Towards AITowards AIToneBench

Grok 4.3

xAI · proprietary · writing benchmark

#101 of 130 Elo 1039 Overall 70.7 Proprietary
Rank
#101 of 130
Writing Elo
1039 ±53
Overall
70.7 / 100
Cost / task
$0.018 per script
Family
xAI 5th of 7
Type
Closed 75th of 83
Consistency
± 5.5 swingier than most
Avg tokens
12.4k in+out
Latency
20s per call
Family check:Grok 4.5 is xAI's best writer here, +15.1 overall vs this config for $0.020 more per script.

The short version

Grok 4.3 sits at #101 of 130 on ToneBench, toward the value end of the board, with a writing Elo of 1039 and an overall score of 70.7 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 xAI it ranks 5th of 7. Grok 4.5 is the family's top writer here, about 1003 Elo ahead, so this config trades some quality for whatever it saves you in cost or speed.

Among proprietary models, it comes in 75th 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 Anti-Slop: it ranks 70th on that dimension at 85.3, above the board average. Its softer spot is Visual Cues (40.8, 121st), 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 (80.5) and its weakest was the personal technical walkthrough / agentic workflow case study (62.8), a spread of about 18 points. Worth knowing if your writing skews toward one of those formats.

On cost, it runs about $0.018/task. DeepSeek V4 Flash (native chat alias) scores higher for less money, at $0.002/task, so on pure value this config is not the frontier. Still, it beats 3 models that cost noticeably more.

If you're tuning reasoning effort, we also tested Grok 4.3 at other settings. The strongest of those on the board is Grok 4.3 (high) (Elo 1222), 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: Anti-Slop (+2.5); furthest behind: Visual Cues (-33.7).

50Tone?Craft?Substance?Flow?YouTube?Hook?Length?Anti-Slop?Cues?
Grok 4.3Board 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 · -4.4 vs avg
best · Claude Opus 5 (max effort) · 91.274.0± 2.6 · 101stboard avg · 78.3
Writing Craft ?13% weight · -0.9 vs avg
best · Claude Opus 5 (max effort) · 91.178.1± 2.0 · 85thboard avg · 78.9
Substance & Value ?15% weight · -1.9 vs avg
best · Claude Opus 5 (max effort) · 90.676.8± 2.2 · 94thboard avg · 78.7
Flow & Emotion ?14% weight · -2.7 vs avg
best · Claude Opus 5 (max effort) · 90.471.7± 2.4 · 92ndboard avg · 74.4
YouTube Structure ?12% weight · -7.1 vs avg
best · Claude Opus 5 (max effort) · 89.666.2± 5.1 · 97thboard avg · 73.3
Hook ?10% weight · -1.9 vs avg
best · Claude Opus 5 (max effort) · 92.078.3± 3.1 · 100thboard avg · 80.2
Length Discipline ?8% weight · -26.7 vs avg
best · GPT-5.6 Sol (ultra) · 94.340.5± 4.3 · 111thboard avg · 67.2
Anti-Slop ?5% weight · +2.5 vs avg
best · Claude Fable 5 (max effort + 4.8 fallback) · 93.785.3± 2.7 · 70thboard avg · 82.8
Visual Cues ?4% weight · -33.7 vs avg
best · GPT-5.6 Sol (xhigh) · 91.440.8± 14.3 · 121stboard 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
65.9
out of 100
Article 2
news-analysis / skeptical explainer
72.5
out of 100
Article 3
personal roadmap / opinion
67.3
out of 100
Article 4
short explainer
68.1
out of 100
Article 5
news-analysis / opinion explainer
74.0
out of 100
Article 6
founder announcement / personal origin story
80.5
out of 100
Article 7
personal technical walkthrough / agentic workflow case study
62.8
out of 100
Article 8
product release announcement / personal observation
71.0
out of 100
Article 9
career guide / hiring analysis
74.0
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, Grok 4.3 varies by ± 5.5 points between runs versus a board median of ± 3.8, so it is swingier than the typical model here, worth knowing if you need repeatable output.

Its most volatile dimension is Visual Cues (± 14.3 vs a board median of ± 4.7): two runs of the same brief can land visibly different visual cues scores. Its steadiest is Length Discipline (± 4.3 vs ± 8.6 board median), which you can rely on run after run.

MetricThis modelBoard medianVerdict
Tone & Voice ?74.0 ± 2.6± 2.2typical
Writing Craft ?78.1 ± 2.0± 2.0typical
Substance & Value ?76.8 ± 2.2± 2.6typical
Flow & Emotion ?71.7 ± 2.4± 2.6typical
YouTube Structure ?66.2 ± 5.1± 3.6typical
Hook ?78.3 ± 3.1± 3.0typical
Length Discipline ?40.5 ± 4.3± 8.6steadier than most
Anti-Slop ?85.3 ± 2.7± 2.6typical
Visual Cues ?40.8 ± 14.3± 4.7swingier 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
20sfaster than the board median of 70s
Prompt tokens in
10.5kstyle guide + brief + research packet
Tokens out
1.9kscript + any reasoning tokens
Cost per script
$0.018 ± 0.002measured from actual billed tokens
List price used
$1.25 / $2.5 per M tokinput / output

What each judge scored it

The published overall of 70.7 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 11.6 points on its overall. A typical amount of judge disagreement for this board. How the panel works: methodology.

Claude Opus 5
Anthropic
64.5
GPT-5.6 Sol (medium)
OpenAI
76.1
DeepSeek V4 Flash
DeepSeek
71.5

How we ran Grok 4.3

Frequently asked questions

How good is Grok 4.3 at writing?

On ToneBench it ranks #101 of 130 with a writing Elo of 1039 and an overall score of 70.7/100. 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 Grok 4.3 the best xAI model for writing?

Not quite. Within xAI it ranks 5th of 7; Grok 4.5 is the family's best writer here.

Is Grok 4.3 good value for the money?

It costs about $0.018/task. DeepSeek V4 Flash (native chat alias) scores higher for less, so it is not the value pick.

What are Grok 4.3's strengths and weaknesses?

Its strongest dimension is Anti-Slop (70th on the board, 85.3). Its weakest is Visual Cues (121st on the board, 40.8). The full nine-metric breakdown is on this page.

Does Grok 4.3 write some formats better than others?

Yes. Its best of our 9 scripts was the founder announcement / personal origin story (80.5) and its weakest was the personal technical walkthrough / agentic workflow case study (62.8).

How consistent is Grok 4.3 between runs?

We run every script 5 times. Grok 4.3's overall score varies by about ±5.5 points between runs, versus a board median of ±3.8. That is swingier than typical, so expect more draft-to-draft variation. The full per-metric variability table is on this page.

How was Grok 4.3 evaluated?

Via xAI API using the exact model/route id grok-4.3, 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 Grok 4.3 open source?

No, it is a proprietary (closed-weights) model. Among proprietary models it ranks 75th of 83 for writing.

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