Model Comparison
GPT-6 Astra (max) leads Grok 4.6 (high) by 207 Elo, and their 95% ranges sit 122 Elo apart. Among 78 models, each ranked by its best configuration, GPT-6 Astra is #11 and Grok 4.6 is #19. Cost per script: $1.15 for GPT-6 Astra (max) and $0.156 for Grok 4.6 (high).
Last updated , from board data generated at 01:13 UTC.
PickGPT-6 Astra
GPT-6 Astra (medium)
Pick GPT-6 Astra (medium) for a draft back in under two minutes at $0.262 a script, as long as you check the length.
PickGrok 4.6
Grok 4.6 (high)
Pick Grok 4.6 (high) when tone and YouTube best practices matter most, since it leads both Astra settings on those rows for $0.156 a script and the board can't separate it from GPT-6 Astra (medium).
The fair match for Grok 4.6 (high), the only Grok 4.6 setting on the board, is the cheaper GPT-6 Astra setting, and the board can't separate those two. GPT-6 Astra (medium) sits 25 Elo higher with overlapping 95% ranges, at $0.262 a script against $0.156. For about ten cents more I'd still take Astra, because it finishes in under two minutes where Grok takes about five, and its drafts swing a little less from one run to the next. The clear win is at the top. By best setting, GPT-6 Astra is the #11 model of 78 and Grok 4.6 the #19 model: GPT-6 Astra (max) is 207 Elo ahead with ranges that don't overlap, for about 4.4 times the price of medium. Most of that step shows up in length: max lands almost exactly on target, and medium misses by enough that Grok beats it on that row. Grok 4.6 also leads both Astra settings on tone and on YouTube best practices. It loses on craft and slop, by about four and almost eight points. Astra at medium is where I'd start, and I'd check the length myself.
Disclosure: GPT-6 Astra 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 Astra and Grok 4.6, 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 Astra (max) | 2185 | 2145 to 2223 | 82.3 | $1.15 | 9.2 min | N/A | #21 |
| GPT-6 Astra (medium) | 2003 | 1968 to 2035 | 80.7 | $0.262 | 1.5 min | N/A | #32 |
| Grok 4.6 (high) | 1978 | 1930 to 2023 | 80.3 | $0.156 | 5.2 min | 18,588 | #36 |
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.
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 Astra (max) scores higher on seven of the nine metrics and Grok 4.6 (high) on two. Weighted by each metric's share of the Writing Score, Length Adherence does the most to put GPT-6 Astra (max) ahead, with a 7.6-point lead on that metric. The weight beside each metric is its share of the Writing Score.
| GPT-6 Astra (max) | Grok 4.6 (high) | |
|---|---|---|
| Score spread across drafts (±) | 1.87 | 1.82 |
| Lowest script score | 80.6 Script 1 | 78.5 Script 3 |
| Highest script score | 85.8 Script 9 | 82.8 Script 6 |
| Range across scripts | 5.2 | 4.3 |
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 Astra (max) minus Grok 4.6 (high), and the higher score is in bold.
| Script | GPT-6 Astra (max) | Grok 4.6 (high) | Gap |
|---|---|---|---|
| Script 1 opinion / warning explainer | 80.6 | 81.6 | -1.0 |
| Script 2 news-analysis / skeptical explainer | 82.0 | 80.8 | +1.2 |
| Script 3 personal roadmap / opinion | 84.3 | 78.5 | +5.8 |
| Script 4 short explainer | 82.7 | 80.2 | +2.5 |
| Script 5 news-analysis / opinion explainer | 81.3 | 81.1 | +0.2 |
| Script 6 founder announcement / personal origin story | 83.6 | 82.8 | +0.8 |
| Script 7 personal technical walkthrough / agentic workflow case study | 81.6 | 79.0 | +2.6 |
| Script 8 product release announcement / personal observation | 80.6 | 79.7 | +0.9 |
| Script 9 career guide / hiring analysis | 85.8 | 80.4 | +5.4 |
| Script 10 engineering process walkthrough / presentation adaptation | 80.7 | 79.1 | +1.6 |
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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