ERNIE 4.5 VL 424B A47B
ERNIE-4.5-VL-424B-A47B is a multimodal Mixture-of-Experts (MoE) model from Baidu’s ERNIE 4.5 series, featuring 424B total parameters with 47B active per token. It is trained jointly on text and image data using a heterogeneous MoE architecture and modality-isolated routing to enable high-fidelity cross-modal reasoning, image understanding, and long-context generation (up to 131k tokens).
Input
Output
Context
123K
Max Output
16K
Parameters
424B
Technical Specifications
Model TypeVision
Context Window123K
Max Output Tokens16K
Parameters424B
Training Cutoff—
License—
Capabilities
Input Modalities
imagetext
Output Modalities
text
Features
vision
Estimated GPU Requirements for ERNIE 4.5 VL 424B A47B
Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
Related Tools
Data sourced from official provider APIs and documentation
Last updated: May 5, 2026
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