Towards AITowards AIToneBench

Claude Sonnet 4.6

Anthropic · proprietary · writing benchmark

#41 of 130 Elo 1828 Overall 83.5 Proprietary
Rank
#41 of 130
Writing Elo
1828 ±51
Overall
83.5 / 100
Cost / task
$0.072 per script
Family
Anthropic 19th of 21
Type
Closed 37th of 83
Consistency
± 2.5 steadier than most
Avg tokens
13.9k in+out
Latency
302s per call
Family check:Claude Opus 5 (max effort) is Anthropic's best writer here, +7.3 overall vs this config for $0.048 more per script.

The short version

Claude Sonnet 4.6 sits at #41 of 130 on ToneBench, in the middle of the pack, with a writing Elo of 1828 and an overall score of 83.5 out of 100. We measured it by having it write all 9 of our real YouTube scripts, five times each, then scoring every draft blind against our own finished versions. Here is how it shook out.

Within Anthropic it ranks 19th of 21. Claude Opus 5 (max effort) is the family's top writer here, about 821 Elo ahead, so this config trades some quality for whatever it saves you in cost or speed.

Among proprietary models, it comes in 37th of 83. That ranking is against the stronger half of the board: closed models still set the pace on voice fidelity here.

What it does best is Length Discipline: it ranks 23rd on that dimension at 88.0, well above the board average. Its softer spot is Hook (84.0, 62nd), which is the thing to watch if that metric matters most for your use.

It was uneven across the 9 scripts. Its best run was the product release announcement / personal observation (86.6) and its weakest was the personal technical walkthrough / agentic workflow case study (80.2), a spread of about 6 points. Worth knowing if your writing skews toward one of those formats.

On cost, it runs about $0.072/task. DeepSeek V4 Flash 0731 scores higher for less money, at $0.005/task, so on pure value this config is not the frontier. Still, it beats 7 models that cost noticeably more.

Skill profile

The shape is the story: the further a corner reaches, the stronger that dimension. Biggest edge over the board: Length Discipline (+20.8); smallest edge: Anti-Slop (+3.1).

50Tone?Craft?Substance?Flow?YouTube?Hook?Length?Anti-Slop?Cues?
Claude Sonnet 4.6Board averageBoard best per metricMax possible (100)

Per-metric scores

Nine writing dimensions, each scored 0–100 and blended by the editorial weight shown. Rank is against all 130 current-ranked models. The thick bar is this model; the thin lines above and below are the current field's best model (darker) and average (lighter) on the same scale. The small ± number is its run-to-run variation.

Tone & Voice ?19% weight · +4.9 vs avg
best · Claude Opus 5 (max effort) · 91.283.2± 1.8 · 56thboard avg · 78.3
Writing Craft ?13% weight · +5.6 vs avg
best · Claude Opus 5 (max effort) · 91.184.5± 1.5 · 48thboard avg · 78.9
Substance & Value ?15% weight · +6.0 vs avg
best · Claude Opus 5 (max effort) · 90.684.7± 1.9 · 48thboard avg · 78.7
Flow & Emotion ?14% weight · +6.8 vs avg
best · Claude Opus 5 (max effort) · 90.481.2± 1.8 · 42ndboard avg · 74.4
YouTube Structure ?12% weight · +6.2 vs avg
best · Claude Opus 5 (max effort) · 89.679.5± 2.9 · 55thboard avg · 73.3
Hook ?10% weight · +3.8 vs avg
best · Claude Opus 5 (max effort) · 92.084.0± 3.3 · 62ndboard avg · 80.2
Length Discipline ?8% weight · +20.8 vs avg
best · GPT-5.6 Sol (ultra) · 94.388.0± 6.1 · 23rdboard avg · 67.2
Anti-Slop ?5% weight · +3.1 vs avg
best · Claude Fable 5 (max effort + 4.8 fallback) · 93.785.9± 4.6 · 62ndboard avg · 82.8
Visual Cues ?4% weight · +9.6 vs avg
best · GPT-5.6 Sol (xhigh) · 91.484.1± 3.4 · 51stboard avg · 74.5

Per-article scores

The same 9 real scripts every current-ranked model writes, scored individually. Different formats stress different skills.

