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Model Comparison

Claude Opus 5.5 vs GPT-6 Astra

Claude Opus 5.5 (max effort) leads GPT-6 Astra (max) by 603 Elo, and their 95% ranges sit 493 Elo apart. Even Claude Opus 5.5's lowest-rated configuration, Claude Opus 5.5 (low), ranks above GPT-6 Astra (max). Among 78 models, each ranked by its best configuration, Claude Opus 5.5 is #1 and GPT-6 Astra is #11. Cost per script: $2.58 for Claude Opus 5.5 (max effort) and $1.15 for GPT-6 Astra (max).

Last updated , from board data generated at 01:13 UTC.

Claude Opus 5.5
2788 Writing Elo of Claude Opus 5.5 (max effort), its best configuration#1 of 78 models · 85.9/100 Writing Score · $2.58 per script5 configurations on the board
GPT-6 Astra
2185 Writing Elo of GPT-6 Astra (max), its best configuration#11 of 78 models · 82.3/100 Writing Score · $1.15 per script2 configurations on the board

Picks and Verdict

PickClaude Opus 5.5

Claude Opus 5.5 (xhigh)

Pick Claude Opus 5.5 (xhigh) for any script you care about, since it leads Astra's best by 603 Elo for $1.00 a script against $1.15.

PickGPT-6 Astra

GPT-6 Astra (max)

Pick GPT-6 Astra (max) if Claude isn't an option for you, because it stays close to Opus on substance, 87.5 against 88.4, and lands the length.

For less money, $1.00 against $1.15 a script, Claude Opus 5.5 (xhigh) sits 603 Elo above GPT-6 Astra (max), with ranges nowhere near each other. That's the #1 model of 78 against the #11 model. Astra's best doesn't catch Opus at its cheapest either. Claude Opus 5.5 (low) beats it by 308 Elo with separate ranges, at about a fifth of the price, and it's done in a minute and a half where Astra takes over nine. Opus at low even costs less than Astra's own lowest setting, GPT-6 Astra (medium), and leads it by 490 Elo. Astra gets the content right, though. Its max setting is about a point behind Opus at xhigh on substance, has the cleanest Slop Score on the page and lands the length. It loses on how the script reads, with tone, craft and continuity all about five points back, and in a script meant to sound like me that's the hardest part to fix by hand. I'd run Opus at xhigh and leave out max effort, which costs $2.58 and over seventeen minutes for a result the board can't separate from xhigh.

Disclosure: Claude Opus 5.5 and GPT-6 Astra 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 5.5 and GPT-6 Astra, 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 5.5GPT-6 Astra
ConfigurationWriting Elo95% RangeWriting ScoreCost / ScriptTime / ScriptConfiguration Rank
Claude Opus 5.5 (max effort)27882716 to 284585.9$2.5817.5 min#1
Claude Opus 5.5 (xhigh)27882727 to 285185.8$1.006.7 min#2
Claude Opus 5.5 (high)25362486 to 257384.6$0.3282.1 min#5
Claude Opus 5.5 (medium)25202469 to 257684.5$0.3101.9 min#6
Claude Opus 5.5 (low)24932436 to 253684.3$0.2431.5 min#7
GPT-6 Astra (max)21852145 to 222382.3$1.159.2 min#21
GPT-6 Astra (medium)20031968 to 203580.7$0.2621.5 min#32

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.

Writing Elo at Each Shared Level Name

LevelClaude Opus 5.5GPT-6 AstraGap95% Ranges
medium25202003+517Separate
max27882185+603Separate

Gap is Claude Opus 5.5 minus GPT-6 Astra at the same level name, using each model's highest-rated configuration at that level.

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 5.5 (max effort)GPT-6 Astra (max)Solid bar: higher score in that row

Claude Opus 5.5 (max effort) scores higher on eight of the nine metrics and GPT-6 Astra (max) on one. Weighted by each metric's share of the Writing Score, Tone & Voice Match does the most to put Claude Opus 5.5 (max effort) ahead, with a 5.0-point lead on that metric. The weight beside each metric is its share of the Writing Score.

Tone & Voice Match19% weight
82.8
77.8
Writing Craft & Clarity13% weight
82.9
78.4
Substance, Accuracy & Value15% weight
88.0
87.5
Continuity & Emotion14% weight
85.7
79.9
YouTube Best Practices12% weight
84.3
76.6
Hook Strength10% weight
83.7
82.1
Length Adherence8% weight
98.7
98.3
Slop Score5% weight
88.4
88.6
Visual Cue Quality4% weight
85.9
83.4

Consistency Across Drafts

Claude Opus 5.5 (max effort)GPT-6 Astra (max)
Score spread across drafts (±)1.441.87
Lowest script score83.6 Script 1080.6 Script 1
Highest script score87.3 Script 785.8 Script 9
Range across scripts3.75.2

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 5.5 (max effort) minus GPT-6 Astra (max), and the higher score is in bold.

ScriptClaude Opus 5.5 (max effort)GPT-6 Astra (max)Gap
Script 1 opinion / warning explainer84.680.6+4.0
Script 2 news-analysis / skeptical explainer85.382.0+3.3
Script 3 personal roadmap / opinion86.584.3+2.2
Script 4 short explainer87.082.7+4.3
Script 5 news-analysis / opinion explainer85.981.3+4.6
Script 6 founder announcement / personal origin story86.383.6+2.7
Script 7 personal technical walkthrough / agentic workflow case study87.381.6+5.7
Script 8 product release announcement / personal observation85.580.6+4.9
Script 9 career guide / hiring analysis87.385.8+1.5
Script 10 engineering process walkthrough / presentation adaptation83.680.7+2.9

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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