GLM-5.3 Flash ranks #12 of 81 models on the October 2026 ToneBench board, and GLM-5.3 Flash (max) is its only configuration, #23 of 134 configurations, with a Writing Score of 81.8/100 and a Writing Elo of 2119. One script costs $0.022 at API list price.
Last updated , from board data generated at 16:59 UTC.
Rank, scores, the nine metrics, the 10 reference scripts, cost and setup for one
configuration (a model at one reasoning setting). Key Results sums it up; the section links below it jump to the detail.
Model Rank ?
#12 of 81 modelsits only configuration is #23 of 134 configurations
Writing Score ?
81.8 out of 100
Writing Elo ?
2119 95% range 2073 to 2163
Cost per Script
$0.022 at API list price
Key Results
StandingGLM-5.3 Flash ranks #12 of 81 models, and this is its only configuration on the board. As a configuration, it is #23 of 134 configurations by Writing Elo (2119), in the upper third of the board. Its 95% range (2073 to 2163) overlaps 14 other configurations, ranked #13 to #27, so its exact place among them is not settled.
MetricsBest-ranked: Length Adherence (97.1, 10th of 134 configurations, +13.9 against the board median). Lowest-ranked: Substance, Accuracy & Value (82.8, 49th of 134 configurations, +1.9 against the board median).
ScriptsFrom 80.3 on Script 4 (short explainer) to 83.8 on Script 9 (career guide): a 3.5-point spread across the 10 reference scripts.
ConsistencyIts Writing Score moves ± 1.6 between drafts of the same script, against ± 2.8 for the median configuration: steadier than most.
ValueNo configuration at least 15% cheaper ranks higher. It costs $0.022 per script. The strongest option at least 15% cheaper is DeepSeek V4.1 Flash 1017 (max), configuration #24, 32 Elo behind, at $0.014 per script; their Elo ranges overlap.
Judge SeatDisclosure: the GLM-5.3 Flash line also holds one of the four judge seats. The other three judges come from other labs, so no lab scores itself alone (how the panel works).
Louis's PickAt its price it holds up: nothing that costs the same or less ranks clearly higher.
More Context Behind These Results
Writing Elo comes from comparing its average on each script with every other configuration's average on that same script; a gap smaller than the draft-to-draft variation counts as a draw (what the ranges can and cannot show).
On Length Adherence, its best-ranked metric, its drafts land near the target length, so they need less trimming or padding. Even its lowest-ranked metric, Substance, Accuracy & Value, ranks in the top half of the board, so no metric stands out as a weak spot.
The script format moves its score. If most of your scripts look like its best or weakest format, that result is a better guide than the average.
Its drafts vary little, so the first draft is usually close to the next one.
It outranks 65 configurations that cost at least 50% more.
Among open-weight models, GLM-5.3 Flash is 3rd of 34. As a configuration, it is 3rd of 43 open-weight configurations. That is one of the strongest open-weight results on this board.
Lab
Zhipu (GLM) 2nd of 7 modelsthis setting 2nd of 7 configurations
Weights
Open 3rd of 34 modelsthis setting 3rd of 43 configurations
Consistency
± 1.6 steadier than most
Average Tokens
53.7k input + output
Time per Script
5.2 min average, retries included
Highest-Ranked in This LabGLM-5.3 (max) ranks highest of the Zhipu (GLM) configurations by Writing Elo, with a Writing Score +0.6 against this configuration, for about 22 cents more per script. Their Elo ranges overlap, so the order between them is not settled.
Each corner is one metric on a 0 to 100 scale; the further out, the higher the score. A corner outside the dashed line beats the board median. Hover or tap a point for its exact score, and a metric name for what it rewards.
GLM-5.3 Flash (max)Board medianBoard best per metricMax possible (100)
Scores by Metric
Nine metrics, each scored 0 to 100 and weighted into the Writing Score; the weight sits under each name. Rank is out of all 134 ranked configurations.