Article 1
opinion / warning explainer
83.4
out of 100
Article 2
news-analysis / skeptical explainer
84.3
out of 100
Article 3
personal roadmap / opinion
80.8
out of 100
Article 4
short explainer
83.1
out of 100
Article 5
news-analysis / opinion explainer
82.8
out of 100
Article 6
founder announcement / personal origin story
85.1
out of 100
Article 7
personal technical walkthrough / agentic workflow case study
80.2
out of 100
Article 8
product release announcement / personal observation
86.6
out of 100
Article 9
career guide / hiring analysis
85.2
out of 100

Consistency: run-to-run variability

Every cell on this page is the mean of 5 independent runs per script; the ± numbers are the run-to-run standard deviation. Overall, Claude Sonnet 4.6 varies by ± 2.5 points between runs versus a board median of ± 3.8, so it is noticeably steadier than the typical model here.

Its most volatile dimension is Anti-Slop (± 4.6 vs a board median of ± 2.6): two runs of the same brief can land visibly different anti-slop scores.

MetricThis modelBoard medianVerdict
Tone & Voice ?83.2 ± 1.8± 2.2typical
Writing Craft ?84.5 ± 1.5± 2.0typical
Substance & Value ?84.7 ± 1.9± 2.6typical
Flow & Emotion ?81.2 ± 1.8± 2.6typical
YouTube Structure ?79.5 ± 2.9± 3.6typical
Hook ?84.0 ± 3.3± 3.0typical
Length Discipline ?88.0 ± 6.1± 8.6typical
Anti-Slop ?85.9 ± 4.6± 2.6swingier than most
Visual Cues ?84.1 ± 3.4± 4.7typical

Measured, not modeled

Numbers we log on every run and rarely talk about. None of these affect the writing scores; cost and latency are informational.

Latency per script
302sslower than the board median of 70s
Prompt tokens in
11.3kstyle guide + brief + research packet
Tokens out
2.6kscript + any reasoning tokens
Cost per script
$0.072 ± 0.017measured from actual billed tokens
List price used
$3 / $15 per M tokinput / output

What each judge scored it

The published overall of 83.5 is the consensus of three family-disjoint judges scoring the same 45 stored drafts blind with the identical rubric. The highest and lowest judge differ by 8.4 points on its overall. A typical amount of judge disagreement for this board. How the panel works: methodology.

Claude Opus 5
Anthropic
78.7
GPT-5.6 Sol (medium)
OpenAI
87.2
DeepSeek V4 Flash
DeepSeek
84.6

How we ran Claude Sonnet 4.6

Frequently asked questions

How good is Claude Sonnet 4.6 at writing?

On ToneBench it ranks #41 of 130 with a writing Elo of 1828 and an overall score of 83.5/100. That score comes from writing our 9 real YouTube scripts five times each and scoring every draft blind against our own finished versions across nine writing dimensions.

Is Claude Sonnet 4.6 the best Anthropic model for writing?

Not quite. Within Anthropic it ranks 19th of 21; Claude Opus 5 (max effort) is the family's best writer here.

Is Claude Sonnet 4.6 good value for the money?

It costs about $0.072/task. DeepSeek V4 Flash 0731 scores higher for less, so it is not the value pick.

What are Claude Sonnet 4.6's strengths and weaknesses?

Its strongest dimension is Length Discipline (23rd on the board, 88.0). Its weakest is Hook (62nd on the board, 84.0). The full nine-metric breakdown is on this page.

Does Claude Sonnet 4.6 write some formats better than others?

Yes. Its best of our 9 scripts was the product release announcement / personal observation (86.6) and its weakest was the personal technical walkthrough / agentic workflow case study (80.2).

How consistent is Claude Sonnet 4.6 between runs?

We run every script 5 times. Claude Sonnet 4.6's overall score varies by about ±2.5 points between runs, versus a board median of ±3.8. That makes it one of the steadier models we test. The full per-metric variability table is on this page.

How was Claude Sonnet 4.6 evaluated?

Via Claude Code (Anthropic subscription) using the exact model/route id claude-sonnet-4-6, run on 2026-07-29. 5 runs per script, provider-default sampling, no fine-tuning; every draft scored blind with a fixed rubric by a three-family judge panel. Full details in the 'How we ran it' section and the methodology.

Is Claude Sonnet 4.6 open source?

No, it is a proprietary (closed-weights) model. Among proprietary models it ranks 37th of 83 for writing.

← Back to the full ToneBench leaderboard