ERNIE 4.5 VL 424B A47B
ERNIE 4.5 VL 424B A47B is an AI model from Baidu built for agent workflows, with support for image, text input and text output. 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...
What is ERNIE 4.5 VL 424B A47B ?
ERNIE 4.5 VL 424B A47B is an AI model from Baidu that Agent Mag tracks for pricing, context window, modalities, benchmarks, and API compatibility. Builders can use this page to compare ERNIE 4.5 VL 424B A47B against other models for agent workflows and production deployments.
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...
More from Baidu
Qianfan-OCR-Fast is a domain-specific multimodal large model purpose-built for OCR. By leveraging specialized OCR training data while preserving versatile multimodal intelligence, it provides a powerful performance upgrade over Qianfan-OCR.
ERNIE-4.5-21B-A3B-Thinking is Baidu's upgraded lightweight MoE model, refined to boost reasoning depth and quality for top-tier performance in logical puzzles, math, science, coding, text generation, and expert-level academic benchmarks.
A sophisticated text-based Mixture-of-Experts (MoE) model featuring 21B total parameters with 3B activated per token, delivering exceptional multimodal understanding and generation through heterogeneous MoE structures and modality-isolated routing. Supporting an...
A powerful multimodal Mixture-of-Experts chat model featuring 28B total parameters with 3B activated per token, delivering exceptional text and vision understanding through its innovative heterogeneous MoE structure with modality-isolated routing....
Related content
Compare pricing, local installs, context windows, and modality filters across the full model catalog.
Find frameworks, SDKs, and infrastructure tools that pair with this model in production workflows.
See Agent Mag coverage of model benchmarks, agent frameworks, and deployment patterns.