Model Comparison
GPT-6.1 Sol (max) leads Claude Sonnet 5 (max effort) by 355 Elo, and their 95% ranges sit 280 Elo apart. Even GPT-6.1 Sol's lowest-rated configuration, GPT-6.1 Sol (medium), ranks above Claude Sonnet 5 (max effort). Among 78 models, each ranked by its best configuration, GPT-6.1 Sol is #9 and Claude Sonnet 5 is #23. Cost per script: $0.239 for GPT-6.1 Sol (max) and $0.696 for Claude Sonnet 5 (max effort).
Last updated , from board data generated at 01:13 UTC.
PickGPT-6.1 Sol
GPT-6.1 Sol (low)
Pick GPT-6.1 Sol (low) for everyday scripts, at $0.052 against $0.696 for the best Sonnet 5 setting, which it leads by 240 Elo.
PickClaude Sonnet 5
Claude Sonnet 5 (max effort)
Pick Claude Sonnet 5 (max effort) when you work in Sonnet 5 and length matters, since it sits 207 Elo above high and scores 96.6 on Length Adherence.
This one is easy: every GPT-6.1 Sol setting ranks above everything Claude Sonnet 5 has, with 95% ranges that don't overlap, and by best setting that's the #9 model of 78 against the #23 model. The cheapest setting on the page, GPT-6.1 Sol (low) at $0.052 a script, sits 240 Elo above Claude Sonnet 5 (max effort), which costs $0.696 and takes twelve minutes. One odd thing in Sol's ladder: low ranks above medium and high, and those three ranges overlap, so the extra thinking in the middle buys nothing the board can see. The step that counts is xhigh, 110 Elo over low with separate ranges, for $0.199. GPT-6.1 Sol (max) is the top setting, but the board can't separate it from xhigh, which costs less. Sonnet 5 does have two things going for it. At max effort it edges four of the five Sol settings on continuity, and it lands far closer to the requested length than Sol at low. Its hooks trail by about seven points, and its drafts swing more. I'd run GPT-6.1 Sol at low for daily drafts and at xhigh when the script matters.
Disclosure: GPT-6.1 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-6.1 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-6.1 Sol (max) | 2214 | 2184 to 2248 | 82.4 | $0.239 | 10.2 min | #17 |
| GPT-6.1 Sol (xhigh) | 2209 | 2161 to 2256 | 82.4 | $0.199 | 7.8 min | #19 |
| GPT-6.1 Sol (low) | 2099 | 2062 to 2133 | 81.4 | $0.052 | 1.5 min | #24 |
| GPT-6.1 Sol (high) | 2055 | 2018 to 2094 | 81.1 | $0.094 | 3.3 min | #26 |
| GPT-6.1 Sol (medium) | 2033 | 1995 to 2071 | 81.0 | $0.054 | 1.6 min | #29 |
| 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.
| Level | GPT-6.1 Sol | Claude Sonnet 5 | Gap | 95% Ranges |
|---|---|---|---|---|
| high | 2055 | 1652 | +403 | Separate |
| max | 2214 | 1859 | +355 | Separate |
Gap is GPT-6.1 Sol minus Claude Sonnet 5 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 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-6.1 Sol (max) ahead, with a 7.4-point lead on that metric. The weight beside each metric is its share of the Writing Score.
| GPT-6.1 Sol (max) | Claude Sonnet 5 (max effort) | |
|---|---|---|
| Score spread across drafts (±) | 1.40 | 2.39 |
| Lowest script score | 80.6 Script 10 | 75.7 Script 4 |
| Highest script score | 85.0 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-6.1 Sol (max) minus Claude Sonnet 5 (max effort), and the higher score is in bold.
| Script | GPT-6.1 Sol (max) | Claude Sonnet 5 (max effort) | Gap |
|---|---|---|---|
| Script 1 opinion / warning explainer | 81.7 | 77.4 | +4.3 |
| Script 2 news-analysis / skeptical explainer | 82.5 | 78.9 | +3.6 |
| Script 3 personal roadmap / opinion | 83.6 | 78.1 | +5.5 |
| Script 4 short explainer | 82.5 | 75.7 | +6.8 |
| Script 5 news-analysis / opinion explainer | 82.0 | 80.9 | +1.1 |
| Script 6 founder announcement / personal origin story | 83.3 | 81.1 | +2.2 |
| Script 7 personal technical walkthrough / agentic workflow case study | 82.2 | 81.2 | +1.0 |
| Script 8 product release announcement / personal observation | 81.0 | 79.3 | +1.7 |
| Script 9 career guide / hiring analysis | 85.0 | 81.5 | +3.5 |
| Script 10 engineering process walkthrough / presentation adaptation | 80.6 | 78.0 | +2.6 |
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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