Flame-VLM-Code
Flame-VLM-Code evaluates multimodal models on visual code generation tasks, measuring ability to generate code from visual inputs such as UI mockups and design specifications.
GLM-5V-Turbo from Zhipu AI currently leads the Flame-VLM-Code leaderboard with a score of 0.938 across 1 evaluated AI models.
What Flame-VLM-Code measures
Flame-VLM-Code is a multimodal benchmark that evaluates large language models on multimodal, coding, and vision tasks. LLM Stats tracks 1 model on this benchmark, with a maximum possible score of 1. Current average across reported models is 0.9, with the leader reaching 0.9.
Compare leaders on the best AI for multimodal, best AI for coding and best AI for vision leaderboards.
GLM-5V-Turbo leads with 93.8%.
Progress Over Time
Interactive timeline showing model performance evolution on Flame-VLM-Code
Flame-VLM-Code Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | Zhipu AI | — | — | — |
FAQ
Common questions about Flame-VLM-Code.
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