Score colors:Strong: 82 and upMiddle: 65 to 81.9Weak: under 65
This modelBoard best (upper line)Board median (lower line)±: spread between drafts?: what the metric rewards
Tone & Voice Match ?19% weight · +4.5 vs median
board best 82.8 · Claude Opus 5.5 (max effort)78.0± 1.8 · 33rdboard median 73.5
Writing Craft & Clarity ?13% weight · +4.3 vs median
board best 83.2 · Claude Opus 5.5 (xhigh)78.3± 1.2 · 24thboard median 74.0
Substance, Accuracy & Value ?15% weight · +1.9 vs median
board best 88.4 · Claude Opus 5.5 (xhigh)82.8± 2.1 · 49thboard median 80.8
Continuity & Emotion ?14% weight · +4.1 vs median
board best 85.7 · Claude Opus 5.5 (max effort)81.3± 1.5 · 22ndboard median 77.2
YouTube Best Practices ?12% weight · +5.6 vs median
board best 84.4 · Claude Opus 5.5 (xhigh)80.9± 2.4 · 16thboard median 75.3
Hook Strength ?10% weight · +3.5 vs median
board best 83.7 · Claude Opus 5.5 (max effort)82.8± 1.7 · 13thboard median 79.2
Length Adherence ?8% weight · +13.9 vs median
board best 98.8 · Claude Sonnet 5.5 (max effort)97.1± 1.7 · 10thboard median 83.2
Slop Score ?5% weight · +2.4 vs median
board best 89.0 · GPT-6 Sol (medium)83.1± 1.6 · 49thboard median 80.7
Visual Cue Quality ?4% weight · +3.8 vs median
board best 85.9 · Claude Opus 5.5 (max effort)78.0± 2.1 · 42ndboard median 74.2
Scores by Reference Script
Every ranked configuration writes five drafts for each of the same 10 briefs, and each score is the mean of those drafts. The rank and board median compare it with every configuration on that script, which separates a weak result from a hard script. The result on the format closest to your own work is the most relevant.
Script 1
opinion / warning explainer
81.1
out of 100
25th of 134 configurations on this script · board median 76.4
Script 2
news-analysis / skeptical explainer
81.5
out of 100
27th of 134 configurations on this script · board median 77.6
Script 3
personal roadmap / opinion
81.0
out of 100
32nd of 134 configurations on this script · board median 76.1
Script 4
short explainer
80.3
out of 100
26th of 134 configurations on this script · board median 74.5
Script 5
news-analysis / opinion explainer
82.1
out of 100
23rd of 134 configurations on this script · board median 77.1
Script 6
founder announcement / personal origin story
82.9
out of 100
21st of 134 configurations on this script · board median 78.9
Script 7
personal technical walkthrough / agentic workflow case study
83.5
out of 100
15th of 134 configurations on this script · board median 77.0
Script 8
product release announcement / personal observation
80.8
out of 100
37th of 134 configurations on this script · board median 78.3
Script 9
career guide / hiring analysis
83.8
out of 100
22nd of 134 configurations on this script · board median 78.5
Script 10
engineering process walkthrough / presentation adaptation
81.2
out of 100
15th of 134 configurations on this script · board median 73.6
Consistency Between Drafts
Every score on this page is the mean of 5 drafts per script. The ± is the standard deviation between those drafts: the larger it is, the more two drafts of the same script can differ.
Compared with the typical model, it's steadiest on Length Adherence: ± 1.7 between drafts against ± 7.0.
Consistency by Metric
Metric
This model
Board median
Verdict
Tone & Voice Match ?
78.0 ± 1.8
± 2.0
typical
Writing Craft & Clarity ?
78.3 ± 1.2
± 1.6
typical
Substance, Accuracy & Value ?
82.8 ± 2.1
± 2.3
typical
Continuity & Emotion ?
81.3 ± 1.5
± 1.5
typical
YouTube Best Practices ?
80.9 ± 2.4
± 2.5
typical
Hook Strength ?
82.8 ± 1.7
± 2.8
steadier than most
Length Adherence ?
97.1 ± 1.7
± 7.0
steadier than most
Slop Score ?
83.1 ± 1.6
± 1.6
typical
Visual Cue Quality ?
78.0 ± 2.1
± 3.0
typical
Cost, Time and Tokens per Script
Logged on every run; none of these figures affects the Writing Score. Time is the average time to one accepted script, retries included. Cost is one script at the API list price.
