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Model Comparison

Claude Fable 5.2 vs GPT-5.6 Terra

Claude Fable 5.2 (xhigh) leads GPT-5.6 Terra (ultra) by 680 Elo, and their 95% ranges sit 593 Elo apart. Even Claude Fable 5.2's lowest-rated configuration, Claude Fable 5.2 (low), ranks above GPT-5.6 Terra (ultra). Among 87 models, each ranked by its best configuration, Claude Fable 5.2 is #2 and GPT-5.6 Terra is #16. Cost per script: $2.22 for Claude Fable 5.2 (xhigh) and $0.275 for GPT-5.6 Terra (ultra).

Last updated , from board data generated at 17:52 UTC.

Claude Fable 5.2
2673 Writing Elo of Claude Fable 5.2 (xhigh), its best configuration#2 of 87 models · 85.6/100 Writing Score · $2.22 per script5 configurations on the board
GPT-5.6 Terra
1993 Writing Elo of GPT-5.6 Terra (ultra), its best configuration#16 of 87 models · 81.4/100 Writing Score · $0.275 per script2 configurations on the board

Picks and Verdict

PickClaude Fable 5.2

Claude Fable 5.2 (high)

Pick Claude Fable 5.2 (high) for the script that has to sound right, 518 Elo above Terra's best at $1.22 a script and 4.0 minutes.

PickGPT-5.6 Terra

GPT-5.6 Terra (medium)

Pick GPT-5.6 Terra (medium) for cheap first drafts at $0.062 a script and 1.4 minutes, under a quarter of what ultra costs.

The thinking ladders pay very differently on this page. On Claude Fable 5.2, going from low to xhigh adds 258 Elo for about 4.8 times the cost, the step from high to xhigh alone adds 162 with 95% ranges that don't overlap, and max effort then gives back 27. On GPT-5.6 Terra, going from medium to ultra adds 71 Elo for about 4.4 times the cost, and the two ranges overlap. The ranking itself isn't close. Fable 5.2 is the #2 model of 87 and GPT-5.6 Terra the #16 model, each ranked by its best configuration: Claude Fable 5.2 (xhigh) sits 680 Elo above GPT-5.6 Terra (ultra), and Claude Fable 5.2 (high) sits 518 Elo above it, for $1.22 against $0.275 and in half the time, 4.0 minutes against 8.0. Even Fable at low, $0.460 and 1.4 minutes, clears Terra's best by 422. Terra comes closest on hooks, where medium sits 0.6 points behind Fable at high, and on substance, where ultra sits 1.1 behind. Its medium setting also scores higher on tone than ultra does, and costs $0.062 for 1.4 minutes. For the script that matters I'd run Fable 5.2, at high most days and xhigh for the one I record, and Terra at medium for cheap first drafts.

Disclosure: Claude Fable 5.2 and GPT-5.6 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 5.2 and GPT-5.6 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 5.2GPT-5.6 Terra
ConfigurationWriting Elo95% RangeWriting ScoreCost / ScriptTime / ScriptConfiguration Rank
Claude Fable 5.2 (xhigh)26732630 to 271785.6$2.227.4 min#3
Claude Fable 5.2 (max effort)26462599 to 268985.5$5.7519.9 min#4
Claude Fable 5.2 (high)25112455 to 255584.8$1.224.0 min#5
Claude Fable 5.2 (medium)24222370 to 246984.3$0.5611.8 min#11
Claude Fable 5.2 (low)24152370 to 245484.1$0.4601.4 min#12
GPT-5.6 Terra (ultra)19931952 to 203781.4$0.2758.0 min#32
GPT-5.6 Terra (medium)19221879 to 195780.7$0.0621.4 min#40

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.

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 5.2 (xhigh)GPT-5.6 Terra (ultra)Solid bar: higher score in that row

Claude Fable 5.2 (xhigh) scores higher on all nine metrics. Weighted by each metric's share of the Writing Score, Tone & Voice Match does the most to put Claude Fable 5.2 (xhigh) ahead, with a 4.9-point lead on that metric. The weight beside each metric is its share of the Writing Score.

Tone & Voice Match19% weight
81.8
76.9
Writing Craft & Clarity13% weight
82.5
76.8
Substance, Accuracy & Value15% weight
88.2
86.4
Continuity & Emotion14% weight
84.6
80.2
YouTube Best Practices12% weight
84.2
79.3
Hook Strength10% weight
84.0
81.5
Length Adherence8% weight
99.0
93.7
Slop Score5% weight
88.2
84.7
Visual Cue Quality4% weight
85.3
80.3

Consistency Across Drafts

Claude Fable 5.2 (xhigh)GPT-5.6 Terra (ultra)
Score spread across drafts (±)1.441.38
Lowest script score83.6 Script 1079.8 Script 4
Highest script score88.0 Script 983.0 Script 6
Range across scripts4.43.2

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 Fable 5.2 (xhigh) minus GPT-5.6 Terra (ultra), and the higher score is in bold.

ScriptClaude Fable 5.2 (xhigh)GPT-5.6 Terra (ultra)Gap
Script 1 opinion / warning explainer83.781.1+2.6
Script 2 news-analysis / skeptical explainer85.482.1+3.3
Script 3 personal roadmap / opinion85.582.5+3.0
Script 4 short explainer85.479.8+5.6
Script 5 news-analysis / opinion explainer86.182.2+3.9
Script 6 founder announcement / personal origin story85.983.0+2.9
Script 7 personal technical walkthrough / agentic workflow case study87.380.6+6.7
Script 8 product release announcement / personal observation85.180.3+4.8
Script 9 career guide / hiring analysis88.081.8+6.2
Script 10 engineering process walkthrough / presentation adaptation83.680.6+3.0

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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