WritingBench
WritingBench - benchmark evaluating fine-grained writing capabilities with verifiable constraints.
Category
Instruction Following
Score type
percent
Scale
100%
higher is better
Models tested
2
What is WritingBench?
WritingBench evaluates open-ended writing tasks: speeches, marketing copy, academic drafts, creative text. Rubrics measure whether the piece actually fulfils its brief — a step beyond 'sounds good' towards measurable writing quality.
What does it test?
WritingBench measures how precisely a model obeys the instructions it was given. In detail, it checks:
- fulfilling the specific writing brief (genre, audience, goal)
- verifiable constraints inside the text
- quality judged by rubric criteria
- stylistic breadth across very different text formats
How to read the score
The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better.
Frequently asked questions
What is the WritingBench benchmark?
WritingBench evaluates open-ended writing tasks: speeches, marketing copy, academic drafts, creative text. Rubrics measure whether the piece actually fulfils its brief — a step beyond 'sounds good' towards measurable writing quality.
What does WritingBench test?
WritingBench mainly measures how precisely a model obeys the instructions it was given. Concretely, it checks: fulfilling the specific writing brief (genre, audience, goal); verifiable constraints inside the text; quality judged by rubric criteria.
How is the WritingBench score calculated?
The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better. The declared maximum score of this benchmark is 100.0.
Where do I get WritingBench data and scores?
The official source is https://arxiv.org/abs/2503.05244. The official benchmark page/reference is linked on this page. Every score on Open LLM Radar is also available as open data: download the scores JSON (http://open-llm-radar-api:8000/api/v1/benchmarks/writingbench/scores) or pull it directly from the Open LLM Radar API with any HTTP client.
Benchmark data & downloads
Where to get, inspect and reuse the data behind this benchmark.
Official benchmark page / paper
The benchmark maintainer's website, paper or leaderboard
Benchmark metadata (JSON)
This page's benchmark record from the Open LLM Radar API
All model scores (JSON download)
Full score table as JSON; paginate with limit/offset params
Open LLM Radar API docs
Swagger UI to explore and reuse all radar API endpoints
Model scores 2 models tested
| # | Model | Score | Date | Source | Verified |
|---|---|---|---|---|---|
| 1 |
Qwen3-Next-80B-A3B-Thinking
Qwen
|
84.6%
|
10.09.2025 | Report | Verified |
| 2 |
Qwen3-VL-30B-A3B
Qwen
|
82.6%
|
04.10.2025 | Report | Verified |