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Gemini 3.8 Flash (default)

Google · proprietary · writing benchmark

#87 of 146 Elo 1430 Overall 78.1 Proprietary
Rank
#87 of 146
Writing Elo
1430 ±34
Overall
78.1 / 100
Cost / task
$0.032 per script
Family
Google 7th of 17
Type
Closed 68th of 96
Consistency
± 3.2 typical spread
Avg tokens
18.1k in+out
Latency
25s per call
Family check:Gemini 3.1 Pro (default) is Google's best writer here, +2.4 overall vs this config for $0.112 more per script.

The short version

Gemini 3.8 Flash (default) sits at #87 of 146 on ToneBench, toward the value end of the board, with a writing Elo of 1430 and an overall score of 78.1 out of 100. We measured it by having it write all 10 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 Google it ranks 7th of 17. Gemini 3.1 Pro (default) is the family's top writer here, about 141 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 96. 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 Visual Cues: it ranks 23rd on that dimension at 85.3, well above the board average. Its softer spot is Length Discipline (52.9, 117th), which is the thing to watch if that metric matters most for your use.

It was uneven across the 10 scripts. Its best run was the news-analysis / skeptical explainer (81.7) and its weakest was the engineering process walkthrough / presentation adaptation (73.5), a spread of about 8 points. Worth knowing if your writing skews toward one of those formats.

On cost, it runs about $0.032/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 9 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: Visual Cues (+10.6); furthest behind: Length Discipline (-15.6).

50Tone?Craft?Substance?Flow?YouTube?Hook?Length?Anti-Slop?Cues?
Gemini 3.8 Flash (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 146 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 · -0.6 vs avg
best · Claude Fable 5 (max effort + 4.8 fallback) · 89.477.9± 1.9 · 89thboard avg · 78.5
Writing Craft ?13% weight · +1.5 vs avg
best · Claude Opus 5 (max effort) · 89.681.4± 1.6 · 75thboard avg · 80.0
Substance & Value ?15% weight · +0.5 vs avg
best · Claude Fable 5.1 (adaptive default) · 89.279.7± 2.3 · 83rdboard avg · 79.2
Flow & Emotion ?14% weight · +3.0 vs avg
best · Claude Fable 5.1 (adaptive default) · 88.679.0± 2.1 · 67thboard avg · 76.0
YouTube Structure ?12% weight · +4.0 vs avg
best · Claude Fable 5 (max effort + 4.8 fallback) · 89.079.4± 2.6 · 73rdboard avg · 75.5
Hook ?10% weight · +2.0 vs avg
best · Claude Opus 5 (xhigh) · 90.584.1± 2.3 · 77thboard avg · 82.2
Length Discipline ?8% weight · -15.6 vs avg
best · GPT-6 Astra (max) · 95.252.9± 14.0 · 117thboard avg · 68.6
Anti-Slop ?5% weight · -2.0 vs avg
best · GPT-6 Astra (max) · 94.381.5± 2.4 · 99thboard avg · 83.5
Visual Cues ?4% weight · +10.6 vs avg
best · GPT-5.6 Sol (ultra) · 88.585.3± 2.1 · 23rdboard avg · 74.7

Per-article scores

The same 10 real scripts every current-ranked model writes, scored individually. Different formats stress different skills.

Article 1
opinion / warning explainer
78.1
out of 100
Article 2
news-analysis / skeptical explainer
81.7
out of 100
Article 3
personal roadmap / opinion
77.7
out of 100
Article 4
short explainer
78.2
out of 100
Article 5
news-analysis / opinion explainer
78.3
out of 100
Article 6
founder announcement / personal origin story
81.3
out of 100
Article 7
personal technical walkthrough / agentic workflow case study
75.8
out of 100
Article 8
product release announcement / personal observation
81.3
out of 100
Article 9
career guide / hiring analysis
75.0
out of 100
Article 10
engineering process walkthrough / presentation adaptation
73.5
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, Gemini 3.8 Flash (default) varies by ± 3.2 points between runs versus a board median of ± 3.1, so it is about as repeatable as the typical model on the board.

Its steadiest is Visual Cues (± 2.1 vs ± 4.2 board median), which you can rely on run after run.

MetricThis modelBoard medianVerdict
Tone & Voice ?77.9 ± 1.9± 2.0typical
Writing Craft ?81.4 ± 1.6± 1.9typical
Substance & Value ?79.7 ± 2.3± 2.3typical
Flow & Emotion ?79.0 ± 2.1± 2.3typical
YouTube Structure ?79.4 ± 2.6± 3.4typical
Hook ?84.1 ± 2.3± 2.4typical
Length Discipline ?52.9 ± 14.0± 9.4typical
Anti-Slop ?81.5 ± 2.4± 2.2typical
Visual Cues ?85.3 ± 2.1± 4.2steadier 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
25sfaster than the board median of 68s
Prompt tokens in
12.0kstyle guide + brief + research packet
Tokens out
6.1kwell above the board median (thinks a lot)
Cost per script
$0.032 ± 0.010measured from actual billed tokens
List price used
$0.75 / $3.75 per M tokinput / output

What each judge scored it

The published overall of 78.1 is the consensus of three family-disjoint judges scoring the same 50 stored drafts blind with the identical rubric. The highest and lowest judge differ by 5.5 points on its overall. A typical amount of judge disagreement for this board. How the panel works: methodology.

Claude Opus 5
Anthropic
75.0
GPT-5.6 Sol (medium)
OpenAI
78.7
DeepSeek V4 Flash
DeepSeek
80.5

How we ran Gemini 3.8 Flash (default)

Frequently asked questions

How good is Gemini 3.8 Flash (default) at writing?

On ToneBench it ranks #87 of 146 with a writing Elo of 1430 and an overall score of 78.1/100. That score comes from writing our 10 real YouTube scripts five times each and scoring every draft blind against our own finished versions across nine writing dimensions.

Is Gemini 3.8 Flash (default) the best Google model for writing?

Not quite. Within Google it ranks 7th of 17; Gemini 3.1 Pro (default) is the family's best writer here.

Is Gemini 3.8 Flash (default) good value for the money?

It costs about $0.032/task. DeepSeek V4 Flash (native chat alias) scores higher for less, so it is not the value pick.

What are Gemini 3.8 Flash (default)'s strengths and weaknesses?

Its strongest dimension is Visual Cues (23rd on the board, 85.3). Its weakest is Length Discipline (117th on the board, 52.9). The full nine-metric breakdown is on this page.

Does Gemini 3.8 Flash (default) write some formats better than others?

Yes. Its best of our 10 scripts was the news-analysis / skeptical explainer (81.7) and its weakest was the engineering process walkthrough / presentation adaptation (73.5).

How consistent is Gemini 3.8 Flash (default) between runs?

We run every script 5 times. Gemini 3.8 Flash (default)'s overall score varies by about ±3.2 points between runs, versus a board median of ±3.1. That is typical consistency for this board. The full per-metric variability table is on this page.

How was Gemini 3.8 Flash (default) evaluated?

Via Google Gemini API using the exact model/route id gemini-3.8-flash, run on 2026-09-03. 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 Gemini 3.8 Flash (default) open source?

No, it is a proprietary (closed-weights) model. Among proprietary models it ranks 68th of 96 for writing.

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