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Model Comparison

GPT-6.1 Sol vs DeepSeek V4.1 Flash

GPT-6.1 Sol (max) leads DeepSeek V4.1 Flash (max) by 174 Elo, and their 95% ranges sit 108 Elo apart. Among 78 models, each ranked by its best configuration, GPT-6.1 Sol is #9 and DeepSeek V4.1 Flash is #14. Cost per script: $0.239 for GPT-6.1 Sol (max) and $0.017 for DeepSeek V4.1 Flash (max).

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

GPT-6.1 Sol
2214 Writing Elo of GPT-6.1 Sol (max), its best configuration#9 of 78 models · 82.4/100 Writing Score · $0.239 per script5 configurations on the board
DeepSeek V4.1 Flash
2040 Writing Elo of DeepSeek V4.1 Flash (max), its best configuration#14 of 78 models · 81.0/100 Writing Score · $0.017 per script4 configurations on the board

Picks and Verdict

PickGPT-6.1 Sol

GPT-6.1 Sol (xhigh)

Pick GPT-6.1 Sol (xhigh) for fact-heavy scripts, since its range overlaps max and it costs $0.199 instead of $0.239.

PickDeepSeek V4.1 Flash

DeepSeek V4.1 Flash (max)

Pick DeepSeek V4.1 Flash (max) for everyday drafts, because the board can't separate Sol's low, medium and high settings from it and it costs $0.017 a script.

Three of the five GPT-6.1 Sol settings can't be separated from DeepSeek V4.1 Flash (max), which costs $0.017 a script. Sol at low, medium and high all land within 59 Elo of DeepSeek's best with overlapping 95% ranges, and they cost at least three times as much. Sol only clears DeepSeek at xhigh and max. GPT-6.1 Sol (max) is 174 Elo ahead with ranges that don't overlap, which is strong evidence for that order: the #9 model of 78 against the #14 model, each ranked by its best setting. The lead comes from substance, about five points, plus a cleaner slop score and better visual cues. DeepSeek matches Sol at max on tone and leads on YouTube structure, so the voice is close, and it writes the steadiest drafts on this page. Sol at max costs $0.239 and about ten minutes, fourteen times DeepSeek's price and more than four times its wait. DeepSeek gains 402 Elo from no thinking to max and still costs under two cents. I'd run Sol at xhigh for a script that has to get the facts right, and DeepSeek at max for everything else.

Disclosure: GPT-6.1 Sol 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 Sol and DeepSeek V4.1 Flash, 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-6.1 SolDeepSeek V4.1 Flash
ConfigurationWriting Elo95% RangeWriting ScoreCost / ScriptTime / ScriptReasoning TokensConfiguration Rank
GPT-6.1 Sol (max)22142184 to 224882.4$0.23910.2 minN/A#17
GPT-6.1 Sol (xhigh)22092161 to 225682.4$0.1997.8 minN/A#19
GPT-6.1 Sol (low)20992062 to 213381.4$0.0521.5 minN/A#24
GPT-6.1 Sol (high)20552018 to 209481.1$0.0943.3 minN/A#26
DeepSeek V4.1 Flash (max)20401999 to 207681.0$0.0172.4 min22,010#28
GPT-6.1 Sol (medium)20331995 to 207181.0$0.0541.6 minN/A#29
DeepSeek V4.1 Flash (high)19711925 to 201080.3$0.0121.1 min13,809#38
DeepSeek V4.1 Flash (low)18561815 to 190679.3$0.00770.7 min6,740#46
DeepSeek V4.1 Flash (no thinking)16381588 to 168076.8$0.00370.3 min0#61

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. Where two 95% ranges overlap, the board cannot order those two configurations.

Writing Elo at Each Shared Level Name

LevelGPT-6.1 SolDeepSeek V4.1 FlashGap95% Ranges
low20991856+243Separate
high20551971+84Separate
max22142040+174Separate

Gap is GPT-6.1 Sol minus DeepSeek V4.1 Flash 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

GPT-6.1 Sol (max)DeepSeek V4.1 Flash (max)Solid bar: higher score in that row

GPT-6.1 Sol (max) scores higher on six of the nine metrics and DeepSeek V4.1 Flash (max) on two, with one tie. Weighted by each metric's share of the Writing Score, Substance, Accuracy & Value does the most to put GPT-6.1 Sol (max) ahead, with a 4.8-point lead on that metric. The weight beside each metric is its share of the Writing Score.

Tone & Voice Match19% weight
78.1
78.1
Writing Craft & Clarity13% weight
78.1
78.0
Substance, Accuracy & Value15% weight
87.3
82.5
Continuity & Emotion14% weight
79.2
80.1
YouTube Best Practices12% weight
78.6
79.8
Hook Strength10% weight
82.8
80.1
Length Adherence8% weight
98.0
95.9
Slop Score5% weight
88.2
83.2
Visual Cue Quality4% weight
83.0
76.0

Consistency Across Drafts

GPT-6.1 Sol (max)DeepSeek V4.1 Flash (max)
Score spread across drafts (±)1.401.30
Lowest script score80.6 Script 1079.7 Script 10
Highest script score85.0 Script 982.4 Script 7
Range across scripts4.42.7

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 Sol (max) minus DeepSeek V4.1 Flash (max), and the higher score is in bold.

ScriptGPT-6.1 Sol (max)DeepSeek V4.1 Flash (max)Gap
Script 1 opinion / warning explainer81.780.8+0.9
Script 2 news-analysis / skeptical explainer82.581.2+1.3
Script 3 personal roadmap / opinion83.681.2+2.4
Script 4 short explainer82.580.1+2.4
Script 5 news-analysis / opinion explainer82.081.1+0.9
Script 6 founder announcement / personal origin story83.380.8+2.5
Script 7 personal technical walkthrough / agentic workflow case study82.282.4-0.2
Script 8 product release announcement / personal observation81.080.7+0.3
Script 9 career guide / hiring analysis85.082.2+2.8
Script 10 engineering process walkthrough / presentation adaptation80.679.7+0.9

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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