Alibaba (Qwen) · proprietary · writing benchmark
Qwen3.7 Max (high) sits at #55 of 130 on ToneBench, in the middle of the pack, with a writing Elo of 1674 and an overall score of 81.5 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 3rd of 10. Qwen3.8 Max is the family's top writer here, about 192 Elo ahead, so this config trades some quality for whatever it saves you in cost or speed.
Among proprietary models, it comes in 47th 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 36th on that dimension at 83.3, well above the board average. Its softer spot is Visual Cues (78.4, 76th), 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 (83.3) and its weakest was the personal technical walkthrough / agentic workflow case study (76.8), a spread of about 6 points. Worth knowing if your writing skews toward one of those formats.
On cost, it runs about $0.054/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 6 models that cost noticeably more.
If you're tuning reasoning effort, we also tested Qwen3.7 Max at other settings. The strongest of those on the board is Qwen3.7 Max (default) (Elo 1699), so it is worth checking whether more or less thinking moves the needle before you lock in this one.
The shape is the story: the further a corner reaches, the stronger that dimension. Biggest edge over the board: Length Discipline (+16.2); smallest edge: Substance & Value (+2.5).
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.
The same 9 real scripts every current-ranked model writes, scored individually. Different formats stress different skills.
Every cell on this page is the mean of 5 independent runs per script; the ± numbers are the run-to-run standard deviation. Overall, Qwen3.7 Max (high) varies by ± 2.6 points between runs versus a board median of ± 3.8, so it is noticeably steadier than the typical model here.
Its most volatile dimension is Visual Cues (± 7.6 vs a board median of ± 4.7): two runs of the same brief can land visibly different visual cues scores.
| Metric | This model | Board median | Verdict |
|---|---|---|---|
| Tone & Voice ? | 80.9 ± 1.9 | ± 2.2 | typical |
| Writing Craft ? | 81.5 ± 2.3 | ± 2.0 | typical |
| Substance & Value ? | 81.2 ± 2.8 | ± 2.6 | typical |
| Flow & Emotion ? | 79.2 ± 2.0 | ± 2.6 | typical |
| YouTube Structure ? | 80.7 ± 2.6 | ± 3.6 | typical |
| Hook ? | 85.0 ± 1.9 | ± 3.0 | typical |
| Length Discipline ? | 83.3 ± 5.8 | ± 8.6 | typical |
| Anti-Slop ? | 85.9 ± 2.6 | ± 2.6 | typical |
| Visual Cues ? | 78.4 ± 7.6 | ± 4.7 | swingier than most |
Numbers we log on every run and rarely talk about. None of these affect the writing scores; cost and latency are informational.
The published overall of 81.5 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 6.8 points on its overall. A typical amount of judge disagreement for this board. How the panel works: methodology.
qwen/qwen3.7-max at reasoning_effort: highqwen/qwen3.7-max for automated_video_workflow (Task-7 exact OpenRouter endpoint pin alibaba/fp8)On ToneBench it ranks #55 of 130 with a writing Elo of 1674 and an overall score of 81.5/100. 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.
Not quite. Within Alibaba (Qwen) it ranks 3rd of 10; Qwen3.8 Max is the family's best writer here.
It costs about $0.054/task. DeepSeek V4 Flash 0731 scores higher for less, so it is not the value pick.
Its strongest dimension is Length Discipline (36th on the board, 83.3). Its weakest is Visual Cues (76th on the board, 78.4). The full nine-metric breakdown is on this page.
Yes. Its best of our 9 scripts was the founder announcement / personal origin story (83.3) and its weakest was the personal technical walkthrough / agentic workflow case study (76.8).
We run every script 5 times. Qwen3.7 Max (high)'s overall score varies by about ±2.6 points between runs, versus a board median of ±3.8. That makes it one of the steadier models we test. The full per-metric variability table is on this page.
Via OpenRouter using the exact model/route id qwen/qwen3.7-max 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.
No, it is a proprietary (closed-weights) model. Among proprietary models it ranks 47th of 83 for writing.