Kimi K3 ranks #12 of 87 models on the November 2026 ToneBench board, and Kimi K3 (max) is its best configuration, #26 of 151 configurations, with a Writing Score of 82.2/100 and a Writing Elo of 2116. One script costs $0.362 at API list price.
Last updated , from board data generated at 17:52 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 87 modelsits best configuration is #26 of 151 configurations
Writing Score ?
82.2 out of 100
Writing Elo ?
2116 95% range 2076 to 2152
Cost per Script
$0.362 at API list price
Key Results
StandingKimi K3 ranks #12 of 87 models, and this is its best configuration. As a configuration, it is #26 of 151 configurations by Writing Elo (2116), in the upper third of the board. Its 95% range (2076 to 2152) overlaps 12 other configurations, ranked #17 to #29.
MetricsBest-ranked: Hook Strength (83.1, 13th of 151 configurations, +3.5 against the board median). Lowest-ranked: Substance, Accuracy & Value (83.5, 55th of 151 configurations, +1.7 against the board median).
ScriptsFrom 80.0 on Script 10 (engineering process walkthrough) to 83.8 on Script 9 (career guide): a 3.8-point spread across the 10 reference scripts.
ConsistencyIts Writing Score moves ± 1.7 between drafts of the same script, against ± 2.5 for the median configuration: steadier than most.
ValueGPT-6 Sol (medium) ranks higher with an overlapping Elo range and costs about $0.056 per script, against $0.362 per script for this one.
Louis's PickOf the two Kimi K3 settings, this is the one I'd use. If you're not tied to Kimi K3, Claude Opus 5.5 (high) ranks clearly higher for no more per script.
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 Hook Strength, its best-ranked metric, the judges rated its openings above the typical configuration's. 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 7 configurations that cost at least 50% more.
Among open-weight models, Kimi K3 is 2nd of 34. As a configuration, it is 2nd of 43 open-weight configurations. That is one of the strongest open-weight results on this board.
Lab
Moonshot (Kimi) 2nd of 3 modelsthis setting 2nd of 4 configurations
Weights
Open 2nd of 34 modelsthis setting 2nd of 43 configurations
Consistency
± 1.7 steadier than most
Average Tokens
34.8k input + output
Time per Script
9.9 min average, retries included
Highest-Ranked in This LabKimi K3.1 Pro (max) ranks highest of the Moonshot (Kimi) configurations by Writing Elo, with a Writing Score +0.3 against this configuration, for about 11 cents less per script. Their Elo ranges overlap.
Kimi K3 is also on the board at other effort settings, and none of them rank above this one. The thinking-level page for Kimi K3 charts how quality, cost and time change with the setting.
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.
Kimi K3 (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 151 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 · +4.7 vs median
board best 82.8 · Claude Opus 5.5 (max effort)78.7± 1.0 · 26thboard median 74.0
Writing Craft & Clarity ?13% weight · +3.8 vs median
board best 83.2 · Claude Opus 5.5 (xhigh)78.8± 0.9 · 23rdboard median 75.0
Substance, Accuracy & Value ?15% weight · +1.7 vs median
board best 88.4 · Claude Opus 5.5 (xhigh)83.5± 1.8 · 55thboard median 81.8
Continuity & Emotion ?14% weight · +4.7 vs median
board best 85.7 · Claude Opus 5.5 (max effort)82.3± 1.1 · 19thboard median 77.5
YouTube Best Practices ?12% weight · +4.9 vs median
board best 84.5 · Claude Fable 5.2 (max effort)81.2± 2.7 · 20thboard median 76.4
Hook Strength ?10% weight · +3.5 vs median
board best 84.0 · Claude Fable 5.2 (xhigh)83.1± 2.2 · 13thboard median 79.6
Length Adherence ?8% weight · +9.5 vs median
board best 99.0 · Claude Fable 5.2 (xhigh)94.2± 4.8 · 28thboard median 84.8
Slop Score ?5% weight · +2.2 vs median
board best 89.0 · GPT-6 Sol (medium)83.4± 1.3 · 55thboard median 81.3
Visual Cue Quality ?4% weight · +5.2 vs median
board best 85.9 · Claude Opus 5.5 (max effort)80.0± 2.4 · 36thboard median 74.8
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
81.4
out of 100
28th of 151 configurations on this script · board median 77.2
Script 2
news-analysis / skeptical explainer
82.6
out of 100
23rd of 151 configurations on this script · board median 78.4
Script 3
personal roadmap / opinion
81.8
out of 100
30th of 151 configurations on this script · board median 77.2
Script 4
short explainer
80.1
out of 100
37th of 151 configurations on this script · board median 75.7
Script 5
news-analysis / opinion explainer
83.4
out of 100
15th of 151 configurations on this script · board median 78.0
Script 6
founder announcement / personal origin story
83.2
out of 100
20th of 151 configurations on this script · board median 79.2
Script 7
personal technical walkthrough / agentic workflow case study
83.6
out of 100
18th of 151 configurations on this script · board median 77.9
Script 8
product release announcement / personal observation
82.3
out of 100
25th of 151 configurations on this script · board median 79.0
Script 9
career guide / hiring analysis
83.8
out of 100
30th of 151 configurations on this script · board median 79.3
Script 10
engineering process walkthrough / presentation adaptation
80.0
out of 100
32nd of 151 configurations on this script · board median 75.0
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 Tone & Voice Match: ± 1.0 between drafts against ± 1.9.
