Model Comparison
GLM-5.3 Flash vs DeepSeek V4 Pro 0813
GLM-5.3 Flash (max) leads DeepSeek V4 Pro 0813 (max) by 190 Elo, and their 95% ranges sit 104 Elo apart. Among 78 models, each ranked by its best configuration, GLM-5.3 Flash is #12 and DeepSeek V4 Pro 0813 is #21. Cost per script: $0.022 for GLM-5.3 Flash (max) and $0.077 for DeepSeek V4 Pro 0813 (max).
Last updated , from board data generated at 01:13 UTC.
Picks and Verdict
PickGLM-5.3 Flash
GLM-5.3 Flash (max)
Pick GLM-5.3 Flash (max) as the default, since it leads all nine metrics and sits 190 Elo higher for $0.022 a script.
PickDeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 (max)
Pick DeepSeek V4 Pro 0813 (max) if your pipeline already runs on DeepSeek, since it stays within about a point of GLM on substance for $0.077 a script.
Usually the stronger model costs more. On this page it costs less than a third as much. GLM-5.3 Flash's only setting makes it the #12 model of 78, and DeepSeek V4 Pro 0813's best makes it the #21 model. GLM-5.3 Flash (max) costs $0.022 a script, and DeepSeek V4 Pro 0813 (max) costs $0.077 and sits 190 Elo lower. Their 95% ranges sit 104 Elo apart, strong evidence for that order. GLM is faster too, 5.2 minutes against 8.9, and it leads all nine metrics. The widest gaps are length, 3.7 points, and YouTube Best Practices, 2.0. To be fair to DeepSeek, it stays within about a point on substance and visual cues, and its drafts are a little steadier than GLM's. GLM's floor is higher, though: its weakest script scores 80.3, above DeepSeek's 80.1 Writing Score across all ten. DeepSeek also leans hard on its thinking level. DeepSeek V4 Pro 0813 (high) sits 600 Elo under max, so max is the only setting I'd consider. With both models on open weights, I can't find a reason here to pay more and wait longer. GLM is my pick.
Disclosure: GLM-5.3 Flash comes from the same lab as one of the four judges, GLM 5.3 Flash. 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 GLM-5.3 Flash and DeepSeek V4 Pro 0813, 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 |
|---|---|---|---|---|---|---|---|
| GLM-5.3 Flash (max) | 2140 | 2093 to 2186 | 81.8 | $0.022 | 5.2 min | 37,224 | #23 |
| DeepSeek V4 Pro 0813 (max) | 1950 | 1906 to 1989 | 80.1 | $0.077 | 8.9 min | 31,573 | #40 |
| DeepSeek V4 Pro 0813 (high) | 1350 | 1272 to 1428 | 72.3 | $0.031 | 1.3 min | 8,879 | #81 |
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.
- Best Configurations Head to Head. GLM-5.3 Flash (max) leads DeepSeek V4 Pro 0813 (max) by 190 Elo, and their 95% ranges do not overlap (2093 to 2186 against 1906 to 1989), which is strong evidence for that order.
- Every GLM-5.3 Flash Configuration Ranks Higher. GLM-5.3 Flash (max), the only GLM-5.3 Flash configuration on the board, ranks above both DeepSeek V4 Pro 0813 configurations, including DeepSeek V4 Pro 0813 (max) at Elo 1950.
- Same Level Name, Side by Side. At max, the one level name both models use, GLM-5.3 Flash has the higher Writing Elo: 2140 against 1950. Their 95% ranges do not overlap there. Level names come from each provider, so the same name does not promise the same reasoning budget.
- Lowest to Highest Thinking Level. DeepSeek V4 Pro 0813 moves +600 Elo from high to max, at about 2.5 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
GLM-5.3 Flash (max) scores higher on all nine metrics. Weighted by each metric's share of the Writing Score, Tone & Voice Match does the most to put GLM-5.3 Flash (max) ahead, with a 1.7-point lead on that metric. The weight beside each metric is its share of the Writing Score.
Consistency Across Drafts
| GLM-5.3 Flash (max) | DeepSeek V4 Pro 0813 (max) | |
|---|---|---|
| Score spread across drafts (±) | 1.62 | 1.48 |
| Lowest script score | 80.3 Script 4 | 78.2 Script 10 |
| Highest script score | 83.8 Script 9 | 81.5 Script 6 |
| Range across scripts | 3.5 | 3.3 |
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 GLM-5.3 Flash (max) minus DeepSeek V4 Pro 0813 (max), and the higher score is in bold.
| Script | GLM-5.3 Flash (max) | DeepSeek V4 Pro 0813 (max) | Gap |
|---|---|---|---|
| Script 1 opinion / warning explainer | 81.1 | 79.5 | +1.6 |
| Script 2 news-analysis / skeptical explainer | 81.5 | 80.6 | +0.9 |
| Script 3 personal roadmap / opinion | 81.0 | 80.8 | +0.2 |
| Script 4 short explainer | 80.3 | 78.5 | +1.8 |
| Script 5 news-analysis / opinion explainer | 82.1 | 80.9 | +1.2 |
| Script 6 founder announcement / personal origin story | 82.9 | 81.5 | +1.4 |
| Script 7 personal technical walkthrough / agentic workflow case study | 83.5 | 81.1 | +2.4 |
| Script 8 product release announcement / personal observation | 80.8 | 80.2 | +0.6 |
| Script 9 career guide / hiring analysis | 83.8 | 79.9 | +3.9 |
| Script 10 engineering process walkthrough / presentation adaptation | 81.2 | 78.2 | +3.0 |
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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