Artifacts Bench
Artifacts Bench evaluates a model's ability to generate visual code artifacts, measuring the quality of generated interactive and visual front-end outputs from natural-language requests.
MAI-Code-1-Flash from Microsoft currently leads the Artifacts Bench leaderboard with a score of 0.364 across 1 evaluated AI models.
What Artifacts Bench measures
Artifacts Bench is a text benchmark that evaluates large language models on frontend development and code tasks. LLM Stats tracks 1 model on this benchmark, with a maximum possible score of 1. Current average across reported models is 0.4, with the leader reaching 0.4.
Compare leaders on the best AI for frontend development and best AI for code leaderboards.
MAI-Code-1-Flash leads with 36.4%.
Progress Over Time
Interactive timeline showing model performance evolution on Artifacts Bench
Artifacts Bench Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | Microsoft | — | — | — |
FAQ
Common questions about Artifacts Bench.
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