Towards AITowards AIToneBench

Gemini 3.7 Flash (default)

Google · proprietary · writing benchmark

#74 of 136 Elo 1479 Overall 78.9 Proprietary
Rank
#74 of 136
Writing Elo
1479 ±32
Overall
78.9 / 100
Cost / task
$0.029 per script
Family
Google 5th of 15
Type
Closed 59th of 87
Consistency
± 2.3 steadier than most
Avg tokens
17.3k in+out
Latency
19s per call
Family check:Gemini 3.1 Pro (default) is Google's best writer here, +1.3 overall vs this config for $0.092 more per script.

The short version

Gemini 3.7 Flash (default) sits at #74 of 136 on ToneBench, toward the value end of the board, with a writing Elo of 1479 and an overall score of 78.9 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 5th of 15. Gemini 3.1 Pro (default) is the family's top writer here, about 74 Elo ahead, so this config trades some quality for whatever it saves you in cost or speed.

Among proprietary models, it comes in 59th of 87. 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 42nd on that dimension at 82.2, well above the board average. Its softer spot is Tone & Voice (75.4, 97th), 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 product release announcement / personal observation (80.7) and its weakest was the engineering process walkthrough / presentation adaptation (76.3), a spread of about 4 points. Worth knowing if your writing skews toward one of those formats.

On cost, it runs about $0.029/task. DeepSeek V4 Flash 0731 scores higher for less money, at $0.005/task, so on pure value this config is not the frontier. Still, it beats 10 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: Length Discipline (+14.6); furthest behind: Tone & Voice (-2.7).

50Tone?Craft?Substance?Flow?YouTube?Hook?Length?Anti-Slop?Cues?
Gemini 3.7 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 136 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 · -2.7 vs avg
best · Claude Opus 5 (max effort) · 90.975.4± 2.3 · 97thboard avg · 78.1
Writing Craft ?13% weight · +1.1 vs avg
best · Claude Opus 5 (max effort) · 91.080.0± 2.0 · 79thboard avg · 78.9
Substance & Value ?15% weight · -0.0 vs avg
best · Claude Opus 5 (max effort) · 90.378.7± 2.6 · 84thboard avg · 78.7
Flow & Emotion ?14% weight · +2.6 vs avg
best · Claude Opus 5 (max effort) · 90.277.0± 1.8 · 71stboard avg · 74.4
YouTube Structure ?12% weight · +3.9 vs avg
best · Claude Opus 5 (max effort) · 89.677.5± 2.3 · 70thboard avg · 73.6
Hook ?10% weight · +1.9 vs avg
best · Claude Opus 5 (max effort) · 91.982.5± 2.2 · 79thboard avg · 80.6
Length Discipline ?8% weight · +14.6 vs avg
best · GPT-5.6 Sol (ultra) · 94.882.2± 9.7 · 42ndboard avg · 67.6
Anti-Slop ?5% weight · -2.0 vs avg
best · Claude Fable 5 (max effort + 4.8 fallback) · 93.780.8± 2.3 · 87thboard avg · 82.8
Visual Cues ?4% weight · +10.7 vs avg
best · GPT-5.6 Sol (xhigh) · 91.085.2± 2.3 · 42ndboard avg · 74.4

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
77.7
out of 100
Article 2
news-analysis / skeptical explainer
80.6
out of 100
Article 3
personal roadmap / opinion
80.5
out of 100
Article 4
short explainer
79.9
out of 100
Article 5
news-analysis / opinion explainer
78.6
out of 100
Article 6
founder announcement / personal origin story
80.2
out of 100
Article 7
personal technical walkthrough / agentic workflow case study
76.7
out of 100
Article 8
product release announcement / personal observation
80.7
out of 100
Article 9
career guide / hiring analysis
77.7
out of 100
Article 10
engineering process walkthrough / presentation adaptation
76.3
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 3.7 Flash (default) varies by ± 2.3 points between runs versus a board median of ± 3.6, so it is noticeably steadier than the typical model here.

Its steadiest is Visual Cues (± 2.3 vs ± 4.7 board median), which you can rely on run after run.

MetricThis modelBoard medianVerdict
Tone & Voice ?75.4 ± 2.3± 2.2typical
Writing Craft ?80.0 ± 2.0± 2.0typical
Substance & Value ?78.7 ± 2.6± 2.5typical
Flow & Emotion ?77.0 ± 1.8± 2.5typical
YouTube Structure ?77.5 ± 2.3± 3.6typical
Hook ?82.5 ± 2.2± 2.8typical
Length Discipline ?82.2 ± 9.7± 8.9typical
Anti-Slop ?80.8 ± 2.3± 2.5typical
Visual Cues ?85.2 ± 2.3± 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
19sfaster than the board median of 78s
Prompt tokens in
12.0kstyle guide + brief + research packet
Tokens out
5.3kscript + any reasoning tokens
Cost per script
$0.029 ± 0.006measured from actual billed tokens
List price used
$0.75 / $3.75 per M tokinput / output

What each judge scored it

The published overall of 78.9 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 7.4 points on its overall. A typical amount of judge disagreement for this board. How the panel works: methodology.

Claude Opus 5
Anthropic
74.5
GPT-5.6 Sol (medium)
OpenAI
80.3
DeepSeek V4 Flash
DeepSeek
81.9

How we ran Gemini 3.7 Flash (default)

Frequently asked questions

How good is Gemini 3.7 Flash (default) at writing?

On ToneBench it ranks #74 of 136 with a writing Elo of 1479 and an overall score of 78.9/100. 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 3.7 Flash (default) the best Google model for writing?

Not quite. Within Google it ranks 5th of 15; Gemini 3.1 Pro (default) is the family's best writer here.

Is Gemini 3.7 Flash (default) good value for the money?

It costs about $0.029/task. DeepSeek V4 Flash 0731 scores higher for less, so it is not the value pick.

What are Gemini 3.7 Flash (default)'s strengths and weaknesses?

Its strongest dimension is Length Discipline (42nd on the board, 82.2). Its weakest is Tone & Voice (97th on the board, 75.4). The full nine-metric breakdown is on this page.

Does Gemini 3.7 Flash (default) write some formats better than others?

Yes. Its best of our 10 scripts was the product release announcement / personal observation (80.7) and its weakest was the engineering process walkthrough / presentation adaptation (76.3).

How consistent is Gemini 3.7 Flash (default) between runs?

We run every script 5 times. Gemini 3.7 Flash (default)'s overall score varies by about ±2.3 points between runs, versus a board median of ±3.6. That makes it one of the steadier models we test. The full per-metric variability table is on this page.

How was Gemini 3.7 Flash (default) evaluated?

Via Google Gemini API using the exact model/route id gemini-3.7-flash, run on 2026-08-13. 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 3.7 Flash (default) open source?

No, it is a proprietary (closed-weights) model. Among proprietary models it ranks 59th of 87 for writing.

← Back to the full ToneBench leaderboard