Qwen3 Next 80B
Alibaba (Qwen) · open weights · writing benchmark
The short version
Qwen3 Next 80B sits at #114 of 130 on ToneBench, toward the value end of the board, with a writing Elo of 639 and an overall score of 63.5 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 7th of 10. Qwen3.8 Max is the family's top writer here, about 1226 Elo ahead, so this config trades some quality for whatever it saves you in cost or speed.
Among open-weights models, it comes in 34th of 47. Open weights still trail the closed frontier on pure voice fidelity, and you can see that in the gap at the top.
What it does best is Length Discipline: it ranks 51st on that dimension at 76.1, well above the board average. Its softer spot is Visual Cues (27.9, 126th), 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 (71.7) and its weakest was the short explainer (58.4), a spread of about 13 points. Worth knowing if your writing skews toward one of those formats.
On cost, it runs about $0.004/task. gpt-oss 120B scores higher for less money, at $0.001/task, so on pure value this config is not the frontier. Still, it beats 3 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 (+9.0); furthest behind: Visual Cues (-46.6).
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.
Per-article scores
The same 9 real scripts every current-ranked model writes, scored individually. Different formats stress different skills.
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, Qwen3 Next 80B varies by ± 5.5 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 (± 3.7 vs a board median of ± 2.2): two runs of the same brief can land visibly different tone & voice scores.
| Metric | This model | Board median | Verdict |
|---|---|---|---|
| Tone & Voice ? | 71.3 ± 3.7 | ± 2.2 | swingier than most |
| Writing Craft ? | 67.0 ± 4.7 | ± 2.0 | swingier than most |
| Substance & Value ? | 57.3 ± 4.5 | ± 2.6 | swingier than most |
| Flow & Emotion ? | 61.3 ± 5.1 | ± 2.6 | swingier than most |
| YouTube Structure ? | 48.4 ± 7.4 | ± 3.6 | swingier than most |
| Hook ? | 77.2 ± 4.8 | ± 3.0 | swingier than most |
| Length Discipline ? | 76.1 ± 9.4 | ± 8.6 | typical |
| Anti-Slop ? | 66.5 ± 3.2 | ± 2.6 | typical |
| Visual Cues ? | 27.9 ± 9.2 | ± 4.7 | swingier 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.
What each judge scored it
The published overall of 63.5 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 18.6 points on its overall. That gap is wider than typical (board median 9.0): DeepSeek V4 Flash rates it noticeably higher than Claude Opus 5. Read the per-metric numbers knowing the consensus sits between two real opinions. How the panel works: methodology.
How we ran Qwen3 Next 80B
- Accessed viaOpenRouter · model page ↗
- Exact model / route id
qwen/qwen3-next-80b-a3b-instruct(provider default reasoning) - Audited route overrideOpenRouter ·
qwen/qwen3-next-80b-a3b-instructforautomated_video_workflow(Task-7 exact OpenRouter endpoint pin alibaba/fp8) - Generations5 independent runs × 9 scripts = 45 drafts, stored immutably after generation
- Run dates2026-07-29 → 2026-08-11
- Judges3-judge panel: Claude Opus 5, high effort (Anthropic) + DeepSeek V4 Flash (OpenRouter) + GPT-5.6 Sol, medium reasoning (Codex CLI): every draft scored independently by all three with the identical rubric, blind to model identity, evidence quotes required before each metric score; published score = per-metric consensus mean, verified with a Bradley-Terry refit (methodology)
- Samplingprovider-default sampling, no fine-tuning, no system-prompt changes; every current-ranked model gets the identical brief, style contract and research packet
- What stays privatethe exact rubric and any non-public reference material; source-publication timing is disclosed for exceptions (why)
Frequently asked questions
How good is Qwen3 Next 80B at writing?
On ToneBench it ranks #114 of 130 with a writing Elo of 639 and an overall score of 63.5/100. 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.
Is Qwen3 Next 80B the best Alibaba (Qwen) model for writing?
Not quite. Within Alibaba (Qwen) it ranks 7th of 10; Qwen3.8 Max is the family's best writer here.
Is Qwen3 Next 80B good value for the money?
It costs about $0.004/task. gpt-oss 120B scores higher for less, so it is not the value pick.
What are Qwen3 Next 80B's strengths and weaknesses?
Its strongest dimension is Length Discipline (51st on the board, 76.1). Its weakest is Visual Cues (126th on the board, 27.9). The full nine-metric breakdown is on this page.
Does Qwen3 Next 80B write some formats better than others?
Yes. Its best of our 9 scripts was the product release announcement / personal observation (71.7) and its weakest was the short explainer (58.4).
How consistent is Qwen3 Next 80B between runs?
We run every script 5 times. Qwen3 Next 80B's overall score varies by about ±5.5 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 Qwen3 Next 80B evaluated?
Via OpenRouter using the exact model/route id qwen/qwen3-next-80b-a3b-instruct, 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 Qwen3 Next 80B open source?
Yes, it is an open-weights model. Among open-weights models it ranks 34th of 47 for writing.