QwenReactBench

Model builds bilingual React projects in Claude Code across 7 categories. Rendered outputs judged by a multimodal model, ranked with Bradley-Terry Elo.

Lab-created in-house eval (Alibaba Qwen).

Made by Alibaba Qwen Web and app front ends Tasks kept private Last in a launch post Aug 2026 Last model added Aug 2026

Level: Expert Specialists with years of training, often over hours of work
Scored: Graded by a model A language model scores each response, usually against a rubric.
Answers: Open-ended Free-form text, documents, designs or media judged as a whole.

Model scored in lab cards

Launch post lists it, from 1 lab

Qwen 3.8 Max leads with 1,724

Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.

Bars Table

Bars start at 1,637.8.

1,724 Qwen 3.8 Max

Bars start at 1,637.8.

1 Qwen 3.8 Max 1,724

#	Model	Score	Setting	Date	Source
1	Qwen 3.8 Max	1,724		Aug 2026	Model card

Scores over time

All the scores we have, one dot each, so a model tested at several settings appears more than once.

Reported by the lab in its model card

One lab put it in a launch post in the last six months

Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.

Qwen

Date	Launch post	Score	As the post writes it
3 Aug 2026	Qwen 3.8 Max	1724	QwenReactBench

Qwen 3.8 Max leads with 1,724

Scores over time

One lab put it in a launch post in the last six months

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