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Model Comparison

Claude Opus 5 vs GPT-5.6 Luna

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.

Claude Opus 5
2319 Writing Elo of Claude Opus 5 (max effort), its best configuration#5 of 78 models · 83.3/100 Writing Score · $0.736 per script2 configurations on the board
GPT-5.6 Luna
1812 Writing Elo of GPT-5.6 Luna (ultra), its best configuration#24 of 78 models · 78.8/100 Writing Score · $0.026 per script2 configurations on the board

Picks and Verdict

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.

How to Read the Writing Score, Writing Elo and 95% Ranges

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.

All Thinking Levels of Both Models

Every ranked configuration of Claude Opus 5 and GPT-5.6 Luna, scored on the same 10 scripts by the same four judges.

How to Read the Chart
  • Each row is one configuration: the model at one thinking level. The dot is its Writing Elo, a rating from pairwise comparisons of the scores on each script, and the bar is its 95% range: how far that Elo could move if the drafts had come out slightly differently.
  • When two bars overlap, the board cannot order those two configurations. Bars far apart are strong evidence for the order.
  • The table under the chart lists the same configurations in the same order and adds the Writing Score (the 0 to 100 consensus of the judges and code), cost, time and configuration rank (the place among all configurations on the board).
Claude Opus 5GPT-5.6 Luna
ConfigurationWriting Elo95% RangeWriting ScoreCost / ScriptTime / ScriptConfiguration Rank
Claude Opus 5 (max effort)23192260 to 236183.3$0.7365.5 min#11
Claude Opus 5 (high)22282180 to 227882.6$0.4723.5 min#13
GPT-5.6 Luna (ultra)18121768 to 185878.8$0.0263.1 min#49
GPT-5.6 Luna (medium)16091572 to 164776.7$0.00650.5 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.

Computed Findings Across Thinking Levels

Each finding is computed from the configurations above. Where two 95% ranges overlap, the board cannot order those two configurations.

Two Chosen Configurations Compared

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.

Scores by Metric

Claude Opus 5 (max effort)GPT-5.6 Luna (ultra)Solid bar: higher score in that row

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.

Tone & Voice Match19% weight
80.8
71.9
Writing Craft & Clarity13% weight
80.5
74.7
Substance, Accuracy & Value15% weight
84.5
84.8
Continuity & Emotion14% weight
83.7
77.2
YouTube Best Practices12% weight
83.5
76.6
Hook Strength10% weight
82.3
80.6
Length Adherence8% weight
92.0
91.8
Slop Score5% weight
85.1
83.9
Visual Cue Quality4% weight
79.8
78.4

Consistency Across Drafts

Claude Opus 5 (max effort)GPT-5.6 Luna (ultra)
Score spread across drafts (±)1.102.07
Lowest script score81.9 Script 1076.0 Script 7
Highest script score84.5 Script 780.8 Script 9
Range across scripts2.64.8

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.

Scores by Script

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.

ScriptClaude Opus 5 (max effort)GPT-5.6 Luna (ultra)Gap
Script 1 opinion / warning explainer83.078.5+4.5
Script 2 news-analysis / skeptical explainer83.480.3+3.1
Script 3 personal roadmap / opinion83.279.7+3.5
Script 4 short explainer83.277.4+5.8
Script 5 news-analysis / opinion explainer83.379.7+3.6
Script 6 founder announcement / personal origin story83.480.6+2.8
Script 7 personal technical walkthrough / agentic workflow case study84.576.0+8.5
Script 8 product release announcement / personal observation83.078.4+4.6
Script 9 career guide / hiring analysis83.680.8+2.8
Script 10 engineering process walkthrough / presentation adaptation81.976.9+5.0

Compare With Another Model

Pick a second model. A pair with its own written match-up opens that page, and any other pair opens in the comparison tool.

Nearby Match-Ups by Best Writing Elo

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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