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Claude Opus 4.8 (default)

Anthropic · proprietary · writing benchmark

#25 of 130 Elo 2123 Overall 86.7 Proprietary
Rank
#25 of 130
Writing Elo
2123 ±55
Overall
86.7 / 100
Cost / task
$0.15 per script
Family
Anthropic 15th of 21
Type
Closed 23rd of 83
Consistency
± 2.0 steadier than most
Avg tokens
17.4k in+out
Latency
69s per call
Family check:Claude Opus 5 (max effort) is Anthropic's best writer here, +4.1 overall vs this config for $0.030 less per script.

The short version

Claude Opus 4.8 (default) sits at #25 of 130 on ToneBench, in the middle of the pack, with a writing Elo of 2123 and an overall score of 86.7 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 15th of 21. Claude Opus 5 (max effort) is the family's top writer here, about 527 Elo ahead, so this config trades some quality for whatever it saves you in cost or speed.

Among proprietary models, it comes in 23rd of 83. That ranking is against the stronger half of the board: closed models still set the pace on voice fidelity here.

One thing that stands out: it is unusually consistent. Across its 45 drafts the overall score only moves ± 2.0 points run to run, versus a board median of ± 3.8. What you get on the first try is close to what you get every try.

What it does best is Hook: it ranks 17th on that dimension at 88.2, well above the board average. Its softer spot is Visual Cues (84.2, 50th), 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 founder announcement / personal origin story (89.4) and its weakest was the personal roadmap / opinion (84.1), a spread of about 5 points. Worth knowing if your writing skews toward one of those formats.

On cost, it runs about $0.15/task. GPT-5.6 Terra (ultra) scores higher for less money, at $0.065/task, so on pure value this config is not the frontier.

If you're tuning reasoning effort, we also tested Claude Opus 4.8 at other settings. The strongest of those on the board is Claude Opus 4.8 (max effort) (Elo 2361), so it is worth checking whether more or less thinking moves the needle before you lock in this one.

Skill profile

The shape is the story: the further a corner reaches, the stronger that dimension. Biggest edge over the board: Length Discipline (+22.0); smallest edge: Anti-Slop (+7.3).

50Tone?Craft?Substance?Flow?YouTube?Hook?Length?Anti-Slop?Cues?
Claude Opus 4.8 (default)Board 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 · +8.4 vs avg
best · Claude Opus 5 (max effort) · 91.286.7± 1.7 · 32ndboard avg · 78.3
Writing Craft ?13% weight · +8.0 vs avg
best · Claude Opus 5 (max effort) · 91.186.9± 1.5 · 32ndboard avg · 78.9
Substance & Value ?15% weight · +8.1 vs avg
best · Claude Opus 5 (max effort) · 90.686.8± 1.8 · 35thboard avg · 78.7
Flow & Emotion ?14% weight · +11.0 vs avg
best · Claude Opus 5 (max effort) · 90.485.4± 2.0 · 20thboard avg · 74.4
YouTube Structure ?12% weight · +11.1 vs avg
best · Claude Opus 5 (max effort) · 89.684.4± 2.3 · 34thboard avg · 73.3
Hook ?10% weight · +8.0 vs avg
best · Claude Opus 5 (max effort) · 92.088.2± 2.0 · 17thboard avg · 80.2
Length Discipline ?8% weight · +22.0 vs avg
best · GPT-5.6 Sol (ultra) · 94.389.2± 3.9 · 22ndboard avg · 67.2
Anti-Slop ?5% weight · +7.3 vs avg
best · Claude Fable 5 (max effort + 4.8 fallback) · 93.790.1± 2.5 · 44thboard avg · 82.8
Visual Cues ?4% weight · +9.7 vs avg
best · GPT-5.6 Sol (xhigh) · 91.484.2± 2.7 · 50thboard 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
85.5
out of 100
Article 2
news-analysis / skeptical explainer
87.4
out of 100
Article 3
personal roadmap / opinion
84.1
out of 100
Article 4
short explainer
85.0
out of 100
Article 5
news-analysis / opinion explainer
86.2
out of 100
Article 6
founder announcement / personal origin story
89.4
out of 100
Article 7
personal technical walkthrough / agentic workflow case study
87.0
out of 100
Article 8
product release announcement / personal observation
87.7
out of 100
Article 9
career guide / hiring analysis
88.1
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 Opus 4.8 (default) varies by ± 2.0 points between runs versus a board median of ± 3.8, so it is noticeably steadier than the typical model here.

Its steadiest is Length Discipline (± 3.9 vs ± 8.6 board median), which you can rely on run after run.

MetricThis modelBoard medianVerdict
Tone & Voice ?86.7 ± 1.7± 2.2typical
Writing Craft ?86.9 ± 1.5± 2.0typical
Substance & Value ?86.8 ± 1.8± 2.6typical
Flow & Emotion ?85.4 ± 2.0± 2.6typical
YouTube Structure ?84.4 ± 2.3± 3.6typical
Hook ?88.2 ± 2.0± 3.0typical
Length Discipline ?89.2 ± 3.9± 8.6steadier than most
Anti-Slop ?90.1 ± 2.5± 2.6typical
Visual Cues ?84.2 ± 2.7± 4.7steadier than most

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
69s
Prompt tokens in
14.3kstyle guide + brief + research packet
Tokens out
3.2kscript + any reasoning tokens
Cost per script
$0.150 ± 0.029measured from actual billed tokens
List price used
$5 / $25 per M tokinput / output

What each judge scored it

The published overall of 86.7 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 5.8 points on its overall. The three judges essentially agree on this model. How the panel works: methodology.

Claude Opus 5
Anthropic
84.1
GPT-5.6 Sol (medium)
OpenAI
89.8
DeepSeek V4 Flash
DeepSeek
86.2

How we ran Claude Opus 4.8 (default)

Frequently asked questions

How good is Claude Opus 4.8 (default) at writing?

On ToneBench it ranks #25 of 130 with a writing Elo of 2123 and an overall score of 86.7/100. 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 Opus 4.8 (default) the best Anthropic model for writing?

Not quite. Within Anthropic it ranks 15th of 21; Claude Opus 5 (max effort) is the family's best writer here.

Is Claude Opus 4.8 (default) good value for the money?

It costs about $0.15/task. GPT-5.6 Terra (ultra) scores higher for less, so it is not the value pick.

What are Claude Opus 4.8 (default)'s strengths and weaknesses?

Its strongest dimension is Hook (17th on the board, 88.2). Its weakest is Visual Cues (50th on the board, 84.2). The full nine-metric breakdown is on this page.

Does Claude Opus 4.8 (default) write some formats better than others?

Yes. Its best of our 9 scripts was the founder announcement / personal origin story (89.4) and its weakest was the personal roadmap / opinion (84.1).

How consistent is Claude Opus 4.8 (default) between runs?

We run every script 5 times. Claude Opus 4.8 (default)'s overall score varies by about ±2.0 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 Opus 4.8 (default) evaluated?

Via Claude Code (Anthropic subscription) using the exact model/route id claude-opus-4-8, 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 Opus 4.8 (default) open source?

No, it is a proprietary (closed-weights) model. Among proprietary models it ranks 23rd of 83 for writing.

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