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Model Comparison

GPT-6.1 Terra vs Grok 4.6

Overlapping ranges: the best configurations, GPT-6.1 Terra (max) and Grok 4.6 (high), are 1 Elo apart, and their 95% ranges overlap. Among 87 models, each ranked by its best configuration, GPT-6.1 Terra is #23 and Grok 4.6 is #24. Cost per script: $0.079 for GPT-6.1 Terra (max) and $0.156 for Grok 4.6 (high).

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

GPT-6.1 Terra
1884 Writing Elo of GPT-6.1 Terra (max), its best configuration#23 of 87 models · 80.3/100 Writing Score · $0.079 per script5 configurations on the board
Grok 4.6
1883 Writing Elo of Grok 4.6 (high), its best configuration#24 of 87 models · 80.3/100 Writing Score · $0.156 per script1 configuration on the board

Picks and Verdict

PickGPT-6.1 Terra

GPT-6.1 Terra (low)

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

PickGrok 4.6

Grok 4.6 (high)

Pick Grok 4.6 (high) when the voice has to land in the first draft, since it leads Terra at low by 3.5 points on Tone & Voice Match at $0.156 a script.

These two have overlapping individual Elo ranges, and I'd choose on price, speed and what you'd rather fix by hand. GPT-6.1 Terra (max) sits 1 Elo above Grok 4.6 (high), Grok's only setting, and Grok sits 5 above GPT-6.1 Terra (low), with overlapping 95% ranges each time, though that alone does not test either gap: the #23 model of 87 against the #24 model. Terra's five settings sit within 37 Elo of each other, and low, the cheapest, is the one I would use. At low Terra costs $0.027 a script and answers in 0.5 minutes. Grok costs $0.156, almost six times as much, and thinks through 18,588 reasoning tokens over 5.2 minutes. Terra writes the cleaner sentences: 4.7 points up on craft and 7.1 on slop. Grok sounds more like me, 3.5 points up on tone, the metric with the most weight, and leads YouTube structure by 3.6. Grok scores higher on seven of the ten scripts against Terra at low. For most drafts I'd run Terra at low and fix the voice myself. When the voice has to be right in the first draft, Grok is worth the wait.

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 GPT-6.1 Terra and Grok 4.6, 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).
GPT-6.1 TerraGrok 4.6
ConfigurationWriting Elo95% RangeWriting ScoreCost / ScriptTime / ScriptReasoning TokensConfiguration Rank
GPT-6.1 Terra (max)18841849 to 191980.3$0.0791.8 minN/A#46
Grok 4.6 (high)18831836 to 193080.3$0.1565.2 min18,588#47
GPT-6.1 Terra (high)18801841 to 191780.3$0.0270.5 minN/A#49
GPT-6.1 Terra (low)18781831 to 192180.2$0.0270.5 minN/A#50
GPT-6.1 Terra (xhigh)18601819 to 189880.1$0.0280.5 minN/A#53
GPT-6.1 Terra (medium)18471805 to 189579.9$0.0270.5 minN/A#55

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.

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-6.1 Terra (max)Grok 4.6 (high)Solid bar: higher score in that row

GPT-6.1 Terra (max) scores higher on six of the nine metrics and Grok 4.6 (high) on three. The weight beside each metric is its share of the Writing Score.

Tone & Voice Match19% weight
74.0
78.8
Writing Craft & Clarity13% weight
78.3
74.0
Substance, Accuracy & Value15% weight
85.8
85.0
Continuity & Emotion14% weight
77.5
79.0
YouTube Best Practices12% weight
76.3
79.9
Hook Strength10% weight
80.6
79.3
Length Adherence8% weight
94.2
90.7
Slop Score5% weight
88.1
80.9
Visual Cue Quality4% weight
80.2
77.1

Consistency Across Drafts

GPT-6.1 Terra (max)Grok 4.6 (high)
Score spread across drafts (±)1.681.82
Lowest script score77.9 Script 1078.5 Script 3
Highest script score83.2 Script 982.8 Script 6
Range across scripts5.34.3

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 GPT-6.1 Terra (max) minus Grok 4.6 (high), and the higher score is in bold.

ScriptGPT-6.1 Terra (max)Grok 4.6 (high)Gap
Script 1 opinion / warning explainer80.281.6-1.4
Script 2 news-analysis / skeptical explainer80.780.8-0.1
Script 3 personal roadmap / opinion80.478.5+1.9
Script 4 short explainer79.680.2-0.6
Script 5 news-analysis / opinion explainer80.181.1-1.0
Script 6 founder announcement / personal origin story82.282.8-0.6
Script 7 personal technical walkthrough / agentic workflow case study79.979.0+0.9
Script 8 product release announcement / personal observation79.179.7-0.6
Script 9 career guide / hiring analysis83.280.4+2.8
Script 10 engineering process walkthrough / presentation adaptation77.979.1-1.2

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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