Although GLM-4.5 has multimodal processing capabilities for text and images, the following limitations exist:
- Media Type: Currently only supports static images (JPEG/PNG, etc.) and PDF parsing, does not support video processing
- concurrency limit: vLLM API handles up to 300 images in a single request
- graphic understanding: Lower accuracy than dedicated CV models for complex visual tasks (e.g. object detection)
- cross-modal association:: Graphical and textual joint reasoning capabilities (e.g., generating analytical reports based on graphs) are still being optimized
Suggestions for practical applications: for scenarios such as photo analysis of math problems, better results can be obtained with structured output (format="json"); professional image processing should be combined with OpenCV and other specialized libraries.
This answer comes from the articleGLM-4.5: Open Source Multimodal Large Model Supporting Intelligent Reasoning and Code GenerationThe
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