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 424B parameters, and 128K context length, requiring about 717.95 GB storage, under the Apache 2.0 license, with a 76.80 score on GPQA Diamond.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Model basics
Open source & experience
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Benchmark Results
ERNIE-4.5-VL-424B-A47B-Base currently shows benchmark results led by GPQA Diamond (90 / 179, score 76.80), MMMU (22 / 28, score 70), LiveCodeBench (100 / 120, 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.
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Model Overview
ERNIE-4.5-VL-424B-A47B-Base is an AI model published by 百度, released on 2025-06-30, for Multimodal model, with 424B parameters, and 128K context length, requiring about 717.95 GB storage, under the Apache 2.0 license, with a 76.80 score on GPQA Diamond.
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