Vibe Code Bench: Results as Published

Vibe Code Bench tests whether an AI model can build a complete, working web application from a written description, starting from nothing. The benchmark has 100 app specifications split into validation and held-out test sets. An automated browser agent then checks each deployed app against 964 multi-step user workflows, and the score is the accuracy across their 10,131 steps.

Every number here is read from the same catalog file as the benchmark table, data version 2026103001, and is the number the table shows for that model and test. Where one page printed a model under several setups, each value is listed. The catalog is public in armanobosyan/sugra-llm-benchmarks; a wrong number can be reported from the table, with Report an error under the value, or as an issue in that repository.