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Gemini 3.6 Flash (default)

Google · proprietary · writing benchmark

#74 of 130 Elo 1476 Overall 78.3 Proprietary
Rank
#74 of 130
Writing Elo
1476 ±46
Overall
78.3 / 100
Cost / task
$0.075 per script
Family
Google 5th of 13
Type
Closed 58th of 83
Consistency
± 3.7 typical spread
Avg tokens
19.0k in+out
Latency
38s per call
Family check:Gemini 3.1 Pro (default) is Google's best writer here, +1.9 overall vs this config for $0.043 more per script.

The short version

Gemini 3.6 Flash (default) sits at #74 of 130 on ToneBench, toward the value end of the board, with a writing Elo of 1476 and an overall score of 78.3 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 Google it ranks 5th of 13. Gemini 3.1 Pro (default) is the family's top writer here, about 101 Elo ahead, so this config trades some quality for whatever it saves you in cost or speed.

Among proprietary models, it comes in 58th 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 34th on that dimension at 83.6, well above the board average. Its softer spot is Anti-Slop (79.2, 93rd), 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 (85.3) and its weakest was the personal technical walkthrough / agentic workflow case study (72.7), a spread of about 12 points. Worth knowing if your writing skews toward one of those formats.

On cost, it runs about $0.075/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.

Skill profile

The shape is the story: the further a corner reaches, the stronger that dimension. Biggest edge over the board: Length Discipline (+16.5); furthest behind: Anti-Slop (-3.6).

50Tone?Craft?Substance?Flow?YouTube?Hook?Length?Anti-Slop?Cues?
Gemini 3.6 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 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 · -1.8 vs avg
best · Claude Opus 5 (max effort) · 91.276.6± 1.9 · 87thboard avg · 78.3
Writing Craft ?13% weight · +0.1 vs avg
best · Claude Opus 5 (max effort) · 91.179.0± 1.8 · 82ndboard avg · 78.9
Substance & Value ?15% weight · -1.3 vs avg
best · Claude Opus 5 (max effort) · 90.677.4± 2.6 · 89thboard avg · 78.7
Flow & Emotion ?14% weight · +0.7 vs avg
best · Claude Opus 5 (max effort) · 90.475.1± 1.9 · 79thboard avg · 74.4
YouTube Structure ?12% weight · +3.0 vs avg
best · Claude Opus 5 (max effort) · 89.676.3± 2.7 · 69thboard avg · 73.3
Hook ?10% weight · +1.3 vs avg
best · Claude Opus 5 (max effort) · 92.081.5± 2.6 · 83rdboard avg · 80.2
Length Discipline ?8% weight · +16.5 vs avg
best · GPT-5.6 Sol (ultra) · 94.383.6± 10.4 · 34thboard avg · 67.2
Anti-Slop ?5% weight · -3.6 vs avg
best · Claude Fable 5 (max effort + 4.8 fallback) · 93.779.2± 2.2 · 93rdboard avg · 82.8
Visual Cues ?4% weight · +10.8 vs avg
best · GPT-5.6 Sol (xhigh) · 91.485.3± 2.4 · 45thboard 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
76.6
out of 100
Article 2
news-analysis / skeptical explainer
80.5
out of 100
Article 3
personal roadmap / opinion
78.7
out of 100
Article 4
short explainer
77.7
out of 100
Article 5
news-analysis / opinion explainer
79.9
out of 100
Article 6
founder announcement / personal origin story
78.4
out of 100
Article 7
personal technical walkthrough / agentic workflow case study
72.7
out of 100
Article 8
product release announcement / personal observation
85.3
out of 100
Article 9
career guide / hiring analysis
75.0
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, Gemini 3.6 Flash (default) varies by ± 3.7 points between runs versus a board median of ± 3.8, so it is about as repeatable as the typical model on the board.

Its steadiest is Visual Cues (± 2.4 vs ± 4.7 board median), which you can rely on run after run.

MetricThis modelBoard medianVerdict
Tone & Voice ?76.6 ± 1.9± 2.2typical
Writing Craft ?79.0 ± 1.8± 2.0typical
Substance & Value ?77.4 ± 2.6± 2.6typical
Flow & Emotion ?75.1 ± 1.9± 2.6typical
YouTube Structure ?76.3 ± 2.7± 3.6typical
Hook ?81.5 ± 2.6± 3.0typical
Length Discipline ?83.6 ± 10.4± 8.6typical
Anti-Slop ?79.2 ± 2.2± 2.6typical
Visual Cues ?85.3 ± 2.4± 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
38sfaster than the board median of 70s
Prompt tokens in
11.3kstyle guide + brief + research packet
Tokens out
7.8kwell above the board median (thinks a lot)
Cost per script
$0.075 ± 0.016measured from actual billed tokens
List price used
$1.5 / $7.5 per M tokinput / output

What each judge scored it

The published overall of 78.3 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 10.3 points on its overall. A typical amount of judge disagreement for this board. How the panel works: methodology.

Claude Opus 5
Anthropic
71.8
GPT-5.6 Sol (medium)
OpenAI
80.9
DeepSeek V4 Flash
DeepSeek
82.1

How we ran Gemini 3.6 Flash (default)

Frequently asked questions

How good is Gemini 3.6 Flash (default) at writing?

On ToneBench it ranks #74 of 130 with a writing Elo of 1476 and an overall score of 78.3/100. 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 Gemini 3.6 Flash (default) the best Google model for writing?

Not quite. Within Google it ranks 5th of 13; Gemini 3.1 Pro (default) is the family's best writer here.

Is Gemini 3.6 Flash (default) good value for the money?

It costs about $0.075/task. DeepSeek V4 Flash (native chat alias) scores higher for less, so it is not the value pick.

What are Gemini 3.6 Flash (default)'s strengths and weaknesses?

Its strongest dimension is Length Discipline (34th on the board, 83.6). Its weakest is Anti-Slop (93rd on the board, 79.2). The full nine-metric breakdown is on this page.

Does Gemini 3.6 Flash (default) write some formats better than others?

Yes. Its best of our 9 scripts was the product release announcement / personal observation (85.3) and its weakest was the personal technical walkthrough / agentic workflow case study (72.7).

How consistent is Gemini 3.6 Flash (default) between runs?

We run every script 5 times. Gemini 3.6 Flash (default)'s overall score varies by about ±3.7 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 Gemini 3.6 Flash (default) evaluated?

Via Google Gemini API using the exact model/route id gemini-3.6-flash, 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 Gemini 3.6 Flash (default) open source?

No, it is a proprietary (closed-weights) model. Among proprietary models it ranks 58th of 83 for writing.

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