ERNIE-4.5-VL-424B-A47B-Base
ERNIE-4.5-VL-424B-A47B-Base is an AI model published by 百度, released on 2025-06-30, for Multimodal model, with 4240.0B parameters, and 128K tokens context length, requiring about 717.95 GB storage, under the Apache 2.0 license.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
ERNIE-4.5-VL-424B-A47B-Base currently shows benchmark results led by GPQA Diamond (86 / 175, score 76.80), MMMU (22 / 28, score 70), LiveCodeBench (98 / 118, score 38.80). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
ERNIE-4.5-VL-424B-A47B-Base is an AI model published by 百度, released on 2025-06-30, for Multimodal model, with 4240.0B parameters, and 128K tokens context length, requiring about 717.95 GB storage, under the Apache 2.0 license.
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