisons: on each script, each configuration's average across its drafts is compared with every other configuration's, and gaps within the draft-to-draft variation count as draws. Elo rewards winning often, so the two can put configurations in a different order.
Elo ranges. Each 95% range shows how far a configuration's Elo could move if the drafts had come out slightly differently. It comes from resampling every configuration's recorded draft scores on each reference script and ranking again. Comparing two separate ranges does not test the Elo gap between them: ranges far apart are strong evidence for the order, and overlapping ranges do not mean a tie. The reference scripts stay fixed, so the ranges say nothing about new scripts. The methodology page has the full description.
Every ranked configuration of GPT-6.1 Sol and Muse Wonder, scored on the same 10 scripts by the same four judges.
Shaded rows are the configurations chosen for the metric comparison below.
| Configuration | Writing Elo | 95% Range | Writing Score | Cost / Script | Time / Script | Reasoning Tokens | Configuration Rank |
|---|---|---|---|---|---|---|---|
| GPT-6.1 Sol (max) | 2204 | 2171 to 2240 | 82.4 | $0.239 | 10.2 min | N/A | #16 |
| GPT-6.1 Sol (xhigh) | 2202 | 2161 to 2245 | 82.4 | $0.199 | 7.8 min | N/A | #18 |
| GPT-6.1 Sol (low) | 2084 | 2052 to 2116 | 81.4 | $0.052 | 1.5 min | N/A | #24 |
| GPT-6.1 Sol (high) | 2042 | 2006 to 2077 | 81.1 | $0.094 | 3.3 min | N/A | #26 |
| GPT-6.1 Sol (medium) | 2024 | 1987 to 2058 | 81.0 | $0.054 | 1.6 min | N/A | #29 |
| Muse Wonder (max) | 2005 | 1959 to 2044 | 80.6 | $0.309 | 2.0 min | 9,601 | #31 |
| Muse Wonder (high) | 1664 | 1600 to 1724 | 76.7 | $0.149 | 0.9 min | 1,385 | #58 |
| Muse Wonder (adaptive) | 1604 | 1550 to 1661 | 76.2 | $0.139 | 0.8 min | 766 | #70 |
Cost is one script at the API list price of the route used, uncached and without judging. Time is the average for one accepted script, retries included. N/A under Reasoning Tokens means the board has no separate reasoning count for that route.
Each finding is computed from the configurations above. Where two 95% ranges overlap, the board cannot order those two configurations.
| Level | GPT-6.1 Sol | Muse Wonder | Gap | 95% Ranges |
|---|---|---|---|---|
| high | 2042 | 1664 | +378 | Separate |
| max | 2204 | 2005 | +199 | Separate |
Gap is GPT-6.1 Sol minus Muse Wonder at the same level name, using each model's highest-rated configuration at that level.
Pick one configuration of each model to compare their metric scores, consistency across drafts and per-script scores. Each menu starts on the model's best configuration.
GPT-6.1 Sol (max) scores higher on seven of the nine metrics and Muse Wonder (max) on two. Weighted by each metric's share of the Writing Score, Length Adherence does the most to put GPT-6.1 Sol (max) ahead, with a 15.5-point lead on that metric. The weight beside each metric is its share of the Writing Score.
| GPT-6.1 Sol (max) | Muse Wonder (max) | |
|---|---|---|
| Score spread across drafts (±) | 1.40 | 1.91 |
| Lowest script score | 80.6 Script 10 | 78.2 Script 10 |
| Highest script score | 85.0 Script 9 | 82.2 Script 5 |
| Range across scripts | 4.4 | 4.0 |
Spread is how much the Writing Score moves between a configuration's drafts, and lower is steadier. Green marks the better number in each row.
Writing Score on each reference script. Gap is GPT-6.1 Sol (max) minus Muse Wonder (max), and the higher score is in bold.
| Script | GPT-6.1 Sol (max) | Muse Wonder (max) | Gap |
|---|---|---|---|
| Script 1 opinion / warning explainer | 81.7 | 81.3 | +0.4 |
| Script 2 news-analysis / skeptical explainer | 82.5 | 81.7 | +0.8 |
| Script 3 personal roadmap / opinion | 83.6 | 81.3 | +2.3 |
| Script 4 short explainer | 82.5 | 79.5 | +3.0 |
| Script 5 news-analysis / opinion explainer | 82.0 | 82.2 | -0.2 |
| Script 6 founder announcement / personal origin story | 83.3 | 81.3 | +2.0 |
| Script 7 personal technical walkthrough / agentic workflow case study | 82.2 | 78.5 | +3.7 |
| Script 8 product release announcement / personal observation | 81.0 | 82.1 | -1.1 |
| Script 9 career guide / hiring analysis | 85.0 | 79.9 | +5.1 |
| Script 10 engineering process walkthrough / presentation adaptation | 80.6 | 78.2 | +2.4 |
Each configuration name in the table above opens its own scorecard.
Pick a second model. A pair with its own written match-up opens that page, and any other pair opens in the comparison tool.
Every configuration wrote five drafts for each of the same 10 briefs, from the same prompt. Generation was closed-book, with the prompt as the only source and no web search or other tools. Each judge scores every draft once: Claude Opus 5.5 at medium effort through the Claude Code subscription, GPT-6.1 Sol at medium reasoning through the Codex CLI, GLM 5.3 Flash through OpenRouter, and Jev 1.13, a typed judge from TypeSafe that answers each metric as a multiple-choice question. The channel's finished script is their reference for the voice, and it gets no score on the board itself.
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