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Model Comparison

Muse Wonder vs GPT-6.1 Terra

Overlapping ranges: the best configurations, Muse Wonder (max) and GPT-6.1 Terra (max), are 51 Elo apart, and their 95% ranges overlap. Among 84 models, each ranked by its best configuration, Muse Wonder is #17 and GPT-6.1 Terra is #23. Cost per script: $0.309 for Muse Wonder (max) and $0.079 for GPT-6.1 Terra (max).

Last updated , from board data generated at 20:15 UTC.

Muse Wonder
1974 Writing Elo of Muse Wonder (max), its best configuration#17 of 84 models · 80.6/100 Writing Score · $0.309 per script3 configurations on the board
GPT-6.1 Terra
1923 Writing Elo of GPT-6.1 Terra (max), its best configuration#23 of 84 models · 80.3/100 Writing Score · $0.079 per script5 configurations on the board

Picks and Verdict

PickMuse Wonder

Muse Wonder (max)

Pick Muse Wonder (max) when the flow of the script matters most, since it scores higher than Terra at low on seven of the ten scripts, at $0.309 a script.

PickGPT-6.1 Terra

GPT-6.1 Terra (low)

Pick GPT-6.1 Terra (low) as the default, since its individual Elo range overlaps Muse's best and it costs $0.027 a script in 0.5 minutes.

Muse Wonder at max ranks higher, and its individual Elo range still overlaps GPT-6.1 Terra at its cheapest. Muse Wonder (max) sits 51 Elo above GPT-6.1 Terra (max) and 54 above GPT-6.1 Terra (low), with overlapping 95% ranges each time, the #17 model of 84 against the #23 model. The thinking levels behave very differently. Muse needs max: Muse Wonder (high) falls 347 Elo below it and trails Terra at high by 295 with separate ranges, mostly on Length Adherence, and adaptive drops lower still. Terra's five settings sit within 25 Elo of each other, so low is the one I would run. Muse at max costs $0.309 a script and takes 2.0 minutes. Terra at low costs $0.027 and takes 0.5, about an eleventh of the price. Against Terra at low, Muse leads YouTube structure by 3.0 points and continuity by 2.6, and scores higher on seven of the ten scripts. Terra lands the length 5.5 points better and writes with less filler, 4.0 points up on slop. I'd run Terra at low by default and pay for Muse at max when the flow of a script matters more than the bill.

Disclosure: GPT-6.1 Terra comes from the same lab as one of the four judges, GPT-6.1 Sol. The other three sit outside its lab, so it is never 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 Muse Wonder and GPT-6.1 Terra, 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.
  • Each bar describes one configuration. Overlap alone does not establish a tie or decide their order. Comparing these ranges does not directly test the difference between a pair.
  • 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).
Muse WonderGPT-6.1 Terra
ConfigurationWriting Elo95% RangeWriting ScoreCost / ScriptTime / ScriptReasoning TokensConfiguration Rank
Muse Wonder (max)19741932 to 201980.6$0.3092.0 min9,601#33
GPT-6.1 Terra (max)19231884 to 195980.3$0.0791.8 minN/A#43
GPT-6.1 Terra (high)19221881 to 195880.3$0.0270.5 minN/A#44
GPT-6.1 Terra (low)19201879 to 196180.2$0.0270.5 minN/A#46
GPT-6.1 Terra (xhigh)19061869 to 194480.1$0.0280.5 minN/A#48
GPT-6.1 Terra (medium)18981852 to 194279.9$0.0270.5 minN/A#49
Muse Wonder (high)16271554 to 169276.7$0.1490.9 min1,385#69
Muse Wonder (adaptive)15731520 to 163576.2$0.1390.8 min766#77

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. N/A under Reasoning Tokens means the board has no separate reasoning count for that route.

Computed Findings Across Thinking Levels

Each finding is computed from the configurations above. The 95% ranges describe individual configurations; overlap alone establishes neither a tie nor an order for a pair.

Writing Elo at Each Shared Level Name

LevelMuse WonderGPT-6.1 TerraGap95% Ranges
high16271922-295Separate
max19741923+51Overlap

Gap is Muse Wonder minus GPT-6.1 Terra 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

Muse Wonder (max)GPT-6.1 Terra (max)Solid bar: higher score in that row

Muse Wonder (max) scores higher on five of the nine metrics and GPT-6.1 Terra (max) on four. Weighted by each metric's share of the Writing Score, Continuity & Emotion does the most to put Muse Wonder (max) ahead, with a 4.0-point lead on that metric. The weight beside each metric is its share of the Writing Score.

Tone & Voice Match19% weight
76.7
74.0
Writing Craft & Clarity13% weight
76.6
78.3
Substance, Accuracy & Value15% weight
86.8
85.8
Continuity & Emotion14% weight
81.5
77.5
YouTube Best Practices12% weight
79.3
76.3
Hook Strength10% weight
81.8
80.6
Length Adherence8% weight
82.5
94.2
Slop Score5% weight
84.0
88.1
Visual Cue Quality4% weight
78.4
80.2

Consistency Across Drafts

Muse Wonder (max)GPT-6.1 Terra (max)
Score spread across drafts (±)1.911.68
Lowest script score78.2 Script 1077.9 Script 10
Highest script score82.2 Script 583.2 Script 9
Range across scripts4.05.3

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 Muse Wonder (max) minus GPT-6.1 Terra (max), and the higher score is in bold.

ScriptMuse Wonder (max)GPT-6.1 Terra (max)Gap
Script 1 opinion / warning explainer81.380.2+1.1
Script 2 news-analysis / skeptical explainer81.780.7+1.0
Script 3 personal roadmap / opinion81.380.4+0.9
Script 4 short explainer79.579.6-0.1
Script 5 news-analysis / opinion explainer82.280.1+2.1
Script 6 founder announcement / personal origin story81.382.2-0.9
Script 7 personal technical walkthrough / agentic workflow case study78.579.9-1.4
Script 8 product release announcement / personal observation82.179.1+3.0
Script 9 career guide / hiring analysis79.983.2-3.3
Script 10 engineering process walkthrough / presentation adaptation78.277.9+0.3

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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