Model Comparison
Claude Opus 5 (max effort) leads GPT-5.6 Luna (ultra) by 507 Elo, and their 95% ranges sit 402 Elo apart. Even Claude Opus 5's lowest-rated configuration, Claude Opus 5 (high), ranks above GPT-5.6 Luna (ultra). Among 78 models, each ranked by its best configuration, Claude Opus 5 is #5 and GPT-5.6 Luna is #24. Cost per script: $0.736 for Claude Opus 5 (max effort) and $0.026 for GPT-5.6 Luna (ultra).
Last updated , from board data generated at 01:13 UTC.
PickClaude Opus 5
Claude Opus 5 (max effort)
Pick Claude Opus 5 (max effort) for anything you record, at $0.736 a script, since its tone score runs about nine points above Luna's at ultra.
PickGPT-5.6 Luna
GPT-5.6 Luna (ultra)
Pick GPT-5.6 Luna (ultra) for a fast, fact-heavy first pass at $0.026 a script, since its 84.8 on substance is the highest on this page.
GPT-5.6 Luna keeps up with Claude Opus 5 on the facts and falls behind on the voice. GPT-5.6 Luna (ultra) edges Claude Opus 5 (max effort) on substance and is about level on length. Then it falls about nine points behind on Tone & Voice Match and seven on YouTube Best Practices, and the script stops sounding like me. That's the #24 model of 78 against the #5 model, each ranked by its best setting, 507 Elo apart with 95% ranges nowhere near each other. Both Opus settings rate above both Luna settings, and Opus at high alone clears ultra with separate ranges. More thinking pays most clearly for Luna: it gains 203 Elo from medium to ultra with separate ranges, largely because medium misses the target length badly. Opus gains 91 from high to max effort for about 1.6 times the cost, inside overlapping ranges. Price is Luna's case: $0.026 a script at ultra, about a twenty-eighth of Opus at max effort, and a little faster than either Opus setting. I'd use it for a fact-heavy first pass and write the script I record with Opus at max effort.
Disclosure: Claude Opus 5 and GPT-5.6 Luna each come from the same lab as one of the judges (Claude Opus 5.5 and GPT-6.1 Sol). Neither is 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 Claude Opus 5 and GPT-5.6 Luna, 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 | Configuration Rank |
|---|---|---|---|---|---|---|
| Claude Opus 5 (max effort) | 2319 | 2260 to 2361 | 83.3 | $0.736 | 5.5 min | #11 |
| Claude Opus 5 (high) | 2228 | 2180 to 2278 | 82.6 | $0.472 | 3.5 min | #13 |
| GPT-5.6 Luna (ultra) | 1812 | 1768 to 1858 | 78.8 | $0.026 | 3.1 min | #49 |
| GPT-5.6 Luna (medium) | 1609 | 1572 to 1647 | 76.7 | $0.0065 | 0.5 min | #66 |
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.
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.
Claude Opus 5 (max effort) scores higher on eight of the nine metrics and GPT-5.6 Luna (ultra) on one. Weighted by each metric's share of the Writing Score, Tone & Voice Match does the most to put Claude Opus 5 (max effort) ahead, with a 8.9-point lead on that metric. The weight beside each metric is its share of the Writing Score.
| Claude Opus 5 (max effort) | GPT-5.6 Luna (ultra) | |
|---|---|---|
| Score spread across drafts (±) | 1.10 | 2.07 |
| Lowest script score | 81.9 Script 10 | 76.0 Script 7 |
| Highest script score | 84.5 Script 7 | 80.8 Script 9 |
| Range across scripts | 2.6 | 4.8 |
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 Claude Opus 5 (max effort) minus GPT-5.6 Luna (ultra), and the higher score is in bold.
| Script | Claude Opus 5 (max effort) | GPT-5.6 Luna (ultra) | Gap |
|---|---|---|---|
| Script 1 opinion / warning explainer | 83.0 | 78.5 | +4.5 |
| Script 2 news-analysis / skeptical explainer | 83.4 | 80.3 | +3.1 |
| Script 3 personal roadmap / opinion | 83.2 | 79.7 | +3.5 |
| Script 4 short explainer | 83.2 | 77.4 | +5.8 |
| Script 5 news-analysis / opinion explainer | 83.3 | 79.7 | +3.6 |
| Script 6 founder announcement / personal origin story | 83.4 | 80.6 | +2.8 |
| Script 7 personal technical walkthrough / agentic workflow case study | 84.5 | 76.0 | +8.5 |
| Script 8 product release announcement / personal observation | 83.0 | 78.4 | +4.6 |
| Script 9 career guide / hiring analysis | 83.6 | 80.8 | +2.8 |
| Script 10 engineering process walkthrough / presentation adaptation | 81.9 | 76.9 | +5.0 |
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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