Towards AITowards AIToneBench

Grok 4.3 (high)

xAI · proprietary · writing benchmark

#92 of 130 Elo 1222 Overall 74.0 Proprietary
Rank
#92 of 130
Writing Elo
1222 ±64
Overall
74.0 / 100
Cost / task
$0.033 per script
Family
xAI 3rd of 7
Type
Closed 68th of 83
Consistency
± 5.2 typical spread
Avg tokens
18.5k in+out
Latency
63s per call
Family check:Grok 4.5 is xAI's best writer here, +11.8 overall vs this config for $0.005 more per script.

The short version

Grok 4.3 (high) sits at #92 of 130 on ToneBench, toward the value end of the board, with a writing Elo of 1222 and an overall score of 74.0 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 3rd of 7. Grok 4.5 is the family's top writer here, about 820 Elo ahead, so this config trades some quality for whatever it saves you in cost or speed.

Among proprietary models, it comes in 68th 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 65th on that dimension at 85.7, above the board average. Its softer spot is Hook (75.6, 109th), 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 (81.6) and its weakest was the personal technical walkthrough / agentic workflow case study (66.6), a spread of about 15 points. Worth knowing if your writing skews toward one of those formats.

On cost, it runs about $0.033/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.

If you're tuning reasoning effort, we also tested Grok 4.3 at other settings. None of them beat this config; the closest is Grok 4.3 (Elo 1039), so the only question is how much quality you want to trade for cost or speed.

Skill profile

The shape is the story: the further a corner reaches, the stronger that dimension. Biggest edge over the board: Anti-Slop (+2.9); furthest behind: Visual Cues (-9.9).

50Tone?Craft?Substance?Flow?YouTube?Hook?Length?Anti-Slop?Cues?
Grok 4.3 (high)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 · -3.9 vs avg
best · Claude Opus 5 (max effort) · 91.274.4± 3.4 · 99thboard avg · 78.3
Writing Craft ?13% weight · -2.1 vs avg
best · Claude Opus 5 (max effort) · 91.176.8± 2.7 · 93rdboard avg · 78.9
Substance & Value ?15% weight · +1.4 vs avg
best · Claude Opus 5 (max effort) · 90.680.1± 3.3 · 72ndboard avg · 78.7
Flow & Emotion ?14% weight · -3.7 vs avg
best · Claude Opus 5 (max effort) · 90.470.7± 4.5 · 97thboard avg · 74.4
YouTube Structure ?12% weight · -2.9 vs avg
best · Claude Opus 5 (max effort) · 89.670.4± 5.1 · 90thboard avg · 73.3
Hook ?10% weight · -4.6 vs avg
best · Claude Opus 5 (max effort) · 92.075.6± 4.1 · 109thboard avg · 80.2
Length Discipline ?8% weight · -3.5 vs avg
best · GPT-5.6 Sol (ultra) · 94.363.7± 15.0 · 85thboard avg · 67.2
Anti-Slop ?5% weight · +2.9 vs avg
best · Claude Fable 5 (max effort + 4.8 fallback) · 93.785.7± 3.0 · 65thboard avg · 82.8
Visual Cues ?4% weight · -9.9 vs avg
best · GPT-5.6 Sol (xhigh) · 91.464.7± 12.2 · 99thboard 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
73.1
out of 100
Article 2
news-analysis / skeptical explainer
73.3
out of 100
Article 3
personal roadmap / opinion
73.3
out of 100
Article 4
short explainer
74.7
out of 100
Article 5
news-analysis / opinion explainer
72.8
out of 100
Article 6
founder announcement / personal origin story
81.6
out of 100
Article 7
personal technical walkthrough / agentic workflow case study
66.6
out of 100
Article 8
product release announcement / personal observation
75.5
out of 100
Article 9
career guide / hiring analysis
75.1
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, Grok 4.3 (high) varies by ± 5.2 points between runs versus a board median of ± 3.8, so it is about as repeatable as the typical model on the board.

Its most volatile dimension is Tone & Voice (± 3.4 vs a board median of ± 2.2): two runs of the same brief can land visibly different tone & voice scores.

MetricThis modelBoard medianVerdict
Tone & Voice ?74.4 ± 3.4± 2.2swingier than most
Writing Craft ?76.8 ± 2.7± 2.0typical
Substance & Value ?80.1 ± 3.3± 2.6typical
Flow & Emotion ?70.7 ± 4.5± 2.6swingier than most
YouTube Structure ?70.4 ± 5.1± 3.6typical
Hook ?75.6 ± 4.1± 3.0typical
Length Discipline ?63.7 ± 15.0± 8.6swingier than most
Anti-Slop ?85.7 ± 3.0± 2.6typical
Visual Cues ?64.7 ± 12.2± 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
63s
Prompt tokens in
10.6kstyle guide + brief + research packet
Tokens out
7.9kwell above the board median (thinks a lot)
Cost per script
$0.033 ± 0.010measured from actual billed tokens
List price used
$1.25 / $2.5 per M tokinput / output

What each judge scored it

The published overall of 74.0 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 11.3 points on its overall. A typical amount of judge disagreement for this board. How the panel works: methodology.

Claude Opus 5
Anthropic
67.6
GPT-5.6 Sol (medium)
OpenAI
78.9
DeepSeek V4 Flash
DeepSeek
75.5

How we ran Grok 4.3 (high)

Frequently asked questions

How good is Grok 4.3 (high) at writing?

On ToneBench it ranks #92 of 130 with a writing Elo of 1222 and an overall score of 74.0/100. 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 (high) the best xAI model for writing?

Not quite. Within xAI it ranks 3rd of 7; Grok 4.5 is the family's best writer here.

Is Grok 4.3 (high) good value for the money?

It costs about $0.033/task. DeepSeek V4 Flash (native chat alias) scores higher for less, so it is not the value pick.

What are Grok 4.3 (high)'s strengths and weaknesses?

Its strongest dimension is Anti-Slop (65th on the board, 85.7). Its weakest is Hook (109th on the board, 75.6). The full nine-metric breakdown is on this page.

Does Grok 4.3 (high) write some formats better than others?

Yes. Its best of our 9 scripts was the founder announcement / personal origin story (81.6) and its weakest was the personal technical walkthrough / agentic workflow case study (66.6).

How consistent is Grok 4.3 (high) between runs?

We run every script 5 times. Grok 4.3 (high)'s overall score varies by about ±5.2 points between runs, versus a board median of ±3.8. That is typical consistency for this board. The full per-metric variability table is on this page.

How was Grok 4.3 (high) evaluated?

Via xAI API using the exact model/route id grok-4.3 at reasoning_effort high, 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 (high) open source?

No, it is a proprietary (closed-weights) model. Among proprietary models it ranks 68th of 83 for writing.

← Back to the full ToneBench leaderboard