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Model Comparison

Claude Fable 5 vs GPT-6.1 Terra

Claude Fable 5 (max effort, Opus 4.8 fallback) leads GPT-6.1 Terra (max) by 273 Elo, and their 95% ranges sit 181 Elo apart. Even Claude Fable 5's lowest-rated configuration, Claude Fable 5 (high), ranks above GPT-6.1 Terra (max). Among 84 models, each ranked by its best configuration, Claude Fable 5 is #6 and GPT-6.1 Terra is #23. Cost per script: $3.20 for Claude Fable 5 (max effort, Opus 4.8 fallback) and $0.079 for GPT-6.1 Terra (max).

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

Claude Fable 5
2196 Writing Elo of Claude Fable 5 (max effort, Opus 4.8 fallback), its best configuration#6 of 84 models · 82.9/100 Writing Score · $3.20 per script2 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

PickClaude Fable 5

Claude Fable 5 (high)

Pick Claude Fable 5 (high) for scripts you'll publish, since its individual Elo range overlaps max and it costs $1.34 a script instead of $3.20.

PickGPT-6.1 Terra

GPT-6.1 Terra (low)

Pick GPT-6.1 Terra (low) for fast drafts and hook ideas, at $0.027 a script and about half a minute, with a higher Hook Strength than either Fable setting.

Claude Fable 5 writes the better script, and the board is clear about it. Claude Fable 5 is the #6 model of 84 and GPT-6.1 Terra the #23 model, each ranked by its best setting. Claude Fable 5 (max effort, Opus 4.8 fallback) sits 273 Elo above GPT-6.1 Terra (max), with 95% ranges 181 Elo apart, and Fable at high still clears every Terra row. On Fable, max adds 91 Elo over high, but those ranges overlap, so I'd keep it at high for $1.34 and 4.9 minutes instead of $3.20 and 12.5. On Terra, the five effort levels sit within 25 Elo of each other with overlapping ranges, so I would use low, at $0.027 and about half a minute a script. Fable wins on structure and flow: 8.0 points ahead on YouTube Best Practices and 6.9 on Continuity & Emotion at the top settings. Terra has real edges of its own, though. It writes the stronger hook at every setting and scores 3.5 points better on slop. I'd use Fable at high for scripts I'll publish and Terra at low to get hooks and rough drafts out fast.

Disclosure: Claude Fable 5 and GPT-6.1 Terra 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 Fable 5 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).
Claude Fable 5GPT-6.1 Terra
ConfigurationWriting Elo95% RangeWriting ScoreCost / ScriptTime / ScriptConfiguration Rank
Claude Fable 5 (max effort, Opus 4.8 fallback)21962140 to 225482.9$3.2012.5 min#12
Claude Fable 5 (high)21052053 to 214881.9$1.344.9 min#23
GPT-6.1 Terra (max)19231884 to 195980.3$0.0791.8 min#43
GPT-6.1 Terra (high)19221881 to 195880.3$0.0270.5 min#44
GPT-6.1 Terra (low)19201879 to 196180.2$0.0270.5 min#46
GPT-6.1 Terra (xhigh)19061869 to 194480.1$0.0280.5 min#48
GPT-6.1 Terra (medium)18981852 to 194279.9$0.0270.5 min#49

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. 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

LevelClaude Fable 5GPT-6.1 TerraGap95% Ranges
high21051922+183Separate
max21961923+273Separate

Gap is Claude Fable 5 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

Claude Fable 5 (max effort, Opus 4.8 fallback)GPT-6.1 Terra (max)Solid bar: higher score in that row

Claude Fable 5 (max effort, Opus 4.8 fallback) 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, Tone & Voice Match does the most to put Claude Fable 5 (max effort, Opus 4.8 fallback) ahead, with a 6.6-point lead on that metric. The weight beside each metric is its share of the Writing Score.

Tone & Voice Match19% weight
80.6
74.0
Writing Craft & Clarity13% weight
77.5
78.3
Substance, Accuracy & Value15% weight
84.9
85.8
Continuity & Emotion14% weight
84.4
77.5
YouTube Best Practices12% weight
84.3
76.3
Hook Strength10% weight
78.0
80.6
Length Adherence8% weight
94.7
94.2
Slop Score5% weight
84.6
88.1
Visual Cue Quality4% weight
81.2
80.2

Consistency Across Drafts

Claude Fable 5 (max effort, Opus 4.8 fallback)GPT-6.1 Terra (max)
Score spread across drafts (±)1.961.68
Lowest script score81.2 Script 877.9 Script 10
Highest script score86.4 Script 783.2 Script 9
Range across scripts5.25.3

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 Claude Fable 5 (max effort, Opus 4.8 fallback) minus GPT-6.1 Terra (max), and the higher score is in bold.

ScriptClaude Fable 5 (max effort, Opus 4.8 fallback)GPT-6.1 Terra (max)Gap
Script 1 opinion / warning explainer83.180.2+2.9
Script 2 news-analysis / skeptical explainer83.780.7+3.0
Script 3 personal roadmap / opinion81.680.4+1.2
Script 4 short explainer81.679.6+2.0
Script 5 news-analysis / opinion explainer82.580.1+2.4
Script 6 founder announcement / personal origin story82.982.2+0.7
Script 7 personal technical walkthrough / agentic workflow case study86.479.9+6.5
Script 8 product release announcement / personal observation81.279.1+2.1
Script 9 career guide / hiring analysis83.283.20.0
Script 10 engineering process walkthrough / presentation adaptation82.877.9+4.9

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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