Model Comparison
GPT-5.6 Sol (low) leads Claude Sonnet 5 (max effort) by 359 Elo, and their 95% ranges sit 277 Elo apart. Even GPT-5.6 Sol's lowest-rated configuration, GPT-5.6 Sol (ultra), ranks above Claude Sonnet 5 (max effort). Among 78 models, each ranked by its best configuration, GPT-5.6 Sol is #8 and Claude Sonnet 5 is #23. Cost per script: $0.113 for GPT-5.6 Sol (low) and $0.696 for Claude Sonnet 5 (max effort).
Last updated , from board data generated at 01:13 UTC.
PickGPT-5.6 Sol
GPT-5.6 Sol (low)
Pick GPT-5.6 Sol (low) for nearly everything, since it sits 359 Elo above the best Sonnet 5 setting at $0.113 a script.
PickClaude Sonnet 5
Claude Sonnet 5 (max effort)
Pick Claude Sonnet 5 (max effort) when landing the requested length matters most, since its 96.6 on Length Adherence is the highest on this page.
Both Claude Sonnet 5 settings cost more than GPT-5.6 Sol (low), and neither gets close to it. Sol at low costs $0.113 a script, takes about a minute, and sits 359 Elo above Claude Sonnet 5 (max effort), which costs $0.696 and takes twelve. Their 95% ranges are nowhere near each other. Paying for ultra on Sol doesn't change much: it's 5 Elo down, the board can't separate the two, and the price more than triples. More thinking does a lot more for Sonnet 5, 207 Elo from high to max effort at almost six times the cost. Even so, it is the #23 model of 78 and GPT-5.6 Sol the #8 model, each ranked by its best setting. To be fair, Sonnet 5 at max effort has the best Length Adherence on the page, and it stays about a point behind Sol on continuity. The gaps that are hard to edit around are substance and hooks, about seven and eight points behind Sol at low, and its drafts are less steady. For a script I'd record, I'd run GPT-5.6 Sol at low.
Disclosure: GPT-5.6 Sol and Claude Sonnet 5 each come from the same lab as one of the judges (GPT-6.1 Sol and Claude Opus 5.5). 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 GPT-5.6 Sol and Claude Sonnet 5, 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 |
|---|---|---|---|---|---|---|
| GPT-5.6 Sol (low) | 2218 | 2181 to 2251 | 82.3 | $0.113 | 0.9 min | #16 |
| GPT-5.6 Sol (ultra) | 2213 | 2173 to 2266 | 82.3 | $0.367 | 4.1 min | #18 |
| Claude Sonnet 5 (max effort) | 1859 | 1812 to 1904 | 79.2 | $0.696 | 12.0 min | #45 |
| Claude Sonnet 5 (high) | 1652 | 1602 to 1703 | 76.6 | $0.121 | 1.9 min | #58 |
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.
GPT-5.6 Sol (low) scores higher on eight of the nine metrics and Claude Sonnet 5 (max effort) on one. Weighted by each metric's share of the Writing Score, Substance, Accuracy & Value does the most to put GPT-5.6 Sol (low) ahead, with a 7.2-point lead on that metric. The weight beside each metric is its share of the Writing Score.
| GPT-5.6 Sol (low) | Claude Sonnet 5 (max effort) | |
|---|---|---|
| Score spread across drafts (±) | 1.27 | 2.39 |
| Lowest script score | 79.8 Script 4 | 75.7 Script 4 |
| Highest script score | 84.2 Script 9 | 81.5 Script 9 |
| Range across scripts | 4.4 | 5.8 |
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 GPT-5.6 Sol (low) minus Claude Sonnet 5 (max effort), and the higher score is in bold.
| Script | GPT-5.6 Sol (low) | Claude Sonnet 5 (max effort) | Gap |
|---|---|---|---|
| Script 1 opinion / warning explainer | 82.1 | 77.4 | +4.7 |
| Script 2 news-analysis / skeptical explainer | 82.5 | 78.9 | +3.6 |
| Script 3 personal roadmap / opinion | 82.3 | 78.1 | +4.2 |
| Script 4 short explainer | 79.8 | 75.7 | +4.1 |
| Script 5 news-analysis / opinion explainer | 83.2 | 80.9 | +2.3 |
| Script 6 founder announcement / personal origin story | 82.8 | 81.1 | +1.7 |
| Script 7 personal technical walkthrough / agentic workflow case study | 82.0 | 81.2 | +0.8 |
| Script 8 product release announcement / personal observation | 82.6 | 79.3 | +3.3 |
| Script 9 career guide / hiring analysis | 84.2 | 81.5 | +2.7 |
| Script 10 engineering process walkthrough / presentation adaptation | 82.0 | 78.0 | +4.0 |
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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