WebApp1K: A Practical Code-Generation Benchmark for Web App Development
Not on the map. Why?
Abstract (arXiv)
We introduce WebApp1K, a practical code-generation benchmark to measure LLM ability to develop web apps. This benchmark aims to calibrate LLM output and aid the models to progressively improve code correctness and functionality. The benchmark is lightweight and easy to run. We present the initial version of WebApp1K, and share our findings of running the benchmark against the latest frontier LLMs. First, open source LLMs deliver impressive performance, closely trailing behind GPT-4o and Claude 3.5. Second, model size has strong correlation with code correctness. Third, no prompting techniques have been found to lift performance either universally to all models, or significantly to a single model.
Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 6 of its 12 references that are in the map. First posted on arXiv 30 Jul 2024.
Builds on
6 of 12 references.
References · 6
- 2021Evaluating Large Language Models Trained on Codecited by 8,053
- 2021Program Synthesis with Large Language Modelscited by 3,509
- 2023SWE-bench: Can Language Models Resolve Real-World GitHub Issues?cited by 3,193
- 2024A Survey on Large Language Models for Code Generationcited by 646
- 2022DS-1000: A Natural and Reliable Benchmark for Data Science Code Generationcited by 442
- 2023ClassEval: A Manually-Crafted Benchmark for Evaluating LLMs on Class-level Code Generationcited by 166
Built on by
Citing papers per year: 2024: 2; 2025: 4; 2026: 4.
10 papers.
- 2026WebCompass: Towards Multimodal Web Coding Evaluation for Code Language Modelscited by 6
- 2025LLM Code Customization with Visual Results: A Benchmark on TikZcited by 5
- 2025Benchmarking AI Models in Software Engineering: A Review, Search Tool, and Unified Approach for Elevating Benchmark Qualitycited by 3
- 2026PairCoder++: Pair Programming as a Universal Paradigm for Verified Code-Driven Multimodal and Structured-Artifact Generationcited by 2
- 2024Insights from Benchmarking Frontier Language Models on Web App Code Generationcited by 1
- 2025LLMs for Automated Unit Test Generation and Assessment in Java: The AgoneTest Frameworkcited by 1
- 2024A Case Study of Web App Coding with OpenAI Reasoning Modelscited by 0
- 2025CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generationcited by 0
- 2026OpenHarmony Bench: Evaluating LLMs and Coding Agents on OpenHarmony App Developmentcited by 0
- 2026Signal or Noise? A Benchmark Study of Agent Skills in Web Developmentcited by 0
- 2026Signal or Noise? A Benchmark Study of Agent Skills in Web Development24 Aug 2026
- 2026OpenHarmony Bench: Evaluating LLMs and Coding Agents on OpenHarmony App Development17 Aug 2026
- 2026PairCoder++: Pair Programming as a Universal Paradigm for Verified Code-Driven Multimodal and Structured-Artifact Generation2 Jul 2026
- 2026WebCompass: Towards Multimodal Web Coding Evaluation for Code Language Models20 Apr 2026
- 2025LLMs for Automated Unit Test Generation and Assessment in Java: The AgoneTest Framework25 Nov 2025
- 2025CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation26 Jul 2025
- 2025LLM Code Customization with Visual Results: A Benchmark on TikZ7 May 2025
- 2025Benchmarking AI Models in Software Engineering: A Review, Search Tool, and Unified Approach for Elevating Benchmark Quality7 Mar 2025
- 2024A Case Study of Web App Coding with OpenAI Reasoning Models19 Sep 2024
- 2024Insights from Benchmarking Frontier Language Models on Web App Code Generation8 Sep 2024