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Model Comparison

GPT-5.6 Terra vs Claude Opus 4.8

Too close to call: the best configurations, GPT-5.6 Terra (ultra) and Claude Opus 4.8 (max effort), are 61 Elo apart, and their 95% ranges overlap. Among 78 models, each ranked by its best configuration, GPT-5.6 Terra is #13 and Claude Opus 4.8 is #15. Cost per script: $0.275 for GPT-5.6 Terra (ultra) and $1.23 for Claude Opus 4.8 (max effort).

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

GPT-5.6 Terra
2074 Writing Elo of GPT-5.6 Terra (ultra), its best configuration#13 of 78 models · 81.4/100 Writing Score · $0.275 per script2 configurations on the board
Claude Opus 4.8
2013 Writing Elo of Claude Opus 4.8 (max effort), its best configuration#15 of 78 models · 80.7/100 Writing Score · $1.23 per script2 configurations on the board

Picks and Verdict

PickGPT-5.6 Terra

GPT-5.6 Terra (medium)

Pick GPT-5.6 Terra (medium) for most scripts at $0.062, about a twentieth of the price of Opus at max effort.

PickClaude Opus 4.8

Claude Opus 4.8 (max effort)

Pick Claude Opus 4.8 (max effort) when the structure and the length have to be right, since it leads both Terra settings on YouTube Best Practices and holds the length 7.5 points closer than Terra at medium, at $1.23 a script.

More thinking does about twice as much for Claude Opus 4.8 as for GPT-5.6 Terra, and I'd still run Terra. Opus gains 145 Elo from high to max effort, with separate 95% ranges. Terra gains 76 from medium to ultra, the two ranges overlap, and ultra costs more than four times as much. So GPT-5.6 Terra (medium) at $0.062 is the setting I'd compare everything to. By best setting Terra is the #13 model of 78 and Opus the #15 model, yet the range of Claude Opus 4.8 (max effort) overlaps both Terra settings, so the board can't separate them. It also costs $1.23, about twenty times Terra at medium, and takes seven times as long. Against Claude Opus 4.8 (high), Terra at medium leads by 130 Elo with separate ranges, at about a third of the price. Opus at max effort scores better on YouTube Best Practices and hits the length more closely. Terra at ultra leads on substance by over four points, and Terra at medium even edges Opus on tone. With results this close, medium is the Terra I'd run, and I'd spend the savings on editing.

Disclosure: GPT-5.6 Terra and Claude Opus 4.8 each come from the same lab as one of the judges (GPT-6.1 Sol and Claude Opus 5.5). 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 GPT-5.6 Terra and Claude Opus 4.8, 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).
GPT-5.6 TerraClaude Opus 4.8
ConfigurationWriting Elo95% RangeWriting ScoreCost / ScriptTime / ScriptConfiguration Rank
GPT-5.6 Terra (ultra)20742035 to 211381.4$0.2758.0 min#25
Claude Opus 4.8 (max effort)20131977 to 204780.7$1.239.8 min#30
GPT-5.6 Terra (medium)19981952 to 204180.7$0.0621.4 min#33
Claude Opus 4.8 (high)18681827 to 190579.3$0.1931.4 min#44

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

GPT-5.6 Terra (ultra)Claude Opus 4.8 (max effort)Solid bar: higher score in that row

GPT-5.6 Terra (ultra) scores higher on six of the nine metrics and Claude Opus 4.8 (max effort) on three. Weighted by each metric's share of the Writing Score, Substance, Accuracy & Value does the most to put GPT-5.6 Terra (ultra) ahead, with a 4.4-point lead on that metric. The weight beside each metric is its share of the Writing Score.

Tone & Voice Match19% weight
76.9
76.7
Writing Craft & Clarity13% weight
76.8
76.7
Substance, Accuracy & Value15% weight
86.4
82.0
Continuity & Emotion14% weight
80.2
80.9
YouTube Best Practices12% weight
79.3
80.4
Hook Strength10% weight
81.5
80.3
Length Adherence8% weight
93.7
94.6
Slop Score5% weight
84.7
82.1
Visual Cue Quality4% weight
80.3
79.7

Consistency Across Drafts

GPT-5.6 Terra (ultra)Claude Opus 4.8 (max effort)
Score spread across drafts (±)1.382.02
Lowest script score79.8 Script 477.5 Script 4
Highest script score83.0 Script 683.1 Script 6
Range across scripts3.25.6

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 GPT-5.6 Terra (ultra) minus Claude Opus 4.8 (max effort), and the higher score is in bold.

ScriptGPT-5.6 Terra (ultra)Claude Opus 4.8 (max effort)Gap
Script 1 opinion / warning explainer81.180.2+0.9
Script 2 news-analysis / skeptical explainer82.180.6+1.5
Script 3 personal roadmap / opinion82.579.3+3.2
Script 4 short explainer79.877.5+2.3
Script 5 news-analysis / opinion explainer82.280.3+1.9
Script 6 founder announcement / personal origin story83.083.1-0.1
Script 7 personal technical walkthrough / agentic workflow case study80.682.5-1.9
Script 8 product release announcement / personal observation80.382.5-2.2
Script 9 career guide / hiring analysis81.882.0-0.2
Script 10 engineering process walkthrough / presentation adaptation80.678.9+1.7

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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