Towards AITowards AIToneBench

Qwen2.5 7B

Alibaba (Qwen) · open weights · writing benchmark

#129 of 130 Elo -136 Overall 26.7 Open weights
Rank
#129 of 130
Writing Elo
-136 ±47
Overall
26.7 / 100
Cost / task
$0.001 per script
Family
Alibaba (Qwen) 10th of 10
Type
Open 46th of 47
Consistency
± 17.5 swingier than most
Avg tokens
12.4k in+out
Latency
28s per call
Family check:Qwen3.8 Max is Alibaba (Qwen)'s best writer here, +56.8 overall vs this config for $0.148 more per script.

The short version

Qwen2.5 7B sits at #129 of 130 on ToneBench, toward the value end of the board, with a writing Elo of -136 and an overall score of 26.7 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 Alibaba (Qwen) it ranks 10th of 10. Qwen3.8 Max is the family's top writer here, about 2001 Elo ahead, so this config trades some quality for whatever it saves you in cost or speed.

Among open-weights models, it comes in 46th of 47. Open weights still trail the closed frontier on pure voice fidelity, and you can see that in the gap at the top.

Worth knowing before you rely on it: this model is swingy. Its overall score moves ± 17.5 points between runs of the same brief, versus a board median of ± 3.8. A great draft and a mediocre one can come from the identical prompt. The shaded bands on the metric bars below show where that volatility lives.

What it does best is Length Discipline: it ranks 124th on that dimension at 25.1, well below the board average. Its softer spot is Tone & Voice (26.7, 130th), 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 (52.3) and its weakest was the founder announcement / personal origin story (5.9), a spread of about 46 points. Worth knowing if your writing skews toward one of those formats.

On cost, it runs about $0.001/task. Cohere Command A Reasoning scores higher for less money, at $0/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: Anti-Slop (-21.4); furthest behind: Flow & Emotion (-55.6).

50Tone?Craft?Substance?Flow?YouTube?Hook?Length?Anti-Slop?Cues?
Qwen2.5 7BBoard 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 · -51.6 vs avg
best · Claude Opus 5 (max effort) · 91.226.7± 3.3 · 130thboard avg · 78.3
Writing Craft ?13% weight · -51.2 vs avg
best · Claude Opus 5 (max effort) · 91.127.7± 4.2 · 130thboard avg · 78.9
Substance & Value ?15% weight · -47.5 vs avg
best · Claude Opus 5 (max effort) · 90.631.2± 4.0 · 130thboard avg · 78.7
Flow & Emotion ?14% weight · -55.6 vs avg
best · Claude Opus 5 (max effort) · 90.418.8± 3.2 · 130thboard avg · 74.4
YouTube Structure ?12% weight · -54.1 vs avg
best · Claude Opus 5 (max effort) · 89.619.2± 3.1 · 130thboard avg · 73.3
Hook ?10% weight · -55.3 vs avg
best · Claude Opus 5 (max effort) · 92.024.9± 4.1 · 130thboard avg · 80.2
Length Discipline ?8% weight · -42.1 vs avg
best · GPT-5.6 Sol (ultra) · 94.325.1± 4.6 · 124thboard avg · 67.2
Anti-Slop ?5% weight · -21.4 vs avg
best · Claude Fable 5 (max effort + 4.8 fallback) · 93.761.3± 3.3 · 127thboard avg · 82.8
Visual Cues ?4% weight · -53.9 vs avg
best · GPT-5.6 Sol (xhigh) · 91.420.6± 4.5 · 129thboard 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
28.0
out of 100
Article 2
news-analysis / skeptical explainer
51.9
out of 100
Article 3
personal roadmap / opinion
41.3
out of 100
Article 4
short explainer
18.2
out of 100
Article 5
news-analysis / opinion explainer
25.6
out of 100
Article 6
founder announcement / personal origin story
5.9
out of 100
Article 7
personal technical walkthrough / agentic workflow case study
10.4
out of 100
Article 8
product release announcement / personal observation
52.3
out of 100
Article 9
career guide / hiring analysis
6.3
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, Qwen2.5 7B varies by ± 17.5 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 Tone & Voice (± 3.3 vs a board median of ± 2.2): two runs of the same brief can land visibly different tone & voice scores. Its steadiest is Length Discipline (± 4.6 vs ± 8.6 board median), which you can rely on run after run.

MetricThis modelBoard medianVerdict
Tone & Voice ?26.7 ± 3.3± 2.2swingier than most
Writing Craft ?27.7 ± 4.2± 2.0swingier than most
Substance & Value ?31.2 ± 4.0± 2.6swingier than most
Flow & Emotion ?18.8 ± 3.2± 2.6typical
YouTube Structure ?19.2 ± 3.1± 3.6typical
Hook ?24.9 ± 4.1± 3.0typical
Length Discipline ?25.1 ± 4.6± 8.6steadier than most
Anti-Slop ?61.3 ± 3.3± 2.6typical
Visual Cues ?20.6 ± 4.5± 4.7typical

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
28sfaster than the board median of 70s
Prompt tokens in
10.9kstyle guide + brief + research packet
Tokens out
1.5kscript + any reasoning tokens
Cost per script
$0.001 ± 0.000measured from actual billed tokens
List price used
$0.1 / $0.2 per M tokinput / output

What each judge scored it

The published overall of 26.7 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 9.3 points on its overall. A typical amount of judge disagreement for this board. How the panel works: methodology.

Claude Opus 5
Anthropic
21.1
GPT-5.6 Sol (medium)
OpenAI
30.4
DeepSeek V4 Flash
DeepSeek
28.1

How we ran Qwen2.5 7B

Frequently asked questions

How good is Qwen2.5 7B at writing?

On ToneBench it ranks #129 of 130 with a writing Elo of -136 and an overall score of 26.7/100. 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 Qwen2.5 7B the best Alibaba (Qwen) model for writing?

Not quite. Within Alibaba (Qwen) it ranks 10th of 10; Qwen3.8 Max is the family's best writer here.

Is Qwen2.5 7B good value for the money?

It costs about $0.001/task. Cohere Command A Reasoning scores higher for less, so it is not the value pick.

What are Qwen2.5 7B's strengths and weaknesses?

Its strongest dimension is Length Discipline (124th on the board, 25.1). Its weakest is Tone & Voice (130th on the board, 26.7). The full nine-metric breakdown is on this page.

Does Qwen2.5 7B write some formats better than others?

Yes. Its best of our 9 scripts was the product release announcement / personal observation (52.3) and its weakest was the founder announcement / personal origin story (5.9).

How consistent is Qwen2.5 7B between runs?

We run every script 5 times. Qwen2.5 7B's overall score varies by about ±17.5 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 Qwen2.5 7B evaluated?

Via OpenRouter using the exact model/route id qwen/qwen-2.5-7b-instruct, run on 2026-08-10. 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 Qwen2.5 7B open source?

Yes, it is an open-weights model. Among open-weights models it ranks 46th of 47 for writing.

← Back to the full ToneBench leaderboard