Model Comparison
GPT-6 Sol vs GLM-5.3 Flash
GPT-6 Sol (max) leads GLM-5.3 Flash (max) by 239 Elo, and their 95% ranges sit 149 Elo apart. Among 78 models, each ranked by its best configuration, GPT-6 Sol is #4 and GLM-5.3 Flash is #12. Cost per script: $0.126 for GPT-6 Sol (max) and $0.022 for GLM-5.3 Flash (max).
Last updated , from board data generated at 01:13 UTC.
Picks and Verdict
PickGPT-6 Sol
GPT-6 Sol (max)
Pick GPT-6 Sol (max) for the stronger script, 239 Elo ahead of GLM-5.3 Flash (max) with separate ranges for $0.126.
PickGLM-5.3 Flash
GLM-5.3 Flash (max)
Pick GLM-5.3 Flash (max) for volume, since at $0.022 a script the board can't separate it from GPT-6 Sol (medium) and it has the best Length Adherence on this page.
Both models are cheap here, so I'd decide on the writing, and GPT-6 Sol takes it. GPT-6 Sol is the #4 model of 78 and GLM-5.3 Flash the #12 model: GPT-6 Sol (max) sits at 2379 Elo, GLM-5.3 Flash (max) at 2140, and their 95% ranges don't overlap. Drop Sol to medium and the two get closer. GPT-6 Sol (medium) rates 83 Elo above GLM with ranges that barely overlap, so the board can't separate those two, and it costs $0.056 against $0.022 while coming back in under a minute where GLM takes five. The step from Sol's medium to max is the one I'd pay for: 156 Elo with separate ranges, for seven cents more a script. Sol's lead is content, about five points on substance and more than five on the Slop Score. GLM-5.3 Flash is better on length, about four points up on Length Adherence, and level with Sol at max on YouTube Best Practices. At $0.022 a script, it's a serious option for volume. For a script I'd record, I'd spend the extra ten cents on Sol at max.
Disclosure: GPT-6 Sol and GLM-5.3 Flash each come from the same lab as one of the judges (GPT-6.1 Sol and GLM 5.3 Flash). 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-6 Sol and GLM-5.3 Flash, scored on the same 10 scripts by the same four judges.
- 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).
Shaded rows are the configurations chosen for the metric comparison below.
| Configuration | Writing Elo | 95% Range | Writing Score | Cost / Script | Time / Script | Reasoning Tokens | Configuration Rank |
|---|---|---|---|---|---|---|---|
| GPT-6 Sol (max) | 2379 | 2335 to 2424 | 83.5 | $0.126 | 2.5 min | N/A | #8 |
| GPT-6 Sol (medium) | 2223 | 2180 to 2265 | 82.5 | $0.056 | 0.8 min | N/A | #14 |
| GLM-5.3 Flash (max) | 2140 | 2093 to 2186 | 81.8 | $0.022 | 5.2 min | 37,224 | #23 |
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.
- Best Configurations Head to Head. GPT-6 Sol (max) leads GLM-5.3 Flash (max) by 239 Elo, and their 95% ranges do not overlap (2335 to 2424 against 2093 to 2186), which is strong evidence for that order.
- Same Level Name, Side by Side. At max, the one level name both models use, GPT-6 Sol has the higher Writing Elo: 2379 against 2140. Their 95% ranges do not overlap there. Level names come from each provider, so the same name does not promise the same reasoning budget.
- Cheapest GPT-6 Sol Configuration Above GLM-5.3 Flash's Best. The cheapest GPT-6 Sol configuration with a higher Writing Elo than GLM-5.3 Flash (max), at Elo 2140 and $0.022 per script, is GPT-6 Sol (medium), at Elo 2223 and $0.056 per script. Their 95% ranges overlap, so the board cannot separate them. It costs about 2.5 times as much per script.
- Lowest to Highest Thinking Level. GPT-6 Sol moves +156 Elo from medium to max, at about 2.3 times the cost per script.
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 Sol (max) scores higher on seven of the nine metrics and GLM-5.3 Flash (max) on two. Weighted by each metric's share of the Writing Score, Substance, Accuracy & Value does the most to put GPT-6 Sol (max) ahead, with a 5.1-point lead on that metric. The weight beside each metric is its share of the Writing Score.
Consistency Across Drafts
| GPT-6 Sol (max) | GLM-5.3 Flash (max) | |
|---|---|---|
| Score spread across drafts (±) | 1.27 | 1.62 |
| Lowest script score | 82.0 Script 10 | 80.3 Script 4 |
| Highest script score | 85.3 Script 9 | 83.8 Script 9 |
| Range across scripts | 3.3 | 3.5 |
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 Sol (max) minus GLM-5.3 Flash (max), and the higher score is in bold.
| Script | GPT-6 Sol (max) | GLM-5.3 Flash (max) | Gap |
|---|---|---|---|
| Script 1 opinion / warning explainer | 83.0 | 81.1 | +1.9 |
| Script 2 news-analysis / skeptical explainer | 83.7 | 81.5 | +2.2 |
| Script 3 personal roadmap / opinion | 84.3 | 81.0 | +3.3 |
| Script 4 short explainer | 83.3 | 80.3 | +3.0 |
| Script 5 news-analysis / opinion explainer | 83.4 | 82.1 | +1.3 |
| Script 6 founder announcement / personal origin story | 84.8 | 82.9 | +1.9 |
| Script 7 personal technical walkthrough / agentic workflow case study | 82.7 | 83.5 | -0.8 |
| Script 8 product release announcement / personal observation | 82.8 | 80.8 | +2.0 |
| Script 9 career guide / hiring analysis | 85.3 | 83.8 | +1.5 |
| Script 10 engineering process walkthrough / presentation adaptation | 82.0 | 81.2 | +0.8 |
Scorecards and Thinking Pages
Each configuration name in the table above opens its own scorecard.
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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