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.

Zhipu AIGLM-5V-Turbo leads with 93.8%.

Progress Over Time

Interactive timeline showing model performance evolution on Flame-VLM-Code

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Flame-VLM-Code Leaderboard

1 models
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Zhipu AI
Zhipu AI
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FAQ

Common questions about Flame-VLM-Code.

What is the Flame-VLM-Code benchmark?

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.

What is the Flame-VLM-Code leaderboard?

The Flame-VLM-Code leaderboard ranks 1 AI models based on their performance on this benchmark. Currently, GLM-5V-Turbo by Zhipu AI leads with a score of 0.938. The average score across all models is 0.938.

What is the highest Flame-VLM-Code score?

The highest Flame-VLM-Code score is 0.938, achieved by GLM-5V-Turbo from Zhipu AI.

How many models are evaluated on Flame-VLM-Code?

1 models have been evaluated on the Flame-VLM-Code benchmark, with 0 verified results and 1 self-reported results.

What categories does Flame-VLM-Code cover?

Flame-VLM-Code is categorized under coding, multimodal, and vision. The benchmark evaluates multimodal models.

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