Time per Script
5.2 minabout 3x the board median of 1.5 min
Prompt tokens in
13.4kstyle guide + brief + research packet
Tokens Out
40.3kwell above the board median, so a lot of thinking
Cost per Script
$0.022measured from actual billed tokens; varies ± 0.006 between drafts
List Price Used
$0.15 / $0.5input / output, per million tokens
Scores by Judge
Four judges score the same 50 stored drafts blind against the same rubric: three LLM judges from three labs, plus Jev, a typed judge from TypeSafe that rates each metric on five described quality levels. No single judge's taste decides the result. The Writing Score of 81.8 combines their scores with the parts computed in code (Length Adherence and half of the Slop Score). The highest and lowest judge are 12.7 points apart on its Writing Score. That is close to the board median of 13.7. Each judge also has its own scale, so every card shows that judge's score against its average across the board. How the panel works.
Claude Opus 5.5 (medium)
Anthropic
78.5
+10.9 against its board average of 67.6
GLM 5.3 Flash
Z.ai
90.0
+7.9 against its board average of 82.2
GPT-6.1 Sol (medium)
OpenAI
77.4
+6.6 against its board average of 70.8
Jev 1.13
TypeSafe
81.3
+7.9 against its board average of 73.5
Evaluation Setup
How this exact configuration was run and judged: route, model ID, dates, sampling and prompt.
Exact model / route idz-ai/glm-5.3-flash (the request sets no level; the provider applies max).
Generations5 independent runs × 10 scripts = 50 drafts, stored after generation and never edited.
Run dates2026-10-08.
JudgesClaude 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 from TypeSafe. One call per judge per draft. All four score every draft on their own, blind to which model wrote it. The three LLM judges use the identical rubric and have to quote evidence before they score a metric. Jev answers the same rubric as one question per metric, choosing among five described quality levels, and writes no text. Seven metrics are the plain average of the four judges. Length is computed from the spoken word count, and Slop is half computed (lexical scans minus the spoken-dash penalty) and half judged. The Writing Elo is cross-checked with a Bradley-Terry fit of the same pairwise results (methodology).
Sampling and promptThe provider's default sampling, with no fine-tuning and no system-prompt changes. Every current-ranked model gets the same prompt, about 13,000 tokens (the count shifts a bit with each model's tokenizer): a style guide built from Louis's voice and storytelling guides, the target length, and the brief with its research packet. Generation is closed-book on every route: the prompt is the only source, with no web search, browsing, code execution, file access or other tool (generation).
What stays privateThe exact rubric and any non-public reference material. Each script is normally benchmarked before its video is published, which lowers the odds that a model has seen the reference, though it does not rule it out (why).
Frequently Asked Questions
How Good Is GLM-5.3 Flash (max) at Writing?
GLM-5.3 Flash ranks #12 of 81 models on ToneBench, and this is its only configuration on the board. This configuration is #23 of 134 configurations, in the upper third of the board, with a Writing Elo of 2119 and a Writing Score of 81.8/100. The ranks come from full YouTube scripts written in the voice of Louis-François Bouchard and judged blind, with the channel's finished script as the reference. The benchmark measures long-form scripted writing, so the result does not carry over to every kind of text.
Is GLM-5.3 Flash (max) the Best Zhipu (GLM) Model for Writing?
Not quite. GLM-5.3 Flash is 2nd of 7 Zhipu (GLM) models. The top one is GLM-5.3, through GLM-5.3 (max), about 75 Elo ahead of this setting, inside the overlap of their Elo ranges.
Is GLM-5.3 Flash (max) Good Value for the Money?
It costs about $0.022 per script. That is good value: no configuration at least 15% cheaper ranks higher.
What Are the Strengths and Weaknesses of GLM-5.3 Flash (max)?
Its best-ranked metric is Length Adherence (97.1, 10th of 134 configurations, +13.9 against the board median), and its lowest-ranked is Substance, Accuracy & Value (82.8, 49th of 134, +1.9). Even that one ranks in the top half of the board. The Scores by Metric section shows the board median and the board's best for each one.
How Was GLM-5.3 Flash (max) Evaluated?
It was run through OpenRouter, with the exact model/route ID z-ai/glm-5.3-flash, first run on 2026-10-08. It wrote each script 5 times with the provider's default sampling and no fine-tuning. The Evaluation Setup section and the methodology page have the details.
Does GLM-5.3 Flash (max) Have Open Weights?
Yes. Its weights are public, so it can be downloaded and run on your own hardware. Check the license if you need open source in the strict sense. Among open-weight configurations it is 3rd of 43 for writing.