Consistency by Metric
Metric
This model
Board median
Verdict
Tone & Voice Match ?
78.7 ± 1.0
± 1.9
steadier than most
Writing Craft & Clarity ?
78.8 ± 0.9
± 1.5
typical
Substance, Accuracy & Value ?
83.5 ± 1.8
± 2.1
typical
Continuity & Emotion ?
82.3 ± 1.1
± 1.5
typical
YouTube Best Practices ?
81.2 ± 2.7
± 2.4
typical
Hook Strength ?
83.1 ± 2.2
± 2.7
typical
Length Adherence ?
94.2 ± 4.8
± 6.6
typical
Slop Score ?
83.4 ± 1.3
± 1.6
typical
Visual Cue Quality ?
80.0 ± 2.4
± 2.9
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
9.9 minabout 7x the board median of 1.5 min
Prompt tokens in
13.3kstyle guide + brief + research packet
Tokens Out
21.4kwell above the board median, so a lot of thinking
Cost per Script
$0.362measured from actual billed tokens; varies ± 0.116 between drafts
List Price Used
$3 / $15input / 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 82.2 combines their scores with the parts computed in code (Length Adherence and half of the Slop Score). The highest and lowest judge are 12.0 points apart on its Writing Score. That is close to the board median of 13.4. 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
79.7
+11.1 against its board average of 68.7
GLM 5.3 Flash
Z.ai
89.7
+6.9 against its board average of 82.9
GPT-6.1 Sol (medium)
OpenAI
77.7
+5.8 against its board average of 71.9
Jev 1.13
TypeSafe
81.7
+7.7 against its board average of 74.0
Evaluation Setup
How this exact configuration was run and judged: route, model ID, dates, sampling and prompt.
Exact model / route idmoonshotai/kimi-k3 (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 Kimi K3 (max) at Writing?
Kimi K3 ranks #12 of 87 models on ToneBench, and this is its best configuration. This configuration is #26 of 151 configurations, in the upper third of the board, with a Writing Elo of 2116 and a Writing Score of 82.2/100. 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 Kimi K3 (max) the Best Moonshot (Kimi) Model for Writing?
Not quite. Kimi K3 is 2nd of 3 Moonshot (Kimi) models. The top one is Kimi K3.1 Pro, through Kimi K3.1 Pro (max), about 34 Elo ahead of this setting, inside the overlap of their Elo ranges.
Is Kimi K3 (max) Good Value for the Money?
It costs about $0.362 per script. GPT-6 Sol (medium) ranks higher with an overlapping Elo range and costs less.
What Are the Strengths and Weaknesses of Kimi K3 (max)?
Its best-ranked metric is Hook Strength (83.1, 13th of 151 configurations, +3.5 against the board median), and its lowest-ranked is Substance, Accuracy & Value (83.5, 55th of 151, +1.7). 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 Kimi K3 (max) Evaluated?
It was run through OpenRouter, with the exact model/route ID moonshotai/kimi-k3, 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 Kimi K3 (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 2nd of 43 for writing.